From a037b99a198c944a4ddbbe1d952bda1f42ab2ffa Mon Sep 17 00:00:00 2001
From: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Date: Sat, 31 Oct 2026 11:39:58 +0800
Subject: [PATCH 1/6] docs: describe hardware skill conditions and advice
Preserve source provenance and evidence states while making the declared scope explicit.
Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
---
.../ascend-aclgraph-capture-replay/metadata.json | 14 +++++++++++++-
.../ascend/ascend-device-health/metadata.json | 14 +++++++++++++-
.../ascend-distributed-parallel/metadata.json | 12 ++++++++++++
.../ascend/ascend-graph-mode/metadata.json | 12 ++++++++++++
.../ascend/ascend-model-adaptation/metadata.json | 14 +++++++++++++-
.../ascend-operator-profiling/metadata.json | 14 +++++++++++++-
.../ascend/ascend-operator-tuning/metadata.json | 15 ++++++++++++++-
.../ascend-optimization-casebook/metadata.json | 13 ++++++++++++-
.../ascend-performance-analysis/metadata.json | 14 +++++++++++++-
.../metadata.json | 16 +++++++++++++---
.../ascend/ascendc-tiling-design/metadata.json | 13 ++++++++++++-
.../cann-attribution-overlap/metadata.json | 15 ++++++++++++++-
.../metadata.json | 13 ++++++++++++-
.../metadata.json | 13 ++++++++++++-
.../diagnose-attention-bottlenecks/metadata.json | 13 ++++++++++++-
.../cuda/host-overhead-profiling/metadata.json | 14 +++++++++++++-
.../cuda/reason-hopper-kernels/metadata.json | 12 ++++++++++--
.../host/cgroup-resource-controls/metadata.json | 15 ++++++++++++++-
.../host/host-memory-management/metadata.json | 13 ++++++++++++-
.../host-overhead-optimization/metadata.json | 14 +++++++++++++-
.../host/os-process-placement/metadata.json | 14 +++++++++++++-
.../host/storage-io-measurement/metadata.json | 15 ++++++++++++++-
22 files changed, 279 insertions(+), 23 deletions(-)
diff --git a/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json b/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json
index 12434bb01..2aaea9993 100644
--- a/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json
@@ -20,5 +20,17 @@
"provenance_readsets": [
"references/source-notes.md"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Diagnose vLLM-Ascend ACLGraph eligibility, capture/replay dispatch, caller-buffer ownership and capture-resource failures.",
+ "prerequisites": "An existing eager correctness baseline; authorization before any new run or live configuration change.",
+ "input_contract": "Installed stack and device, requested/effective graph mode, runner/backend settings, capture sizes and batch descriptors, error phase, replay observations and HBM/stream evidence.",
+ "produced_artifact": "A bounded diagnosis, smallest reversible proposal, expected tradeoff and correctness/resource verification plan with unresolved compatibility or authorization questions.",
+ "refusal_point": "Stop on output mismatch, unstable replay addresses, capture exhaustion, unknown ordering or version drift; missing evidence permits only a conditional proposal."
+ },
+ "recommendations": [
+ "Diagnose the effective runtime mode and batch descriptor before changing capture sizes; intended warmup/profile bypass is not a cache defect.",
+ "Trace stable replay buffers to the owning caller and preserve synchronization/update ordering; the wrapper does not stage new inputs into persistent buffers.",
+ "Compare eager and graph execution on the same workload, separating initial capture, repeated replay, compiler changes and memory/stream costs; a replay log alone proves neither coverage nor speedup."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json b/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json
index 4b807de3d..ffc1a92b3 100644
--- a/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json
@@ -20,5 +20,17 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Pre-run Ascend device-health, topology, occupancy and timing checks before a trusted baseline, multi-card run or graph capture, including after a killed job.",
+ "hardware": "Ascend NPU card groups with topology and health visible through npu-smi.",
+ "input_contract": "Intended card group, current topology/health and process occupancy, prior termination history and expected workload step timing.",
+ "produced_artifact": "A pre-run health/occupancy and step-timing record, with recovery observations and a baseline-remeasurement requirement after a card-group change.",
+ "failure_modes": "Health=OK can miss degraded post-kill timing; foreign processes, unwarmed clocks or comparing different card groups can contaminate the baseline."
+ },
+ "recommendations": [
+ "Read topology each session rather than hardcoding card numbers, then check health and foreign-process occupancy before the workload smoke check.",
+ "Use the short step-timing check to investigate post-kill degradation; record affected cards and timings instead of treating Health=OK as sufficient evidence.",
+ "Warm up operator measurements and remeasure the baseline after changing card groups; set only environment variables needed by the run."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json b/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json
index db5b7e067..d698e50b1 100644
--- a/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json
@@ -80,5 +80,17 @@
"references/hccl-allreduce.md",
"references/hccl-allreduce-readset.json",
"references/hccl-LICENSE.md"
+ ],
+ "applicability": {
+ "scope": "Select and diagnose Ascend parallel strategies and their activation/overlap, with a separately bounded native multi-rank HCCL AllReduce dispatch and correctness procedure.",
+ "input_contract": "Installed collective/runtime builds, rank/device map and topology, workload/strategy settings, count/dtype/reduction, effective dispatch, per-rank outputs and completed-collective/application timing evidence.",
+ "produced_artifact": "A topology- and workload-qualified strategy/dispatch diagnosis, activation and correctness checks, stage-cost attribution and a target-validation proposal; isolated test completion is not a service result.",
+ "failure_modes": "Requested parallel settings can silently fall back; stale local-head/chunk/shard parameters can disable a path, and changed topology/card count can confound strategy comparisons."
+ },
+ "recommendations": [
+ "Confirm the final collective algorithm/engine after fallback and observe sharding/collective activation before interpreting correct outputs or tuning performance.",
+ "Preserve peer/thread waits and test distinct rank/position data with explicit completion on every rank; keep enqueue time, collective completion and application-stage timing separate.",
+ "Recompute topology-derived parameters and remeasure the anchor after changing card groups or parallel degree; inherited diffusion topology restrictions are not universal HCCL gates.",
+ "Require producer/consumer timeline and exposed-communication evidence for overlap; compare the real pipeline wait cost rather than extrapolating small collectives from bytes."
]
}
diff --git a/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json b/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json
index 62b8305e6..144b6045d 100644
--- a/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json
@@ -61,5 +61,17 @@
"references/torchair-LICENSE.md",
"references/legacy-source-notes.md",
"../ascend-aclgraph-capture-replay/SKILL.md"
+ ],
+ "applicability": {
+ "scope": "Diagnose the TorchAir Python ACL graph path from configuration and FX compilation through capture-key selection, fallback, input staging, replay and output lifetime.",
+ "prerequisites": "Eager correctness established first; configuration must match the installed backend, with authorization and workload-specific tolerances for any NPU comparison.",
+ "input_contract": "Installed hardware/runtime versions, actual compile backend/options, shape/dtype/stride and alias/mutation contract, retained outputs, capture/replay/fallback observations and workload mix.",
+ "produced_artifact": "A branch-specific diagnosis and bounded configuration or lifetime proposal with correctness, cold/warm cost, resource and concurrency checks still required on the actual stack.",
+ "failure_modes": "Shape equality or clone_input=False does not prove capture reuse or zero-copy; capture limits can trigger persistent fallback and later replay can overwrite retained outputs."
+ },
+ "recommendations": [
+ "Use the installed CompilerConfig/backend surface and a fresh compiled instance for option changes; do not mix registered-backend snippets with callable-backend configuration.",
+ "Observe capture, recapture, replay and persistent fallback separately, including changed addresses and revisiting old keys after a capture-limit event.",
+ "Preserve earlier results before another replay and check views/input-output aliases; keep cold capture, input/output copying, optional compiler passes and service timing separate."
]
}
diff --git a/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json b/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json
index f278df661..767cd2646 100644
--- a/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json
@@ -19,5 +19,17 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Checkpoint onboarding for LLM/VLM adapters on Ascend: weight/scale loading, KV-head replication under tensor parallelism and staged multimodal feature checks.",
+ "prerequisites": "Check the installed CANN and checkpoint format against the versioned guidance; final sign-off requires real weights and at least one full-layer validation.",
+ "input_contract": "Checkpoint weights/configuration and scale keys, attention-head/TP configuration, model modalities and expected graph/capacity features.",
+ "produced_artifact": "A checkpoint/feature report separating dummy and real-weight evidence, applicable feature outcomes, and theoretical versus demonstrated serving capacity.",
+ "failure_modes": "Dummy-only success misses scale/remapping/sharding defects; blindly sharding replicated KV heads or accepting reduced-layer results can conceal loading or full-model failures."
+ },
+ "recommendations": [
+ "Gate onboarding in order: dummy architecture check, real-weight loading, model endpoint, text request and then multimodal request when the model supports VL; retain the evidence each stage actually supplies.",
+ "Check weight/scale pairing and each attention tensor loading path, especially when TP exceeds the KV-head count; verify historical FP8 guidance against the actual stack.",
+ "Expand capacity/concurrency only after basic modality and expected replay checks; mark MoE-only features inapplicable for non-MoE models and require full-layer validation before sign-off."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json b/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json
index 286692d5d..58068bb3f 100644
--- a/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json
@@ -24,5 +24,17 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Build, measure and diagnose one Ascend operator in isolation using msprof op, before interpreting system-level or multi-kernel performance.",
+ "prerequisites": "A built executable or test harness and access to real NPU hardware with msprof op for collection.",
+ "input_contract": "Operator executable/harness, collection settings and OPPROF output directory, plus the operator directory used to archive each measurement round.",
+ "produced_artifact": "Per-round raw CSV archives and observational min/average/max summaries, followed by a bottleneck interpretation and comparison of operator duration and core balance.",
+ "failure_modes": "Unwarmed or reduced-frequency runs distort timing; separately budgeting simultaneous GM reads/writes misses shared bandwidth, and tiny workloads can be dominated by launch overhead."
+ },
+ "recommendations": [
+ "Collect warmup and repeated measurements into a named round, preserve the raw CSVs, and distinguish the summary statistics from the subsequent bottleneck judgment.",
+ "Compare task duration, dominant pipeline ratios and per-core balance together; change one optimization point, rebuild as needed and archive the new round before deciding to keep it.",
+ "Check current versus rated frequency and shared read/write bandwidth before blaming the kernel; aggregate msprof ratios do not provide an instruction-by-instruction timeline."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json b/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json
index b9d8ca065..e8c6fb63f 100644
--- a/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json
@@ -21,5 +21,18 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Run a bounded, accuracy-gated tuning campaign for a single Ascend operator already identified as the bottleneck, escalating from code-level to scheduling and instruction-level changes.",
+ "prerequisites": "A measured operator baseline, an explicit numeric target and a logged on-device accuracy pass before tuning; performance comparisons use real hardware.",
+ "input_contract": "Operator implementation, fixed shape/dtype/card and warmup policy, accuracy result, per-core work/wait measurements and round logs.",
+ "produced_artifact": "A bounded campaign record of each change, accuracy and measured timing delta, kept/reverted rounds, current stage and documented stop condition.",
+ "refusal_point": "Do not start without the baseline and accuracy gate; revert accuracy failures, and stop/escalate repeated failures, timeouts, exhausted stages or the campaign budget.",
+ "failure_modes": "Scheduler-idle and predecessor-wait bottlenecks need different fixes; output inplace-reshape can corrupt slice writes, and a changed analyzer log format can produce a misleading zero-core report."
+ },
+ "recommendations": [
+ "Change one parameter and recheck accuracy each round; keep the failure record when reverting and compare the final configuration against the same baseline workload and warmup policy.",
+ "Route scheduler bubbles separately from predecessor dependencies and enter instruction-level tuning only after isolating a specific long task.",
+ "Verify the analyzer parsed real cores before trusting its diagnosis, and rederive PyPTO tile/buffer/scheduling settings for the target SoC rather than copying numeric examples."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json b/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json
index b060f084b..75e659d0c 100644
--- a/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json
@@ -19,5 +19,16 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Find source-derived prior cases for an already classified Ascend inference bottleneck, including fallback, memory traffic, exposed communication, graph startup and host scheduling gaps.",
+ "prerequisites": "A bottleneck classification from profiling and a check of the selected case preconditions/mechanism before applying it.",
+ "input_contract": "Bottleneck symptoms and matching profiler evidence, model/hardware/CANN/configuration context and, for a new case, measured before/after metrics.",
+ "produced_artifact": "A matching prior-art case and evidence requirements for a later measured application; a new case record requires a verified win or clear failure with a metric comparison.",
+ "refusal_point": "Do not add an INCONCLUSIVE case or one without a measured metric comparison; a subjective direction is insufficient evidence."
+ },
+ "recommendations": [
+ "Classify first, then check the matching case preconditions and use its owning procedure to apply and measure the candidate; the casebook itself does not perform profiling.",
+ "Keep profiler mechanism evidence and same-window end-to-end outcomes together, and retain locally_verified=false until the applied case has actually run."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/metadata.json b/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/metadata.json
index 560a96150..13ba90189 100644
--- a/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/metadata.json
@@ -52,5 +52,17 @@
"provenance_readsets": [
"references/cannbot-stage-evidence.md"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Interpret Ascend CANN profiling evidence from step breakdown through kernel/utilization/communication analysis, and assess execution/validator evidence in automated optimization-stage reports.",
+ "prerequisites": "Usable warm-state captures with representative steps, required files and non-null utilization columns; healthy cards and a consistent valid topology for multi-card comparisons.",
+ "input_contract": "CANN step/kernel/utilization/communication outputs with verified column semantics; for stage acceptance, the loaded candidate, baseline, quality-validator output and comparable measurements.",
+ "produced_artifact": "An evidence-qualified bottleneck classification and optimization direction; stage conclusions retain missing-execution/validator INCONCLUSIVE or observed gate-failure FAIL.",
+ "failure_modes": "Summing concurrent communication durations double-counts overlap; misidentified columns can drop communication, and a successful export can still lack usable utilization data."
+ },
+ "recommendations": [
+ "Start from the step-level computing/communication/overlap/free breakdown and stop deepening the analysis once the bottleneck is located; do not sum concurrent streams as wall time.",
+ "Inspect actual column headers and enum values on the installed CANN version, then verify files and non-null metrics before interpreting utilization heuristics.",
+ "Use same-window interleaved baseline/candidate measurements on shared machines; progress markers, hashes and source-derived thresholds do not substitute for quality and execution evidence."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/metadata.json b/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/metadata.json
index 36a513071..fa959015c 100644
--- a/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/metadata.json
@@ -3,7 +3,9 @@
"profile": "local-skill-v1",
"kind": "skill",
"status": "candidate",
- "origin": ["first-party"],
+ "origin": [
+ "first-party"
+ ],
"tags": [
"ascend",
"npu",
@@ -24,7 +26,10 @@
"applicability": {
"scope": "Ascend NPU video diffusion inference and serving optimization",
"hardware": "Ascend NPU; the measure-change-verify workflow skeleton is backend-agnostic and lives in methods/video-diffusion-optimization, while the operator, layout and profiler references here are Ascend-specific",
- "prerequisites": "A reproducible benchmark, a frozen quality check, and numeric gates defined in the governing acceptance issue"
+ "prerequisites": "A reproducible benchmark, a frozen quality check, and numeric gates defined in the governing acceptance issue",
+ "input_contract": "Issue-scoped performance and quality gates, timing boundary, representative and held-out workloads, frozen model/runtime/input settings and an authorized optimization budget.",
+ "produced_artifact": "An experiment ledger and final report of the frozen goal, baseline/final samples, quality/resource checks, accepted or reverted changes and remaining gap; verdicts require the acceptance issue evidence.",
+ "failure_modes": "Packed-layout conversion from noncontiguous weights can corrupt outputs; missing side-stream lifetime/order handling or omitted layout-copy costs can invalidate an optimization comparison."
},
"limitations": [
"Ascend specialization of the backend-agnostic methods/video-diffusion-optimization skeleton; every operator, layout and profiler reference (TransData, FRACTAL_NZ, CANN) is Ascend-specific and must be re-derived per backend.",
@@ -41,5 +46,10 @@
"../../../methods/video-diffusion-optimization/scripts/evaluate_target.py",
"../../../methods/video-diffusion-optimization/assets/campaign.template.json"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "recommendations": [
+ "Follow the common goal-contract and measure-change-verify loop, including final restarted-artifact acceptance; an operator win does not establish end-to-end improvement.",
+ "Materialize contiguous weights before FRACTAL_NZ conversion when strides differ from physical order, and attribute TransData/copy costs before proposing fusion.",
+ "Use field notes only to form hypotheses; derive thresholds, chunking, precision and sparsity from the target model measurements, and preserve stream dependencies and tensor lifetimes."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/metadata.json b/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/metadata.json
index 734086dd2..988348711 100644
--- a/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/metadata.json
@@ -21,5 +21,16 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Design or restructure AscendC tiling for the covered reduction, broadcast and elementwise classes, plus the bounded mxfp8 fusion and small-channel transpose cases.",
+ "input_contract": "Operator class and semantics, normalized shapes/axes, dtype, target chip generation, valid/aligned lengths and intermediate-buffer requirements.",
+ "produced_artifact": "A multi-core split, UB chunk formula, buffer-size/total-usage plan and branch matrix with edge tests; these are design outputs, not benchmark results.",
+ "failure_modes": "Budgeting only inputs omits intermediate UB storage; mixing valid and aligned lengths or copy units corrupts boundaries, and choosing unsupported generation-specific primitives invalidates the design."
+ },
+ "recommendations": [
+ "Normalize axes first, then decide full-load versus chunking from the entire live working set; derive tile size from buffer, axis, API and load-balance constraints.",
+ "Keep valid compute/copy lengths separate from aligned storage offsets and sizes, and complete dtype, tail/alignment and boundary branches before tuning.",
+ "Select primitives by the target generation and preserve class-specific coverage limits; re-evaluate sample constants and API semantics instead of treating formulas as tested performance evidence."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/metadata.json b/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/metadata.json
index 5eed776ca..8e36a12dc 100644
--- a/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/metadata.json
@@ -21,5 +21,18 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Attribute representative CANN trace kernels to source owners and plan bounded multistream overlap using data, state, event and collective-order dependencies.",
+ "prerequisites": "Pin the installed CANN/TorchNPU/TorchAir versions before choosing one execution-mode synchronization API family; communication proposals require communication evidence.",
+ "input_contract": "Representative-step selection and shapes, kernel/stream inventory with code_ref, adjacent wait windows and dependency edges; communication analysis also needs rank/transport evidence.",
+ "produced_artifact": "An attribution map, serial/candidate/pending dependency groups and a minimal overlap plan with joins, enable/fallback path, resource tradeoffs and acceptance checks.",
+ "failure_modes": "Kernel names and mechanical coverage can misidentify ownership; logical independence can hide resource contention, and overlap ratios or summed durations can hide unchanged wall time or new tails."
+ },
+ "recommendations": [
+ "Join hotspots to source owners and adjacent wait windows before selecting a target; keep compute cost, waiting and host gaps separate.",
+ "Build explicit data/state/event/collective-order edges, then verify one correct overlap point before increasing overlap or partitioning resources.",
+ "Require observed overlap, preserved state/order and fallback behavior plus latency and outside-module checks; report wall time, interval unions and duration sums separately.",
+ "Carry disputed formulas and source-revision distinctions forward; device free time alone does not identify Python, GIL or OS causes without matching host evidence."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/metadata.json b/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/metadata.json
index 9fc88432a..d1f4c947d 100644
--- a/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/metadata.json
@@ -21,5 +21,16 @@
"provenance_readsets": [
"references/source-notes.md"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Diagnose TorchNPU device-HBM reuse, stream lifetimes, fragmentation and graph/private-pool retention before proposing allocator changes.",
+ "input_contract": "Allocation failure/size sequence, device and allocator path, installed versions/settings, stream and graph-pool timeline, retained tensor references and allocator statistics with synchronization boundaries.",
+ "produced_artifact": "A suspected allocator state transition with source evidence IDs, one eligible action, resource cost, counter-signals and a correctness-first verification/rollback plan.",
+ "refusal_point": "Missing evidence supports only a conditional proposal, not a diagnosed leak; stop when external/custom/shared allocation ownership is untraced and keep baseline settings for unsupported versions or live-tensor capacity pressure."
+ },
+ "recommendations": [
+ "Separate stream lifetime protection from producer/consumer ordering, and distinguish live tensors, pending events, inactive splits and private-pool retention before tuning.",
+ "Match split or expandable-segment proposals to the observed allocation pattern and actual feature gates; do not combine incompatible controls or import comment thresholds as defaults.",
+ "Treat cache release as synchronization/allocation work at a quiescent boundary; compare identical allocation sequences in fresh processes at the same synchronization points."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/metadata.json b/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/metadata.json
index 18b00d69e..7450407c6 100644
--- a/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/metadata.json
@@ -21,5 +21,16 @@
"provenance_readsets": [
"references/source-notes.md"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Diagnose TorchNPU pinned-host RAM allocation, asynchronous-copy ownership/readiness, reuse and path-specific cache controls.",
+ "input_contract": "Installed versions/settings, host pressure and allocation/reuse distribution, stream timeline, owned versus registered/pageable buffers, selected host allocator path and host statistics/allocation timings.",
+ "produced_artifact": "An ownership classification, source evidence IDs, one eligible allocator proposal, benefit/resource cost and rollback criteria for a later fresh-process comparison.",
+ "refusal_point": "Keep baseline settings for live-buffer growth, pageable copies, stable reuse, unverified versions or unsupported paths; stop tuning on event/runtime errors and escalate external ownership or gate conflicts."
+ },
+ "recommendations": [
+ "Do not mutate an H2D source or read a D2H destination before completion; non_blocking=True alone proves neither overlap nor external-buffer lifetime tracking.",
+ "Interpret host allocated/active bytes using the selected host path, and test round/cache controls only in supported default-path fresh processes; a per-buffer cache threshold is not a total-cache cap.",
+ "Keep host and device allocator options separate and use an explicit quiescent boundary for host cache release; cache clearing is not a copy-completion barrier."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/metadata.json b/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/metadata.json
index 21436e632..a372310a2 100644
--- a/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/metadata.json
@@ -23,5 +23,16 @@
"references/papers-20261015/README.md",
"references/sources.md"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Diagnose attention-kernel bottlenecks after IO reduction, tile/pipeline regressions and precision or hardware-port assumptions.",
+ "input_contract": "Actual kernel/device revisions, attention shapes and semantics, operand/accumulator types, correctness/quality criteria, and existing traffic, resource, parallelism and stall observations.",
+ "produced_artifact": "A bottleneck diagnosis with confidence, one bounded candidate, resource exchange, counter-signal, missing evidence, source ID and next authorization gate.",
+ "refusal_point": "Return conditional hypotheses when observations are missing; reject or defer changes with wrong outputs/gradients, unsafe lifetimes/order, unsupported primitives, unacceptable accuracy or gains erased by omitted work."
+ },
+ "recommendations": [
+ "Preserve masks, dropout replay, online-softmax normalization and gradient obligations before comparing costs; exact algebra does not imply bitwise equality.",
+ "After fusion, reclassify the exposed limit using scalar work, independent output tiles and resource ceilings; larger tiles and deeper pipelines can reduce residency or spill.",
+ "Include precision preprocessing/conversion in the measurement boundary and check generated asynchronous scheduling; validate accelerator-specific primitives separately before a port."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/metadata.json b/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/metadata.json
index 33677a018..f2a7d642d 100644
--- a/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/metadata.json
@@ -19,5 +19,17 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Detect exposed host overhead and diagnose per-step host regressions in CUDA inference serving from existing nsys timelines.",
+ "prerequisites": "An existing serving nsys trace and Python with sqlite3; comparative root-cause analysis needs baseline and target traces, with nsys export available for report-format input.",
+ "input_contract": "One trace for detection/breakdown or two comparable traces for regression analysis, including the workload/phase context needed to isolate steady-state forward steps.",
+ "produced_artifact": "A detection verdict with metric/phase evidence, per-step NVTX/kernel/API breakdown and ranked host-operation deltas for a targeted optimization handoff.",
+ "failure_modes": "Warmup/loading or mismatched phase mixtures distort per-step comparisons; duplicated rank ranges, unresolved NVTX text IDs or overlapping rank end times can miscompute host gaps."
+ },
+ "recommendations": [
+ "Isolate comparable steady-state forward iterations and inspect context/generation separately; aggregate utilization can hide a phase-specific host bottleneck.",
+ "Confirm exposed preparation using both performance impact and idle attribution, retain communication as a confounder, and triage absolute NVTX time deltas before line-level optimization.",
+ "Resolve NVTX text IDs, account for TP rank duplication and use the maximum overlapping end time for gaps; do not compare full-trace totals as per-step overhead."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/metadata.json b/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/metadata.json
index fc6c105e2..024ad9144 100644
--- a/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/metadata.json
@@ -160,7 +160,10 @@
"CLC",
"two-SM MMA",
"native NVFP4/block-scaled tcgen05 MMA"
- ]
+ ],
+ "input_contract": "Device/compute capability, compiler target and selected implementation, kernel/library revisions, shapes/strides/alignment, numeric and grouping/epilogue semantics, correctness criterion and measurement boundary.",
+ "produced_artifact": "A source-qualified, reviewable hypothesis with one bounded change, resource/accuracy exchange, counter-signal, stop condition and next verification step.",
+ "failure_modes": "SM90 tags or import/dispatch guards can hide an unbuilt or unselected SM90a instruction path; extra stages or register caps can increase spills or lower residency."
},
"limitations": [
"Native compilation, GPU correctness, numerical accuracy, profiling, performance, model/service behavior and skill efficacy were not run.",
@@ -178,5 +181,10 @@
"../diagnose-attention-bottlenecks/SKILL.md",
"../../../methods/kernel-writing-guide/SKILL.md"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "recommendations": [
+ "For WGMMA advice, confirm the compiled and selected SM90a path; do not transplant Blackwell-only instruction or memory mechanisms.",
+ "Resolve producer/consumer ownership and completion before tuning stage depth; budget live accumulators, padded shared memory, scales and epilogue storage together.",
+ "For later validation, check tails, short K, stage wraparound and grouped offsets against the frozen reference, inspect actual PTX/SASS resources, and include setup/conversion/reduction costs."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/metadata.json b/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/metadata.json
index cc1764616..792eb68c7 100644
--- a/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/metadata.json
@@ -22,5 +22,18 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Audit Linux cgroup v2 CPU quota/shares, effective placement, memory pressure/protection and conditional block-device IO controls for serving or training workloads.",
+ "prerequisites": "Identify workload cgroup membership, kernel/controller support, ancestor limits and the authorized file owner; prepare previous values and stop conditions before a separately authorized trial.",
+ "input_contract": "Target PID and hierarchy/namespace view, requested/effective cpusets, time-aligned CPU/memory/IO counters and application/sibling observations; IO proposals require resolved block-backed traffic.",
+ "produced_artifact": "An evidence-qualified control review/proposal with capacity tradeoff, configuration provenance, rollback manifest and matched-window application/sibling checks.",
+ "failure_modes": "Ancestor constraints can invalidate requested placement; pressure movement alone is not application causality, and unsupported IO accounting or shared-inode attribution can misassign traffic."
+ },
+ "recommendations": [
+ "Separate own-quota throttling, ancestor limits and sibling contention before choosing a cpu.max or cpu.weight review.",
+ "Compare requested with effective CPU/node sets and budget cpuset.mems migration before proposing placement; align memory PSI with local versus descendant event deltas.",
+ "Treat increased headroom as a shared-capacity spend and verify application outcomes and sibling impact, not just counter improvements.",
+ "Resolve actual block-backed traffic and supported IO controls before proposing caps; preserve inaccessible-ancestor uncertainty and do not infer container write authority."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json b/src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json
index e0f888f71..299878606 100644
--- a/src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json
@@ -96,5 +96,16 @@
"references/cpython-PSF-LICENSE.md",
"references/legacy-source-notes.md"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Audit host preparation, pinned-host pressure and asynchronous CUDA-copy ownership/order/lifetime, with separately scoped routing for Ascend descriptor retention, Python preprocessing and NUMA placement.",
+ "input_contract": "Host buffer ownership and alias/mutation behavior, copy direction/dtype/layout, producer/consumer streams, live/in-flight/cache budget and the actual interpreter/placement context.",
+ "produced_artifact": "An ownership and dependency audit with bounded transfer candidates and a correctness-first validation plan separating enqueue, pinning, transfer, model and end-to-end cost.",
+ "failure_modes": "A stream wait does not prevent CPU mutation and record_stream does not create a data dependency; cached host storage may outlive Python scope, and the eager reusable-slot example is not capture-safe."
+ },
+ "recommendations": [
+ "Track copy-before-consumer order, CPU payload reuse and device storage lifetime as three independent obligations; wait for D2H completion before CPU reads.",
+ "Compare pageable, per-request pinning and bounded reuse on the real workload while budgeting all live and in-flight slots, cache and preprocessing memory.",
+ "Keep the eager staging-slot preconditions explicit and validate ordering/lifetime under stress before performance; a small passing sample does not establish a hazardous pattern is safe."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json b/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json
index 5196577ba..d21287f3a 100644
--- a/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json
@@ -19,5 +19,17 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Use line-level profiling to reduce exposed Python request-preparation, scheduling and execution-coordination overhead in a bounded serving optimization loop.",
+ "prerequisites": "Confirm host overhead is the limiting factor with the detection procedure before tuning; choose a representative workload and consistent CPU affinity for comparisons.",
+ "input_contract": "Detection/NVTX triage, qualified target function paths and line-profiler output, workload/affinity settings, related correctness tests and serving benchmark metrics.",
+ "produced_artifact": "Per-round hotspot/change/rollback and correctness records plus a final before/after benchmark report, failed attempts, remaining hotspots and scoped follow-up recommendations.",
+ "failure_modes": "Optimizing the default preparation function can miss a different regressing owner; caching/hoisting/preallocation can violate lifetime or invalidation, and a line-level speedup can leave serving throughput unchanged."
+ },
+ "recommendations": [
+ "Profile the actual top regressing function by absolute exposed time, drilling into dominant unprofiled subcalls instead of assuming _prepare_tp_inputs is the owner.",
+ "Prefer one small evidence-supported change with explicit ownership/lifetime/invalidation checks, run relevant correctness tests and revert failed or regressing candidates.",
+ "Re-profile identical workloads after each accepted change and compare hotspot time, total function time and serving metrics; reassess the next bottleneck and stay within the authorized budget."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json b/src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json
index 00129b420..1cd78a334 100644
--- a/src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json
@@ -42,5 +42,17 @@
"provenance_readsets": [
"references/llama-numa-thread-readset.md"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Prepare and record CPU/NUMA process placement, phase-specific thread settings, device contention and environment prerequisites before shared-host performance measurements.",
+ "prerequisites": "No outstanding hard environment errors: required devices/driver, planned device count and any container prerequisites must be present before running.",
+ "input_contract": "Current affinity/NUMA policy, accelerator locality, workload phase/thread controls, device occupancy, runtime environment and relevant container/resource limits.",
+ "produced_artifact": "A recorded placement/thread/environment configuration and preflight outcome, with errors requiring remediation and warnings retained for the measurement campaign.",
+ "failure_modes": "Changing affinity or thread settings between rounds confounds timing; combining independent affinity mechanisms is order-sensitive, and small driver memory usage can be mistaken for device occupation."
+ },
+ "recommendations": [
+ "Inspect affinity and NUMA policy before placement and hold them constant across comparisons; document and requalify a round when placement changes.",
+ "Choose one affinity-mask authority and distinguish generation, batch and frontend thread controls; source template thread counts are starting points rather than tuned constants.",
+ "Record device occupancy and structured ERROR/WARNING results before measuring, using the official environment setup for derived CANN paths."
+ ]
}
diff --git a/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json b/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json
index 932d16ce7..899caaed8 100644
--- a/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json
+++ b/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json
@@ -21,5 +21,18 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Measure and attribute storage traffic for model loading or serving while separating device/process observations from application outcomes and cache/startup effects.",
+ "prerequisites": "Resolve backing devices and participating worker PIDs first; active fio benchmarks or cache manipulation require separate authorization, with bounded observation during already-authorized runs.",
+ "input_contract": "Observed loader access pattern, tool/OS/filesystem versions, file-to-device mapping, worker PIDs, phase timestamps, cache-state method and raw IO/job/application measurements.",
+ "produced_artifact": "A workload- and cache-qualified IO evidence record with units, achieved depth, errors/bytes/completion and device/process attribution, plus a separately measured application outcome where benefit is claimed.",
+ "refusal_point": "Reject unspecified or copied-example benchmark workloads; do not name a storage bottleneck from util/iowait alone or infer application gain from synthetic bandwidth."
+ },
+ "recommendations": [
+ "Match the fio read pattern to the observed loader and verify achieved rather than requested depth; more queued work can increase latency.",
+ "Record warm/cold/unknown cache state and its method, separate startup from repeated/steady reads, and check completed bytes for truncated runs.",
+ "Align per-device and per-process observations with the application phase, retain units and latency provenance, and corroborate saturation using traffic, queues and process activity.",
+ "Only run a separately authorized bounded read-only job against an explicit existing regular file, then remeasure the real application before accepting a benefit."
+ ]
}
From 7746aea56298fa2f9df21f92b1a830b8eb8ea4ba Mon Sep 17 00:00:00 2001
From: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Date: Sat, 31 Oct 2026 11:46:24 +0800
Subject: [PATCH 2/6] docs: regenerate skill projections from published source
history
Keep the canonical source snapshot reachable as a preceding commit.
Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
---
docs/skill-coverage.md | 48 +++++++++----------
.../repo_packs/inferrsi/knowledge/README.md | 4 +-
.../ascend-aclgraph-capture-replay.json | 33 ++++++++++---
.../ascend/skills/ascend-device-health.json | 33 ++++++++++---
.../skills/ascend-distributed-parallel.json | 31 +++++++++---
.../ascend/skills/ascend-graph-mode.json | 31 +++++++++---
.../skills/ascend-model-adaptation.json | 33 ++++++++++---
.../skills/ascend-operator-profiling.json | 33 ++++++++++---
.../ascend/skills/ascend-operator-tuning.json | 35 +++++++++++---
.../skills/ascend-optimization-casebook.json | 31 +++++++++---
.../skills/ascend-performance-analysis.json | 33 ++++++++++---
.../ascend-video-diffusion-optimization.json | 28 +++++++----
.../ascend/skills/ascendc-tiling-design.json | 31 +++++++++---
.../skills/cann-attribution-overlap.json | 35 +++++++++++---
.../torchnpu-device-memory-lifecycle.json | 31 +++++++++---
...torchnpu-pinned-host-memory-lifecycle.json | 31 +++++++++---
.../skills/assess-serving-preemption.json | 4 +-
.../assess-split-backward-schedule.json | 4 +-
.../skills/audit-fixed-workload-claim.json | 4 +-
.../audit-h3-metal-fasth3-semantics.json | 4 +-
.../skills/audit-h3-runtime-residency.json | 4 +-
.../skills/audit-llama-runtime-state.json | 4 +-
.../audit-recurrent-kv-finalization.json | 4 +-
.../common/skills/audit-sd-cpp-residency.json | 4 +-
.../audit-sglang-diffusion-lifetimes.json | 4 +-
.../skills/audit-vllm-kv-lifetimes.json | 4 +-
.../bound-windowed-attention-replay.json | 4 +-
.../budget-speculative-verification.json | 4 +-
.../skills/calibrate-serving-simulation.json | 4 +-
.../skills/cgroup-resource-controls.json | 35 +++++++++++---
.../checkpoint-recovery-consistency.json | 4 +-
.../skills/choose-parallel-training-plan.json | 4 +-
.../skills/cite-check-downstream-pr.json | 4 +-
.../common/skills/claim-contract.json | 4 +-
.../knowledge/common/skills/comfy-ui.json | 4 +-
.../common/skills/competitor-scan.json | 4 +-
.../skills/dcp-async-save-performance.json | 4 +-
.../skills/dense-performance-evidence.json | 4 +-
.../diagnose-vllm-admission-pressure.json | 4 +-
.../skills/diffusers-invocation-state.json | 4 +-
.../common/skills/draft-acceptance-issue.json | 4 +-
.../knowledge/common/skills/dwarfstar.json | 4 +-
.../evaluate-elastic-serving-placement.json | 4 +-
.../skills/generation-cache-lifecycle.json | 4 +-
.../common/skills/host-memory-management.json | 31 +++++++++---
.../skills/host-overhead-optimization.json | 33 ++++++++++---
.../knowledge/common/skills/husky.json | 4 +-
.../skills/inference-benchmark-design.json | 4 +-
.../inference-optimization-casebook.json | 4 +-
.../common/skills/kernel-writing-guide.json | 4 +-
.../common/skills/kv-tier-management.json | 4 +-
.../lazy-evaluation-stream-lifetimes.json | 4 +-
.../knowledge/common/skills/lily.json | 4 +-
.../knowledge/common/skills/lithos-metal.json | 4 +-
.../knowledge/common/skills/local-dream.json | 4 +-
.../knowledge/common/skills/mistral-rs.json | 4 +-
.../knowledge/common/skills/mlc-llm.json | 4 +-
.../knowledge/common/skills/mlx-swift-lm.json | 4 +-
.../common/skills/npu-skill-factory.json | 4 +-
.../skills/optimization-search-policy.json | 4 +-
.../common/skills/os-process-placement.json | 33 ++++++++++---
.../skills/performance-ceiling-analysis.json | 4 +-
.../skills/plan-activation-residency.json | 4 +-
.../knowledge/common/skills/project-maya.json | 4 +-
.../skills/repository-evolution-analysis.json | 4 +-
.../knowledge/common/skills/rsi-evidence.json | 4 +-
.../skills/skill-evolution-playbook.json | 4 +-
.../knowledge/common/skills/splash.json | 4 +-
.../common/skills/storage-io-measurement.json | 35 +++++++++++---
.../skills/training-input-pipeline.json | 4 +-
.../skills/training-resource-budget.json | 4 +-
.../skills/video-diffusion-optimization.json | 4 +-
.../knowledge/common/skills/vllm-metal.json | 4 +-
.../skills/weight-loading-optimization.json | 4 +-
.../cuda/skills/audit-afd-p2p-exchanges.json | 4 +-
.../skills/audit-flare-session-lifecycle.json | 4 +-
.../diagnose-attention-bottlenecks.json | 31 +++++++++---
.../cuda/skills/host-overhead-profiling.json | 33 ++++++++++---
.../cuda/skills/reason-hopper-kernels.json | 28 +++++++----
79 files changed, 690 insertions(+), 290 deletions(-)
diff --git a/docs/skill-coverage.md b/docs/skill-coverage.md
index 0fbd111e4..8edd60c33 100644
--- a/docs/skill-coverage.md
+++ b/docs/skill-coverage.md
@@ -4,7 +4,7 @@ Generated from the registry, the skill sidecars and the two maintained
matrices. **Do not edit by hand**; regenerate after any registry, skill,
matrix or frozen-plan change.
-- Input digest: `sha256:b6f5cec72e5e52fcc4113bf50c68612417688b40c54cc79cbd24a611db574f3c`
+- Input digest: `sha256:9dcc69fe814dfbe806db873899e428e7073eefdb955ef2ee7c8cd39945ea2562`
- Regenerate: `python tools/build_skill_coverage.py`
- Verify without writing: `python tools/build_skill_coverage.py --check`
@@ -52,28 +52,28 @@ optimization is fully covered or that any procedure has measured benefit.
| Skill | Backend | Declared task | Applicability | Conditions | SearchSpace layer / stage | Reference Matrix | State | Gaps |
|---|---|---|---|---|---|---|---|---|
-| [ascend-aclgraph-capture-replay](../src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md) | ascend | Diagnose vLLM-Ascend ACLGraph capture/replay eligibility, stable-input and ordering contracts, and capture-resource ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (vllm-project/vllm-ascend @ `8a8e1e05ecb64a30804c99c8f362909f9a0cb5bf` ...) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [ascend-device-health](../src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md) | ascend | Pre-run health checks and recovery procedures for Ascend NPU devices on shared machines: card-group topology ... | **unknown** | — | 4 Network · Diagnose
5 OS · Observe / Profile / Diagnose / Configure / Verify | 1 · Systems sources (Ascend/MindIE-SD @ 8481d39) | candidate · not_run · 0 readset(s) | no-applicability, no-eval |
-| [ascend-distributed-parallel](../src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md) | ascend | Select and validate distributed parallelism strategy on Ascend NPU: topology-aware card-group selection, USP/CP/TP/PP ... | **unknown** | — | 1 Accelerator · Configure
4 Network · Diagnose / Configure / Optimize / Verify / Observe | 1 · Systems sources (Ascend/MindIE-SD @ 8481d39)
1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c)
1 · Systems sources (cann/hccl @ `96fab0a2acb761e7f8ab0f94aeb5138f200a345b` (CANN Open ...) | candidate · not_run · 3 readset(s) | no-applicability, no-eval |
-| [ascend-graph-mode](../src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md) | ascend | Diagnose an Ascend TorchAir ACL graph path from versioned configuration through FX compilation, capture-key selection ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Verify
3 SSD · Diagnose | 1 · Systems sources (Ascend/torchair @ `e1118e8b0fc1b95190ab53b732c0872989550e20` ...)
1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c) | candidate · not_run · 3 readset(s) | no-applicability, no-eval |
-| [ascend-model-adaptation](../src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md) | ascend | Patterns for porting LLM/VLM model adapters to Ascend NPU: FP8 checkpoint handling, KV replication with TP, multimodal ... | **unknown** | — | 1 Accelerator · Configure
3 SSD · Diagnose / Configure | 1 · Systems sources (vllm-project/vllm-ascend @ bc8115ed) | candidate · not_run · 0 readset(s) | no-applicability, no-eval |
-| [ascend-operator-profiling](../src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md) | ascend | Benchmark a single Ascend NPU operator using msprof op: build, collect with warmup, read the 8 CSV metrics files ... | **unknown** | — | 1 Accelerator · Observe / Profile
5 OS · Observe / Profile | 1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c) | candidate · not_run · 0 readset(s) | no-applicability, no-eval |
-| [ascend-operator-tuning](../src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md) | ascend | Run a staged, accuracy-gated tuning campaign on a single Ascend NPU operator: set a numeric target up front, block ... | **unknown** | — | 1 Accelerator · Optimize | 1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c) | candidate · not_run · 0 readset(s) | no-applicability, no-eval |
-| [ascend-optimization-casebook](../src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md) | ascend | Casebook of NPU optimization cases for Ascend inference systems: symptom → diagnosis → action → evidence records for ... | **unknown** | — | 1 Accelerator · Optimize / Verify | 1 · Systems sources (Ascend/MindIE-SD @ 8481d39) | candidate · not_run · 0 readset(s) | no-applicability, no-eval |
-| [ascend-performance-analysis](../src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md) | ascend | Diagnose performance bottlenecks on Ascend NPU systems using CANN profiling data. Maps GPU profiling concepts (nsys ... | **unknown** | — | 1 Accelerator · Observe / Profile / Diagnose / Verify
4 Network · Observe / Profile / Diagnose / Verify
5 OS · Diagnose | 1 · Systems sources (Ascend/MindIE-SD @ 8481d39)
1 · Systems sources (cann/cannbot @ `c0e2ad23ee1a73e3c0f84c8df1cc459e2aae3110` (selected ...) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [ascend-video-diffusion-optimization](../src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md) | ascend | Run and verify goal-driven Ascend video diffusion optimization. Specializes the backend-agnostic ... | Ascend NPU video diffusion inference and serving optimization | — | — | — | candidate · not_run · 1 readset(s) | no-SearchSpace-layer, no-Reference-Matrix-row, no-eval |
-| [ascendc-tiling-design](../src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md) | ascend | Design tiling for a custom AscendC operator: normalize the shape first (axis-collapse or flatten), answer the ... | **unknown** | — | 1 Accelerator · Optimize | 1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c) | candidate · not_run · 0 readset(s) | no-applicability, no-eval |
-| [cann-attribution-overlap](../src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md) | ascend | Attribute NPU trace kernels to model source and plan bounded multistream overlap: select a representative step, map ... | **unknown** | — | 1 Accelerator · Observe / Profile / Diagnose / Optimize / Verify
4 Network · Diagnose / Optimize / Verify | 1 · Systems sources (cann/oam-tools @ `8440935f` (!302 import; later master `f3cf4115` ...) | candidate · not_run · 0 readset(s) | no-applicability, no-eval |
-| [cgroup-resource-controls](../src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md) | common | Diagnose and configure cgroup v2 resource controls for serving/training workloads: distinguish quota stalls from ... | **unknown** | — | 2 RAM/Host · Observe / Profile / Configure / Verify
5 OS · Observe / Profile / Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Linux cgroup v2 docs — kernel.org live 2026-10-15 (revision ...) | candidate · not_run · 0 readset(s) | no-applicability, no-eval |
-| [diagnose-attention-bottlenecks](../src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md) | cuda | Diagnose the next attention-kernel bottleneck after IO reduction using evidence about HBM traffic, work ownership ... | **unknown** | — | 1 Accelerator · Diagnose / Optimize / Verify | 1 · Systems sources (FlashAttention — [2205.14135v2](https://arxiv.org/abs/2205.14135v2)) | candidate · not_run · 9 readset(s) | no-applicability, no-eval |
-| [host-memory-management](../src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md) | common | Audit pinned host buffers and asynchronous CUDA transfers: distinguish copy ordering, host mutation/reuse and device ... | **unknown** | — | 2 RAM/Host · Configure / Verify | 1 · Systems sources (python/cpython @ `60403a5409ff2c3f3b07dd2ca91a7a3e096839c7` (v3.13.0 ...)
1 · Systems sources (pytorch/pytorch @ `ba56102387ef21a3b04b357e5b183d48f0afefc7` (v2.8.0 ...)
1 · Systems sources (vllm-project/vllm-ascend @ `8a8e1e05ecb64a30804c99c8f362909f9a0cb5bf` ...) | candidate · not_run · 4 readset(s) | no-applicability, no-eval |
-| [host-overhead-optimization](../src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md) | common | Profile and reduce CPU/host overhead in inference serving using line_profiler. Iterative ... | **unknown** | — | 2 RAM/Host · Optimize / Diagnose / Verify | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd) | candidate · not_run · 0 readset(s) | no-applicability, no-eval |
-| [host-overhead-profiling](../src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md) | cuda | Detect and diagnose CPU/host overhead in inference serving from nsys traces. Answers: is host overhead the bottleneck? ... | **unknown** | — | 2 RAM/Host · Observe / Profile / Diagnose | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd) | candidate · not_run · 0 readset(s) | no-applicability, no-eval |
-| [os-process-placement](../src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md) | common | Place and configure inference/training processes at the OS level before measuring or optimizing: check then pin CPU ... | **unknown** | — | 5 OS · Optimize | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c)
1 · Systems sources (ggml-org/llama.cpp @ `3e390af18de1131dda27913c00511725b4274c8a` (MIT ...)
1 · Systems sources (vllm-project/vllm-ascend @ bc8115ed) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [reason-hopper-kernels](../src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md) | cuda | Reason about Hopper SM90 CUDA GEMM kernels using TMA and mbarrier lifetimes, WGMMA warpgroup participation, register ... | Source-derived Hopper SM90/SM90a kernel reasoning for TMA/mbarrier, WGMMA ... | architectures, excluded_mechanisms | 1 Accelerator † guidance: Hopper kernel reasoning (source-derived) | 1 · Systems sources (NVlabs/kda @ `acdd79343c5e9d0c7cb96289f26fd3f1051ce785` → ...) | candidate · not_run · 3 readset(s) | no-eval |
-| [storage-io-measurement](../src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md) | common | Measure storage I/O for LLM/diffusion serving without conflating device metrics with application outcomes: match the ... | **unknown** | — | 3 SSD · Observe / Profile / Diagnose / Verify | 1 · Systems sources (axboe/fio @ acb7a302)
1 · Systems sources (sysstat/sysstat @ efd0c445) | candidate · not_run · 0 readset(s) | no-applicability, no-eval |
-| [torchnpu-device-memory-lifecycle](../src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md) | ascend | Diagnose TorchNPU device-HBM reuse, cross-stream lifetimes, cache retention and fragmentation, then propose ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Ascend/pytorch (TorchNPU) @ `67511c53cd4c88014f6123de7097677e60e85faa` ...) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [torchnpu-pinned-host-memory-lifecycle](../src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md) | ascend | Diagnose TorchNPU pinned-host RAM allocation, asynchronous-copy lifetime, reuse and cache controls, then propose ... | **unknown** | — | 2 RAM/Host · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Ascend/pytorch (TorchNPU) @ `67511c53cd4c88014f6123de7097677e60e85faa` ...) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
+| [ascend-aclgraph-capture-replay](../src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md) | ascend | Diagnose vLLM-Ascend ACLGraph capture/replay eligibility, stable-input and ordering contracts, and capture-resource ... | Diagnose vLLM-Ascend ACLGraph eligibility, capture/replay dispatch, caller-buffer ... | input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (vllm-project/vllm-ascend @ `8a8e1e05ecb64a30804c99c8f362909f9a0cb5bf` ...) | candidate · not_run · 1 readset(s) | no-eval |
+| [ascend-device-health](../src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md) | ascend | Pre-run health checks and recovery procedures for Ascend NPU devices on shared machines: card-group topology ... | Pre-run Ascend device-health, topology, occupancy and timing checks before a trusted ... | failure_modes, input_contract, produced_artifact
3 advice | 4 Network · Diagnose
5 OS · Observe / Profile / Diagnose / Configure / Verify | 1 · Systems sources (Ascend/MindIE-SD @ 8481d39) | candidate · not_run · 0 readset(s) | no-eval |
+| [ascend-distributed-parallel](../src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md) | ascend | Select and validate distributed parallelism strategy on Ascend NPU: topology-aware card-group selection, USP/CP/TP/PP ... | Select and diagnose Ascend parallel strategies and their activation/overlap, with a ... | failure_modes, input_contract, produced_artifact
4 advice | 1 Accelerator · Configure
4 Network · Diagnose / Configure / Optimize / Verify / Observe | 1 · Systems sources (Ascend/MindIE-SD @ 8481d39)
1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c)
1 · Systems sources (cann/hccl @ `96fab0a2acb761e7f8ab0f94aeb5138f200a345b` (CANN Open ...) | candidate · not_run · 3 readset(s) | no-eval |
+| [ascend-graph-mode](../src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md) | ascend | Diagnose an Ascend TorchAir ACL graph path from versioned configuration through FX compilation, capture-key selection ... | Diagnose the TorchAir Python ACL graph path from configuration and FX compilation through ... | failure_modes, input_contract, produced_artifact
3 advice | 1 Accelerator · Diagnose / Configure / Verify
3 SSD · Diagnose | 1 · Systems sources (Ascend/torchair @ `e1118e8b0fc1b95190ab53b732c0872989550e20` ...)
1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c) | candidate · not_run · 3 readset(s) | no-eval |
+| [ascend-model-adaptation](../src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md) | ascend | Patterns for porting LLM/VLM model adapters to Ascend NPU: FP8 checkpoint handling, KV replication with TP, multimodal ... | Checkpoint onboarding for LLM/VLM adapters on Ascend: weight/scale loading, KV-head ... | failure_modes, input_contract, produced_artifact
3 advice | 1 Accelerator · Configure
3 SSD · Diagnose / Configure | 1 · Systems sources (vllm-project/vllm-ascend @ bc8115ed) | candidate · not_run · 0 readset(s) | no-eval |
+| [ascend-operator-profiling](../src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md) | ascend | Benchmark a single Ascend NPU operator using msprof op: build, collect with warmup, read the 8 CSV metrics files ... | Build, measure and diagnose one Ascend operator in isolation using msprof op, before ... | failure_modes, input_contract, produced_artifact
3 advice | 1 Accelerator · Observe / Profile
5 OS · Observe / Profile | 1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c) | candidate · not_run · 0 readset(s) | no-eval |
+| [ascend-operator-tuning](../src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md) | ascend | Run a staged, accuracy-gated tuning campaign on a single Ascend NPU operator: set a numeric target up front, block ... | Run a bounded, accuracy-gated tuning campaign for a single Ascend operator already ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Optimize | 1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c) | candidate · not_run · 0 readset(s) | no-eval |
+| [ascend-optimization-casebook](../src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md) | ascend | Casebook of NPU optimization cases for Ascend inference systems: symptom → diagnosis → action → evidence records for ... | Find source-derived prior cases for an already classified Ascend inference bottleneck ... | input_contract, produced_artifact, refusal_point
2 advice | 1 Accelerator · Optimize / Verify | 1 · Systems sources (Ascend/MindIE-SD @ 8481d39) | candidate · not_run · 0 readset(s) | no-eval |
+| [ascend-performance-analysis](../src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md) | ascend | Diagnose performance bottlenecks on Ascend NPU systems using CANN profiling data. Maps GPU profiling concepts (nsys ... | Interpret Ascend CANN profiling evidence from step breakdown through ... | failure_modes, input_contract, produced_artifact
3 advice | 1 Accelerator · Observe / Profile / Diagnose / Verify
4 Network · Observe / Profile / Diagnose / Verify
5 OS · Diagnose | 1 · Systems sources (Ascend/MindIE-SD @ 8481d39)
1 · Systems sources (cann/cannbot @ `c0e2ad23ee1a73e3c0f84c8df1cc459e2aae3110` (selected ...) | candidate · not_run · 1 readset(s) | no-eval |
+| [ascend-video-diffusion-optimization](../src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md) | ascend | Run and verify goal-driven Ascend video diffusion optimization. Specializes the backend-agnostic ... | Ascend NPU video diffusion inference and serving optimization | failure_modes, input_contract, produced_artifact
3 advice | — | — | candidate · not_run · 1 readset(s) | no-SearchSpace-layer, no-Reference-Matrix-row, no-eval |
+| [ascendc-tiling-design](../src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md) | ascend | Design tiling for a custom AscendC operator: normalize the shape first (axis-collapse or flatten), answer the ... | Design or restructure AscendC tiling for the covered reduction, broadcast and elementwise ... | failure_modes, input_contract, produced_artifact
3 advice | 1 Accelerator · Optimize | 1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c) | candidate · not_run · 0 readset(s) | no-eval |
+| [cann-attribution-overlap](../src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md) | ascend | Attribute NPU trace kernels to model source and plan bounded multistream overlap: select a representative step, map ... | Attribute representative CANN trace kernels to source owners and plan bounded multistream ... | failure_modes, input_contract, produced_artifact
4 advice | 1 Accelerator · Observe / Profile / Diagnose / Optimize / Verify
4 Network · Diagnose / Optimize / Verify | 1 · Systems sources (cann/oam-tools @ `8440935f` (!302 import; later master `f3cf4115` ...) | candidate · not_run · 0 readset(s) | no-eval |
+| [cgroup-resource-controls](../src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md) | common | Diagnose and configure cgroup v2 resource controls for serving/training workloads: distinguish quota stalls from ... | Audit Linux cgroup v2 CPU quota/shares, effective placement, memory pressure/protection ... | failure_modes, input_contract, produced_artifact
4 advice | 2 RAM/Host · Observe / Profile / Configure / Verify
5 OS · Observe / Profile / Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Linux cgroup v2 docs — kernel.org live 2026-10-15 (revision ...) | candidate · not_run · 0 readset(s) | no-eval |
+| [diagnose-attention-bottlenecks](../src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md) | cuda | Diagnose the next attention-kernel bottleneck after IO reduction using evidence about HBM traffic, work ownership ... | Diagnose attention-kernel bottlenecks after IO reduction, tile/pipeline regressions and ... | input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Optimize / Verify | 1 · Systems sources (FlashAttention — [2205.14135v2](https://arxiv.org/abs/2205.14135v2)) | candidate · not_run · 9 readset(s) | no-eval |
+| [host-memory-management](../src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md) | common | Audit pinned host buffers and asynchronous CUDA transfers: distinguish copy ordering, host mutation/reuse and device ... | Audit host preparation, pinned-host pressure and asynchronous CUDA-copy ... | failure_modes, input_contract, produced_artifact
3 advice | 2 RAM/Host · Configure / Verify | 1 · Systems sources (python/cpython @ `60403a5409ff2c3f3b07dd2ca91a7a3e096839c7` (v3.13.0 ...)
1 · Systems sources (pytorch/pytorch @ `ba56102387ef21a3b04b357e5b183d48f0afefc7` (v2.8.0 ...)
1 · Systems sources (vllm-project/vllm-ascend @ `8a8e1e05ecb64a30804c99c8f362909f9a0cb5bf` ...) | candidate · not_run · 4 readset(s) | no-eval |
+| [host-overhead-optimization](../src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md) | common | Profile and reduce CPU/host overhead in inference serving using line_profiler. Iterative ... | Use line-level profiling to reduce exposed Python request-preparation, scheduling and ... | failure_modes, input_contract, produced_artifact
3 advice | 2 RAM/Host · Optimize / Diagnose / Verify | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd) | candidate · not_run · 0 readset(s) | no-eval |
+| [host-overhead-profiling](../src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md) | cuda | Detect and diagnose CPU/host overhead in inference serving from nsys traces. Answers: is host overhead the bottleneck? ... | Detect exposed host overhead and diagnose per-step host regressions in CUDA inference ... | failure_modes, input_contract, produced_artifact
3 advice | 2 RAM/Host · Observe / Profile / Diagnose | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd) | candidate · not_run · 0 readset(s) | no-eval |
+| [os-process-placement](../src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md) | common | Place and configure inference/training processes at the OS level before measuring or optimizing: check then pin CPU ... | Prepare and record CPU/NUMA process placement, phase-specific thread settings, device ... | failure_modes, input_contract, produced_artifact
3 advice | 5 OS · Optimize | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c)
1 · Systems sources (ggml-org/llama.cpp @ `3e390af18de1131dda27913c00511725b4274c8a` (MIT ...)
1 · Systems sources (vllm-project/vllm-ascend @ bc8115ed) | candidate · not_run · 1 readset(s) | no-eval |
+| [reason-hopper-kernels](../src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md) | cuda | Reason about Hopper SM90 CUDA GEMM kernels using TMA and mbarrier lifetimes, WGMMA warpgroup participation, register ... | Source-derived Hopper SM90/SM90a kernel reasoning for TMA/mbarrier, WGMMA ... | architectures, excluded_mechanisms, failure_modes, input_contract, produced_artifact
3 advice | 1 Accelerator † guidance: Hopper kernel reasoning (source-derived) | 1 · Systems sources (NVlabs/kda @ `acdd79343c5e9d0c7cb96289f26fd3f1051ce785` → ...) | candidate · not_run · 3 readset(s) | no-eval |
+| [storage-io-measurement](../src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md) | common | Measure storage I/O for LLM/diffusion serving without conflating device metrics with application outcomes: match the ... | Measure and attribute storage traffic for model loading or serving while separating ... | input_contract, produced_artifact, refusal_point
4 advice | 3 SSD · Observe / Profile / Diagnose / Verify | 1 · Systems sources (axboe/fio @ acb7a302)
1 · Systems sources (sysstat/sysstat @ efd0c445) | candidate · not_run · 0 readset(s) | no-eval |
+| [torchnpu-device-memory-lifecycle](../src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md) | ascend | Diagnose TorchNPU device-HBM reuse, cross-stream lifetimes, cache retention and fragmentation, then propose ... | Diagnose TorchNPU device-HBM reuse, stream lifetimes, fragmentation and ... | input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Ascend/pytorch (TorchNPU) @ `67511c53cd4c88014f6123de7097677e60e85faa` ...) | candidate · not_run · 1 readset(s) | no-eval |
+| [torchnpu-pinned-host-memory-lifecycle](../src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md) | ascend | Diagnose TorchNPU pinned-host RAM allocation, asynchronous-copy lifetime, reuse and cache controls, then propose ... | Diagnose TorchNPU pinned-host RAM allocation, asynchronous-copy ownership/readiness ... | input_contract, produced_artifact, refusal_point
3 advice | 2 RAM/Host · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Ascend/pytorch (TorchNPU) @ `67511c53cd4c88014f6123de7097677e60e85faa` ...) | candidate · not_run · 1 readset(s) | no-eval |
## Registered: Frameworks (3)
@@ -221,7 +221,7 @@ an entrypoint routes to procedures below it rather than adding one.
| `no-SearchSpace-layer` | 15: ascend-video-diffusion-optimization, audit-fixed-workload-claim, audit-recurrent-kv-finalization, cite-check-downstream-pr, competitor-scan, draft-acceptance-issue, dwarfstar, husky, inference-benchmark-design, lily, npu-skill-factory, repository-evolution-analysis, skill-evolution-playbook, splash, video-diffusion-optimization |
| `no-Reference-Matrix-row` | 8: ascend-video-diffusion-optimization, audit-fixed-workload-claim, cite-check-downstream-pr, claim-contract, competitor-scan, draft-acceptance-issue, rsi-evidence, video-diffusion-optimization |
| `no-sidecar` | 0: — |
-| `no-applicability` | 41: as listed in the Gaps column above |
+| `no-applicability` | 21: as listed in the Gaps column above |
| `no-eval` | 75: as listed in the Gaps column above |
These are inventory gaps, not defects. A workflow skill may legitimately
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
index e2b0617d4..506f82393 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
@@ -15,7 +15,7 @@ These are knowledge abstracts (`--kind knowledge`), with namespaced package
IDs distinct from explicitly selected `checkout_ref` skills. Ascend/CUDA
procedures use their corresponding backend; shared methods use `common`.
-Source snapshot: [bde70d82bb65cc2e5dcd0f9d33cda5d38091120b](https://github.com/InferMatrixLab/InferRSI/tree/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library).
+Source snapshot: [a037b99a198c944a4ddbbe1d952bda1f42ab2ffa](https://github.com/InferMatrixLab/InferRSI/tree/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library).
```bash
inferrsi knowledge search 'profiling' --repo-type inferrsi --limit 50
@@ -29,7 +29,7 @@ contain the current input paths and bytes (Git checkout filters are respected).
```bash
python tools/build_skill_index.py --source-revision
-python tools/build_skill_index.py --source-revision bde70d82bb65cc2e5dcd0f9d33cda5d38091120b --check
+python tools/build_skill_index.py --source-revision a037b99a198c944a4ddbbe1d952bda1f42ab2ffa --check
```
`--check` detects missing, stale and unexpected generated records without writing.
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
index d1841646a..fe146e7da 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json",
@@ -39,7 +39,7 @@
"checkout_ref": "checkout:ascend-aclgraph-capture-replay",
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md": "d494fc7e539cbb7388189bd7b3f04bb5c4983fdd7a82484348aad1cee7f741f2",
- "src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json": "71c68431663ed2336cccc985a354adab6b13b4cfd6123a18a5d8d53c28268509",
+ "src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json": "3ac69dd82ae798450092c830b62f4958dc2f5b1c7000f9c3f822f2b0693f8af4",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/references/source-notes.md": "6ffbfb68cc7e04923b4fbca2a73a7555b7c3b45a6f40819bb5f3213ef05cf88d",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -67,12 +67,31 @@
"provenance_readsets": [
"references/source-notes.md"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Diagnose vLLM-Ascend ACLGraph eligibility, capture/replay dispatch, caller-buffer ownership and capture-resource failures.",
+ "prerequisites": "An existing eager correctness baseline; authorization before any new run or live configuration change.",
+ "input_contract": "Installed stack and device, requested/effective graph mode, runner/backend settings, capture sizes and batch descriptors, error phase, replay observations and HBM/stream evidence.",
+ "produced_artifact": "A bounded diagnosis, smallest reversible proposal, expected tradeoff and correctness/resource verification plan with unresolved compatibility or authorization questions.",
+ "refusal_point": "Stop on output mismatch, unstable replay addresses, capture exhaustion, unknown ordering or version drift; missing evidence permits only a conditional proposal."
+ },
+ "recommendations": [
+ "Diagnose the effective runtime mode and batch descriptor before changing capture sizes; intended warmup/profile bypass is not a cache defect.",
+ "Trace stable replay buffers to the owning caller and preserve synchronization/update ordering; the wrapper does not stage new inputs into persistent buffers.",
+ "Compare eager and graph execution on the same workload, separating initial capture, repeated replay, compiler changes and memory/stream costs; a replay log alone proves neither coverage nor speedup."
+ ]
+ },
+ "applicability": {
+ "scope": "Diagnose vLLM-Ascend ACLGraph eligibility, capture/replay dispatch, caller-buffer ownership and capture-resource failures.",
+ "prerequisites": "An existing eager correctness baseline; authorization before any new run or live configuration change.",
+ "input_contract": "Installed stack and device, requested/effective graph mode, runner/backend settings, capture sizes and batch descriptors, error phase, replay observations and HBM/stream evidence.",
+ "produced_artifact": "A bounded diagnosis, smallest reversible proposal, expected tradeoff and correctness/resource verification plan with unresolved compatibility or authorization questions.",
+ "refusal_point": "Stop on output mismatch, unstable replay addresses, capture exhaustion, unknown ordering or version drift; missing evidence permits only a conditional proposal."
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Diagnose the effective runtime mode and batch descriptor before changing capture sizes; intended warmup/profile bypass is not a cache defect.",
+ "Trace stable replay buffers to the owning caller and preserve synchronization/update ordering; the wrapper does not stage new inputs into persistent buffers.",
+ "Compare eager and graph execution on the same workload, separating initial capture, repeated replay, compiler changes and memory/stream costs; a replay log alone proves neither coverage nor speedup."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
index 23c6a195c..e380fb7ed 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json",
@@ -40,7 +40,7 @@
"checkout_ref": "checkout:ascend-device-health",
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md": "03829039860ece35519f2e4c339a48b5014ec25e07a2c150a3efb6a3a4e35b4a",
- "src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json": "80d80c15514919826fa72d6f6cf26b76db8accd85d21187fc239232ca454e7bf",
+ "src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json": "f643185563dbf528a5a1f2b0561685ae34302a9efc9900c6753a7168b4e8b329",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -67,12 +67,31 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Pre-run Ascend device-health, topology, occupancy and timing checks before a trusted baseline, multi-card run or graph capture, including after a killed job.",
+ "hardware": "Ascend NPU card groups with topology and health visible through npu-smi.",
+ "input_contract": "Intended card group, current topology/health and process occupancy, prior termination history and expected workload step timing.",
+ "produced_artifact": "A pre-run health/occupancy and step-timing record, with recovery observations and a baseline-remeasurement requirement after a card-group change.",
+ "failure_modes": "Health=OK can miss degraded post-kill timing; foreign processes, unwarmed clocks or comparing different card groups can contaminate the baseline."
+ },
+ "recommendations": [
+ "Read topology each session rather than hardcoding card numbers, then check health and foreign-process occupancy before the workload smoke check.",
+ "Use the short step-timing check to investigate post-kill degradation; record affected cards and timings instead of treating Health=OK as sufficient evidence.",
+ "Warm up operator measurements and remeasure the baseline after changing card groups; set only environment variables needed by the run."
+ ]
+ },
+ "applicability": {
+ "scope": "Pre-run Ascend device-health, topology, occupancy and timing checks before a trusted baseline, multi-card run or graph capture, including after a killed job.",
+ "hardware": "Ascend NPU card groups with topology and health visible through npu-smi.",
+ "input_contract": "Intended card group, current topology/health and process occupancy, prior termination history and expected workload step timing.",
+ "produced_artifact": "A pre-run health/occupancy and step-timing record, with recovery observations and a baseline-remeasurement requirement after a card-group change.",
+ "failure_modes": "Health=OK can miss degraded post-kill timing; foreign processes, unwarmed clocks or comparing different card groups can contaminate the baseline."
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Read topology each session rather than hardcoding card numbers, then check health and foreign-process occupancy before the workload smoke check.",
+ "Use the short step-timing check to investigate post-kill degradation; record affected cards and timings instead of treating Health=OK as sufficient evidence.",
+ "Warm up operator measurements and remeasure the baseline after changing card groups; set only environment variables needed by the run."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
index 4d6cf119e..4ce9daa3f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json",
@@ -48,7 +48,7 @@
"checkout_ref": "checkout:ascend-distributed-parallel",
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md": "0b79d95e8d5abf0a822f8ae6bfa3779cbb40595c5b6f0fb934233275f5899ef8",
- "src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json": "56ae2092fb4d6538603c1d3d3916f0a3f0eb443d23dad3217ebd74d48d208d94",
+ "src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json": "096a12d4a5b98bd057e1a87f972038fd43556e82e484b5134943b6e45e880178",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/references/awesome-ascend-communication-tests.md": "0cb27a3d24409171bb414d7ebf0c49ad62be5f46482f29624695496ba9eb3e63",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/references/hccl-LICENSE.md": "05205a02acebd671c78d3b876c1f6097b84cce89780f5d9bdc204bfbea92d0c1",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/references/hccl-allreduce-readset.json": "4a3d403986dfceaa28605f2f30b79545e1efdc27f35c88755402b75b4d13d7e2",
@@ -139,12 +139,31 @@
"references/hccl-allreduce.md",
"references/hccl-allreduce-readset.json",
"references/hccl-LICENSE.md"
+ ],
+ "applicability": {
+ "scope": "Select and diagnose Ascend parallel strategies and their activation/overlap, with a separately bounded native multi-rank HCCL AllReduce dispatch and correctness procedure.",
+ "input_contract": "Installed collective/runtime builds, rank/device map and topology, workload/strategy settings, count/dtype/reduction, effective dispatch, per-rank outputs and completed-collective/application timing evidence.",
+ "produced_artifact": "A topology- and workload-qualified strategy/dispatch diagnosis, activation and correctness checks, stage-cost attribution and a target-validation proposal; isolated test completion is not a service result.",
+ "failure_modes": "Requested parallel settings can silently fall back; stale local-head/chunk/shard parameters can disable a path, and changed topology/card count can confound strategy comparisons."
+ },
+ "recommendations": [
+ "Confirm the final collective algorithm/engine after fallback and observe sharding/collective activation before interpreting correct outputs or tuning performance.",
+ "Preserve peer/thread waits and test distinct rank/position data with explicit completion on every rank; keep enqueue time, collective completion and application-stage timing separate.",
+ "Recompute topology-derived parameters and remeasure the anchor after changing card groups or parallel degree; inherited diffusion topology restrictions are not universal HCCL gates.",
+ "Require producer/consumer timeline and exposed-communication evidence for overlap; compare the real pipeline wait cost rather than extrapolating small collectives from bytes."
]
},
- "applicability": {},
+ "applicability": {
+ "scope": "Select and diagnose Ascend parallel strategies and their activation/overlap, with a separately bounded native multi-rank HCCL AllReduce dispatch and correctness procedure.",
+ "input_contract": "Installed collective/runtime builds, rank/device map and topology, workload/strategy settings, count/dtype/reduction, effective dispatch, per-rank outputs and completed-collective/application timing evidence.",
+ "produced_artifact": "A topology- and workload-qualified strategy/dispatch diagnosis, activation and correctness checks, stage-cost attribution and a target-validation proposal; isolated test completion is not a service result.",
+ "failure_modes": "Requested parallel settings can silently fall back; stale local-head/chunk/shard parameters can disable a path, and changed topology/card count can confound strategy comparisons."
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Confirm the final collective algorithm/engine after fallback and observe sharding/collective activation before interpreting correct outputs or tuning performance.",
+ "Preserve peer/thread waits and test distinct rank/position data with explicit completion on every rank; keep enqueue time, collective completion and application-stage timing separate.",
+ "Recompute topology-derived parameters and remeasure the anchor after changing card groups or parallel degree; inherited diffusion topology restrictions are not universal HCCL gates.",
+ "Require producer/consumer timeline and exposed-communication evidence for overlap; compare the real pipeline wait cost rather than extrapolating small collectives from bytes."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
index 3baf8d822..52ddf4b91 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json",
@@ -47,7 +47,7 @@
"checkout_ref": "checkout:ascend-graph-mode",
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md": "a7341b5bf3b43f32d6114e2109e5043e46f3ddeef9b7bb3b20c1c50236bab638",
- "src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json": "3912bdfc721a703580a97a42ca13ac708396b17c4b600bf9e76375dd061fd29c",
+ "src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json": "017a288c514f6f0aab9d00247af7923258816f0987db15e09a5025a1f3937aa2",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/references/legacy-source-notes.md": "a51c655aff59741cd7421277bd71dffeb9907560950459ae0a776207e496de4a",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/references/torchair-LICENSE.md": "bc07d81fa332b6543463588a120518c57b5ce8582d3747de75d2f6b09b068c01",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/references/torchair-graph-path.md": "272424571ff439278c8f2675406eae7da9a6482c581973e24319739fa0e58348",
@@ -119,12 +119,31 @@
"references/torchair-LICENSE.md",
"references/legacy-source-notes.md",
"../ascend-aclgraph-capture-replay/SKILL.md"
+ ],
+ "applicability": {
+ "scope": "Diagnose the TorchAir Python ACL graph path from configuration and FX compilation through capture-key selection, fallback, input staging, replay and output lifetime.",
+ "prerequisites": "Eager correctness established first; configuration must match the installed backend, with authorization and workload-specific tolerances for any NPU comparison.",
+ "input_contract": "Installed hardware/runtime versions, actual compile backend/options, shape/dtype/stride and alias/mutation contract, retained outputs, capture/replay/fallback observations and workload mix.",
+ "produced_artifact": "A branch-specific diagnosis and bounded configuration or lifetime proposal with correctness, cold/warm cost, resource and concurrency checks still required on the actual stack.",
+ "failure_modes": "Shape equality or clone_input=False does not prove capture reuse or zero-copy; capture limits can trigger persistent fallback and later replay can overwrite retained outputs."
+ },
+ "recommendations": [
+ "Use the installed CompilerConfig/backend surface and a fresh compiled instance for option changes; do not mix registered-backend snippets with callable-backend configuration.",
+ "Observe capture, recapture, replay and persistent fallback separately, including changed addresses and revisiting old keys after a capture-limit event.",
+ "Preserve earlier results before another replay and check views/input-output aliases; keep cold capture, input/output copying, optional compiler passes and service timing separate."
]
},
- "applicability": {},
+ "applicability": {
+ "scope": "Diagnose the TorchAir Python ACL graph path from configuration and FX compilation through capture-key selection, fallback, input staging, replay and output lifetime.",
+ "prerequisites": "Eager correctness established first; configuration must match the installed backend, with authorization and workload-specific tolerances for any NPU comparison.",
+ "input_contract": "Installed hardware/runtime versions, actual compile backend/options, shape/dtype/stride and alias/mutation contract, retained outputs, capture/replay/fallback observations and workload mix.",
+ "produced_artifact": "A branch-specific diagnosis and bounded configuration or lifetime proposal with correctness, cold/warm cost, resource and concurrency checks still required on the actual stack.",
+ "failure_modes": "Shape equality or clone_input=False does not prove capture reuse or zero-copy; capture limits can trigger persistent fallback and later replay can overwrite retained outputs."
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Use the installed CompilerConfig/backend surface and a fresh compiled instance for option changes; do not mix registered-backend snippets with callable-backend configuration.",
+ "Observe capture, recapture, replay and persistent fallback separately, including changed addresses and revisiting old keys after a capture-limit event.",
+ "Preserve earlier results before another replay and check views/input-output aliases; keep cold capture, input/output copying, optional compiler passes and service timing separate."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
index a4d9f4c2d..004439845 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json",
@@ -39,7 +39,7 @@
"checkout_ref": "checkout:ascend-model-adaptation",
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md": "8fdf46fb2743b67a66bc069d22a45305a222debfb606777bc451b4b8f31d9cc6",
- "src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json": "be681a3206e5e183b4c9670c9d7784bcffce18c891449e5b15f94ca5f1324b9a",
+ "src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json": "989b91821b36c0b80caf1323ec527e7ac847219b8f4fe8ca4ea22d292365cc3c",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -65,12 +65,31 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Checkpoint onboarding for LLM/VLM adapters on Ascend: weight/scale loading, KV-head replication under tensor parallelism and staged multimodal feature checks.",
+ "prerequisites": "Check the installed CANN and checkpoint format against the versioned guidance; final sign-off requires real weights and at least one full-layer validation.",
+ "input_contract": "Checkpoint weights/configuration and scale keys, attention-head/TP configuration, model modalities and expected graph/capacity features.",
+ "produced_artifact": "A checkpoint/feature report separating dummy and real-weight evidence, applicable feature outcomes, and theoretical versus demonstrated serving capacity.",
+ "failure_modes": "Dummy-only success misses scale/remapping/sharding defects; blindly sharding replicated KV heads or accepting reduced-layer results can conceal loading or full-model failures."
+ },
+ "recommendations": [
+ "Gate onboarding in order: dummy architecture check, real-weight loading, model endpoint, text request and then multimodal request when the model supports VL; retain the evidence each stage actually supplies.",
+ "Check weight/scale pairing and each attention tensor loading path, especially when TP exceeds the KV-head count; verify historical FP8 guidance against the actual stack.",
+ "Expand capacity/concurrency only after basic modality and expected replay checks; mark MoE-only features inapplicable for non-MoE models and require full-layer validation before sign-off."
+ ]
+ },
+ "applicability": {
+ "scope": "Checkpoint onboarding for LLM/VLM adapters on Ascend: weight/scale loading, KV-head replication under tensor parallelism and staged multimodal feature checks.",
+ "prerequisites": "Check the installed CANN and checkpoint format against the versioned guidance; final sign-off requires real weights and at least one full-layer validation.",
+ "input_contract": "Checkpoint weights/configuration and scale keys, attention-head/TP configuration, model modalities and expected graph/capacity features.",
+ "produced_artifact": "A checkpoint/feature report separating dummy and real-weight evidence, applicable feature outcomes, and theoretical versus demonstrated serving capacity.",
+ "failure_modes": "Dummy-only success misses scale/remapping/sharding defects; blindly sharding replicated KV heads or accepting reduced-layer results can conceal loading or full-model failures."
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Gate onboarding in order: dummy architecture check, real-weight loading, model endpoint, text request and then multimodal request when the model supports VL; retain the evidence each stage actually supplies.",
+ "Check weight/scale pairing and each attention tensor loading path, especially when TP exceeds the KV-head count; verify historical FP8 guidance against the actual stack.",
+ "Expand capacity/concurrency only after basic modality and expected replay checks; mark MoE-only features inapplicable for non-MoE models and require full-layer validation before sign-off."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
index 4513309da..ed3083453 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json",
@@ -40,7 +40,7 @@
"checkout_ref": "checkout:ascend-operator-profiling",
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md": "401981cf7828edcab0c9ea882f7ecd83badfa3c2a95006e912cf99d67b3d6a12",
- "src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json": "efd37bb23acb500dad4ec8ebe7ddfe5c3f196374052825f923ac85da8445f06b",
+ "src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json": "b2b93637f01546ecb1b7076be6798d234988c594cccdcb764ad222af9ad21af9",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -71,12 +71,31 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Build, measure and diagnose one Ascend operator in isolation using msprof op, before interpreting system-level or multi-kernel performance.",
+ "prerequisites": "A built executable or test harness and access to real NPU hardware with msprof op for collection.",
+ "input_contract": "Operator executable/harness, collection settings and OPPROF output directory, plus the operator directory used to archive each measurement round.",
+ "produced_artifact": "Per-round raw CSV archives and observational min/average/max summaries, followed by a bottleneck interpretation and comparison of operator duration and core balance.",
+ "failure_modes": "Unwarmed or reduced-frequency runs distort timing; separately budgeting simultaneous GM reads/writes misses shared bandwidth, and tiny workloads can be dominated by launch overhead."
+ },
+ "recommendations": [
+ "Collect warmup and repeated measurements into a named round, preserve the raw CSVs, and distinguish the summary statistics from the subsequent bottleneck judgment.",
+ "Compare task duration, dominant pipeline ratios and per-core balance together; change one optimization point, rebuild as needed and archive the new round before deciding to keep it.",
+ "Check current versus rated frequency and shared read/write bandwidth before blaming the kernel; aggregate msprof ratios do not provide an instruction-by-instruction timeline."
+ ]
+ },
+ "applicability": {
+ "scope": "Build, measure and diagnose one Ascend operator in isolation using msprof op, before interpreting system-level or multi-kernel performance.",
+ "prerequisites": "A built executable or test harness and access to real NPU hardware with msprof op for collection.",
+ "input_contract": "Operator executable/harness, collection settings and OPPROF output directory, plus the operator directory used to archive each measurement round.",
+ "produced_artifact": "Per-round raw CSV archives and observational min/average/max summaries, followed by a bottleneck interpretation and comparison of operator duration and core balance.",
+ "failure_modes": "Unwarmed or reduced-frequency runs distort timing; separately budgeting simultaneous GM reads/writes misses shared bandwidth, and tiny workloads can be dominated by launch overhead."
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Collect warmup and repeated measurements into a named round, preserve the raw CSVs, and distinguish the summary statistics from the subsequent bottleneck judgment.",
+ "Compare task duration, dominant pipeline ratios and per-core balance together; change one optimization point, rebuild as needed and archive the new round before deciding to keep it.",
+ "Check current versus rated frequency and shared read/write bandwidth before blaming the kernel; aggregate msprof ratios do not provide an instruction-by-instruction timeline."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
index 72287107b..6f0d39886 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json",
@@ -41,7 +41,7 @@
"checkout_ref": "checkout:ascend-operator-tuning",
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md": "38b151bc6b4e9734c6fa41efb7a30343559400c0c75bbdd26bd8a968b8ea4592",
- "src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json": "04d2002fc8a0a7becf86b0b73daaf2da8716ab466d7f988da43d41a10f26680e",
+ "src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json": "776fe88247ddacd3cf245920c580a9ff8f2a80fbc0ad1fa7d8be6d63b15a66f7",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -69,12 +69,33 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Run a bounded, accuracy-gated tuning campaign for a single Ascend operator already identified as the bottleneck, escalating from code-level to scheduling and instruction-level changes.",
+ "prerequisites": "A measured operator baseline, an explicit numeric target and a logged on-device accuracy pass before tuning; performance comparisons use real hardware.",
+ "input_contract": "Operator implementation, fixed shape/dtype/card and warmup policy, accuracy result, per-core work/wait measurements and round logs.",
+ "produced_artifact": "A bounded campaign record of each change, accuracy and measured timing delta, kept/reverted rounds, current stage and documented stop condition.",
+ "refusal_point": "Do not start without the baseline and accuracy gate; revert accuracy failures, and stop/escalate repeated failures, timeouts, exhausted stages or the campaign budget.",
+ "failure_modes": "Scheduler-idle and predecessor-wait bottlenecks need different fixes; output inplace-reshape can corrupt slice writes, and a changed analyzer log format can produce a misleading zero-core report."
+ },
+ "recommendations": [
+ "Change one parameter and recheck accuracy each round; keep the failure record when reverting and compare the final configuration against the same baseline workload and warmup policy.",
+ "Route scheduler bubbles separately from predecessor dependencies and enter instruction-level tuning only after isolating a specific long task.",
+ "Verify the analyzer parsed real cores before trusting its diagnosis, and rederive PyPTO tile/buffer/scheduling settings for the target SoC rather than copying numeric examples."
+ ]
+ },
+ "applicability": {
+ "scope": "Run a bounded, accuracy-gated tuning campaign for a single Ascend operator already identified as the bottleneck, escalating from code-level to scheduling and instruction-level changes.",
+ "prerequisites": "A measured operator baseline, an explicit numeric target and a logged on-device accuracy pass before tuning; performance comparisons use real hardware.",
+ "input_contract": "Operator implementation, fixed shape/dtype/card and warmup policy, accuracy result, per-core work/wait measurements and round logs.",
+ "produced_artifact": "A bounded campaign record of each change, accuracy and measured timing delta, kept/reverted rounds, current stage and documented stop condition.",
+ "refusal_point": "Do not start without the baseline and accuracy gate; revert accuracy failures, and stop/escalate repeated failures, timeouts, exhausted stages or the campaign budget.",
+ "failure_modes": "Scheduler-idle and predecessor-wait bottlenecks need different fixes; output inplace-reshape can corrupt slice writes, and a changed analyzer log format can produce a misleading zero-core report."
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Change one parameter and recheck accuracy each round; keep the failure record when reverting and compare the final configuration against the same baseline workload and warmup policy.",
+ "Route scheduler bubbles separately from predecessor dependencies and enter instruction-level tuning only after isolating a specific long task.",
+ "Verify the analyzer parsed real cores before trusting its diagnosis, and rederive PyPTO tile/buffer/scheduling settings for the target SoC rather than copying numeric examples."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
index 3bc45c815..7ebcc831f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json",
@@ -39,7 +39,7 @@
"checkout_ref": "checkout:ascend-optimization-casebook",
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md": "647f5e9a288f2c4e1617ba53df59d9d827df749eb4fe86182d21a9c41175caf8",
- "src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json": "f425f7c1abbd616387273e8932c6bd02f4b1da012f099286ad4171e0f6037b22",
+ "src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json": "e5e49bf7b24fbc32ddaf1aa8ec14051ef6393533b12bb2c55fff2fb0da927541",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -65,12 +65,29 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Find source-derived prior cases for an already classified Ascend inference bottleneck, including fallback, memory traffic, exposed communication, graph startup and host scheduling gaps.",
+ "prerequisites": "A bottleneck classification from profiling and a check of the selected case preconditions/mechanism before applying it.",
+ "input_contract": "Bottleneck symptoms and matching profiler evidence, model/hardware/CANN/configuration context and, for a new case, measured before/after metrics.",
+ "produced_artifact": "A matching prior-art case and evidence requirements for a later measured application; a new case record requires a verified win or clear failure with a metric comparison.",
+ "refusal_point": "Do not add an INCONCLUSIVE case or one without a measured metric comparison; a subjective direction is insufficient evidence."
+ },
+ "recommendations": [
+ "Classify first, then check the matching case preconditions and use its owning procedure to apply and measure the candidate; the casebook itself does not perform profiling.",
+ "Keep profiler mechanism evidence and same-window end-to-end outcomes together, and retain locally_verified=false until the applied case has actually run."
+ ]
+ },
+ "applicability": {
+ "scope": "Find source-derived prior cases for an already classified Ascend inference bottleneck, including fallback, memory traffic, exposed communication, graph startup and host scheduling gaps.",
+ "prerequisites": "A bottleneck classification from profiling and a check of the selected case preconditions/mechanism before applying it.",
+ "input_contract": "Bottleneck symptoms and matching profiler evidence, model/hardware/CANN/configuration context and, for a new case, measured before/after metrics.",
+ "produced_artifact": "A matching prior-art case and evidence requirements for a later measured application; a new case record requires a verified win or clear failure with a metric comparison.",
+ "refusal_point": "Do not add an INCONCLUSIVE case or one without a measured metric comparison; a subjective direction is insufficient evidence."
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Classify first, then check the matching case preconditions and use its owning procedure to apply and measure the candidate; the casebook itself does not perform profiling.",
+ "Keep profiler mechanism evidence and same-window end-to-end outcomes together, and retain locally_verified=false until the applied case has actually run."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
index c8689ef9f..db3fc57a6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/metadata.json",
@@ -41,7 +41,7 @@
"checkout_ref": "checkout:ascend-performance-analysis",
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md": "a057b7f86a24f34a8f84abbbb4910d58d4e50ff47060e1c404600017e3febe89",
- "src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/metadata.json": "9e705625c8308013c287576b0247da6f6116d817a4a535cbecff80abd6ea35ee",
+ "src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/metadata.json": "f3fb35b14b5b1054a9192459862451149395368f4a75f430caef2f41ad050296",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/references/cannbot-CANN-2.0-LICENSE.md": "89b1c114df62cfd183004f38d18d07f186436c3b37203dd69c3e84becf9d2282",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/references/cannbot-stage-evidence.md": "f56e4125325c9c1b9235a1d64fd732861c7686444492422daff44ba8dd648be4",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
@@ -102,12 +102,31 @@
"provenance_readsets": [
"references/cannbot-stage-evidence.md"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Interpret Ascend CANN profiling evidence from step breakdown through kernel/utilization/communication analysis, and assess execution/validator evidence in automated optimization-stage reports.",
+ "prerequisites": "Usable warm-state captures with representative steps, required files and non-null utilization columns; healthy cards and a consistent valid topology for multi-card comparisons.",
+ "input_contract": "CANN step/kernel/utilization/communication outputs with verified column semantics; for stage acceptance, the loaded candidate, baseline, quality-validator output and comparable measurements.",
+ "produced_artifact": "An evidence-qualified bottleneck classification and optimization direction; stage conclusions retain missing-execution/validator INCONCLUSIVE or observed gate-failure FAIL.",
+ "failure_modes": "Summing concurrent communication durations double-counts overlap; misidentified columns can drop communication, and a successful export can still lack usable utilization data."
+ },
+ "recommendations": [
+ "Start from the step-level computing/communication/overlap/free breakdown and stop deepening the analysis once the bottleneck is located; do not sum concurrent streams as wall time.",
+ "Inspect actual column headers and enum values on the installed CANN version, then verify files and non-null metrics before interpreting utilization heuristics.",
+ "Use same-window interleaved baseline/candidate measurements on shared machines; progress markers, hashes and source-derived thresholds do not substitute for quality and execution evidence."
+ ]
+ },
+ "applicability": {
+ "scope": "Interpret Ascend CANN profiling evidence from step breakdown through kernel/utilization/communication analysis, and assess execution/validator evidence in automated optimization-stage reports.",
+ "prerequisites": "Usable warm-state captures with representative steps, required files and non-null utilization columns; healthy cards and a consistent valid topology for multi-card comparisons.",
+ "input_contract": "CANN step/kernel/utilization/communication outputs with verified column semantics; for stage acceptance, the loaded candidate, baseline, quality-validator output and comparable measurements.",
+ "produced_artifact": "An evidence-qualified bottleneck classification and optimization direction; stage conclusions retain missing-execution/validator INCONCLUSIVE or observed gate-failure FAIL.",
+ "failure_modes": "Summing concurrent communication durations double-counts overlap; misidentified columns can drop communication, and a successful export can still lack usable utilization data."
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Start from the step-level computing/communication/overlap/free breakdown and stop deepening the analysis once the bottleneck is located; do not sum concurrent streams as wall time.",
+ "Inspect actual column headers and enum values on the installed CANN version, then verify files and non-null metrics before interpreting utilization heuristics.",
+ "Use same-window interleaved baseline/candidate measurements on shared machines; progress markers, hashes and source-derived thresholds do not substitute for quality and execution evidence."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
index 3b0b531c8..b437e55a1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/metadata.json",
@@ -44,7 +44,7 @@
"checkout_ref": "checkout:ascend-video-diffusion-optimization",
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md": "53c21e64f0dd47f9510faef1f2c01e1283899787ba7ebfe70cdabd8e57a76f00",
- "src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/metadata.json": "8c2b364298330751fd1252516159b16c27e90354e2a724782d2851e68e43cdb3",
+ "src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/metadata.json": "35f725c9d9e0a8638b234da798232d2ae49a37b70f0b0360710bce333f9265ca",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/references/field-notes-video-diffusion.md": "dadac7b23462fdc325218c72ddf8a2ac553151761a5d3e45b854b53d2c8c6908",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -78,7 +78,10 @@
"applicability": {
"scope": "Ascend NPU video diffusion inference and serving optimization",
"hardware": "Ascend NPU; the measure-change-verify workflow skeleton is backend-agnostic and lives in methods/video-diffusion-optimization, while the operator, layout and profiler references here are Ascend-specific",
- "prerequisites": "A reproducible benchmark, a frozen quality check, and numeric gates defined in the governing acceptance issue"
+ "prerequisites": "A reproducible benchmark, a frozen quality check, and numeric gates defined in the governing acceptance issue",
+ "input_contract": "Issue-scoped performance and quality gates, timing boundary, representative and held-out workloads, frozen model/runtime/input settings and an authorized optimization budget.",
+ "produced_artifact": "An experiment ledger and final report of the frozen goal, baseline/final samples, quality/resource checks, accepted or reverted changes and remaining gap; verdicts require the acceptance issue evidence.",
+ "failure_modes": "Packed-layout conversion from noncontiguous weights can corrupt outputs; missing side-stream lifetime/order handling or omitted layout-copy costs can invalidate an optimization comparison."
},
"limitations": [
"Ascend specialization of the backend-agnostic methods/video-diffusion-optimization skeleton; every operator, layout and profiler reference (TransData, FRACTAL_NZ, CANN) is Ascend-specific and must be re-derived per backend.",
@@ -95,16 +98,25 @@
"../../../methods/video-diffusion-optimization/scripts/evaluate_target.py",
"../../../methods/video-diffusion-optimization/assets/campaign.template.json"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "recommendations": [
+ "Follow the common goal-contract and measure-change-verify loop, including final restarted-artifact acceptance; an operator win does not establish end-to-end improvement.",
+ "Materialize contiguous weights before FRACTAL_NZ conversion when strides differ from physical order, and attribute TransData/copy costs before proposing fusion.",
+ "Use field notes only to form hypotheses; derive thresholds, chunking, precision and sparsity from the target model measurements, and preserve stream dependencies and tensor lifetimes."
+ ]
},
"applicability": {
"scope": "Ascend NPU video diffusion inference and serving optimization",
"hardware": "Ascend NPU; the measure-change-verify workflow skeleton is backend-agnostic and lives in methods/video-diffusion-optimization, while the operator, layout and profiler references here are Ascend-specific",
- "prerequisites": "A reproducible benchmark, a frozen quality check, and numeric gates defined in the governing acceptance issue"
+ "prerequisites": "A reproducible benchmark, a frozen quality check, and numeric gates defined in the governing acceptance issue",
+ "input_contract": "Issue-scoped performance and quality gates, timing boundary, representative and held-out workloads, frozen model/runtime/input settings and an authorized optimization budget.",
+ "produced_artifact": "An experiment ledger and final report of the frozen goal, baseline/final samples, quality/resource checks, accepted or reverted changes and remaining gap; verdicts require the acceptance issue evidence.",
+ "failure_modes": "Packed-layout conversion from noncontiguous weights can corrupt outputs; missing side-stream lifetime/order handling or omitted layout-copy costs can invalidate an optimization comparison."
},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Follow the common goal-contract and measure-change-verify loop, including final restarted-artifact acceptance; an operator win does not establish end-to-end improvement.",
+ "Materialize contiguous weights before FRACTAL_NZ conversion when strides differ from physical order, and attribute TransData/copy costs before proposing fusion.",
+ "Use field notes only to form hypotheses; derive thresholds, chunking, precision and sparsity from the target model measurements, and preserve stream dependencies and tensor lifetimes."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
index 100d6c8d2..7c6adfe3d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/metadata.json",
@@ -41,7 +41,7 @@
"checkout_ref": "checkout:ascendc-tiling-design",
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md": "93aa1b775ced304cebfe6c4dec0503ddb2260ecb3cb01edc17ce329446c5ce2b",
- "src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/metadata.json": "f6d94f104cb70969024b2f4542078a240e200712c66279eca8b94f60bee1dd71",
+ "src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/metadata.json": "03cfd09faa3edf42f9d08d0d8878fe5cb7c7a376abacf211dd8f500c698f3a8f",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -69,12 +69,29 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Design or restructure AscendC tiling for the covered reduction, broadcast and elementwise classes, plus the bounded mxfp8 fusion and small-channel transpose cases.",
+ "input_contract": "Operator class and semantics, normalized shapes/axes, dtype, target chip generation, valid/aligned lengths and intermediate-buffer requirements.",
+ "produced_artifact": "A multi-core split, UB chunk formula, buffer-size/total-usage plan and branch matrix with edge tests; these are design outputs, not benchmark results.",
+ "failure_modes": "Budgeting only inputs omits intermediate UB storage; mixing valid and aligned lengths or copy units corrupts boundaries, and choosing unsupported generation-specific primitives invalidates the design."
+ },
+ "recommendations": [
+ "Normalize axes first, then decide full-load versus chunking from the entire live working set; derive tile size from buffer, axis, API and load-balance constraints.",
+ "Keep valid compute/copy lengths separate from aligned storage offsets and sizes, and complete dtype, tail/alignment and boundary branches before tuning.",
+ "Select primitives by the target generation and preserve class-specific coverage limits; re-evaluate sample constants and API semantics instead of treating formulas as tested performance evidence."
+ ]
+ },
+ "applicability": {
+ "scope": "Design or restructure AscendC tiling for the covered reduction, broadcast and elementwise classes, plus the bounded mxfp8 fusion and small-channel transpose cases.",
+ "input_contract": "Operator class and semantics, normalized shapes/axes, dtype, target chip generation, valid/aligned lengths and intermediate-buffer requirements.",
+ "produced_artifact": "A multi-core split, UB chunk formula, buffer-size/total-usage plan and branch matrix with edge tests; these are design outputs, not benchmark results.",
+ "failure_modes": "Budgeting only inputs omits intermediate UB storage; mixing valid and aligned lengths or copy units corrupts boundaries, and choosing unsupported generation-specific primitives invalidates the design."
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Normalize axes first, then decide full-load versus chunking from the entire live working set; derive tile size from buffer, axis, API and load-balance constraints.",
+ "Keep valid compute/copy lengths separate from aligned storage offsets and sizes, and complete dtype, tail/alignment and boundary branches before tuning.",
+ "Select primitives by the target generation and preserve class-specific coverage limits; re-evaluate sample constants and API semantics instead of treating formulas as tested performance evidence."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
index 78df33c6a..e687208fe 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/metadata.json",
@@ -41,7 +41,7 @@
"checkout_ref": "checkout:cann-attribution-overlap",
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md": "0e6f094dc554abea12e07def50f20b233b47127779a8aefad595b4ab1efd24c2",
- "src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/metadata.json": "acccc8eb86de0df6caf78a9b3c6db76a2a686adc4a5ba0029a4d62d50ff9a8f8",
+ "src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/metadata.json": "7ad137076afb55fbea74c6c5c0c0ca8eb3a8e615a765ec23199e8df75a8abd4f",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -69,12 +69,33 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Attribute representative CANN trace kernels to source owners and plan bounded multistream overlap using data, state, event and collective-order dependencies.",
+ "prerequisites": "Pin the installed CANN/TorchNPU/TorchAir versions before choosing one execution-mode synchronization API family; communication proposals require communication evidence.",
+ "input_contract": "Representative-step selection and shapes, kernel/stream inventory with code_ref, adjacent wait windows and dependency edges; communication analysis also needs rank/transport evidence.",
+ "produced_artifact": "An attribution map, serial/candidate/pending dependency groups and a minimal overlap plan with joins, enable/fallback path, resource tradeoffs and acceptance checks.",
+ "failure_modes": "Kernel names and mechanical coverage can misidentify ownership; logical independence can hide resource contention, and overlap ratios or summed durations can hide unchanged wall time or new tails."
+ },
+ "recommendations": [
+ "Join hotspots to source owners and adjacent wait windows before selecting a target; keep compute cost, waiting and host gaps separate.",
+ "Build explicit data/state/event/collective-order edges, then verify one correct overlap point before increasing overlap or partitioning resources.",
+ "Require observed overlap, preserved state/order and fallback behavior plus latency and outside-module checks; report wall time, interval unions and duration sums separately.",
+ "Carry disputed formulas and source-revision distinctions forward; device free time alone does not identify Python, GIL or OS causes without matching host evidence."
+ ]
+ },
+ "applicability": {
+ "scope": "Attribute representative CANN trace kernels to source owners and plan bounded multistream overlap using data, state, event and collective-order dependencies.",
+ "prerequisites": "Pin the installed CANN/TorchNPU/TorchAir versions before choosing one execution-mode synchronization API family; communication proposals require communication evidence.",
+ "input_contract": "Representative-step selection and shapes, kernel/stream inventory with code_ref, adjacent wait windows and dependency edges; communication analysis also needs rank/transport evidence.",
+ "produced_artifact": "An attribution map, serial/candidate/pending dependency groups and a minimal overlap plan with joins, enable/fallback path, resource tradeoffs and acceptance checks.",
+ "failure_modes": "Kernel names and mechanical coverage can misidentify ownership; logical independence can hide resource contention, and overlap ratios or summed durations can hide unchanged wall time or new tails."
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Join hotspots to source owners and adjacent wait windows before selecting a target; keep compute cost, waiting and host gaps separate.",
+ "Build explicit data/state/event/collective-order edges, then verify one correct overlap point before increasing overlap or partitioning resources.",
+ "Require observed overlap, preserved state/order and fallback behavior plus latency and outside-module checks; report wall time, interval unions and duration sums separately.",
+ "Carry disputed formulas and source-revision distinctions forward; device free time alone does not identify Python, GIL or OS causes without matching host evidence."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
index 3b974ef7f..0d43b77ff 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/metadata.json",
@@ -40,7 +40,7 @@
"checkout_ref": "checkout:torchnpu-device-memory-lifecycle",
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md": "8428df7157af024fa17cfe0b3818ed54bd9f468306dda46eb8d4f0edf4f3f230",
- "src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/metadata.json": "c650dce88c07b636d68e063dbda4d319f6f7f3ecbcdd5e47f393cbfc3af7c71d",
+ "src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/metadata.json": "02de593e638e71c6debb763b6b0d5a5596e0b810bbe48450ead28dc43de83f99",
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/references/source-notes.md": "80cba4d3a884e7ee2618326cf74b9f9c3a34e4d9cf443707f6bbe673f2d5ba65",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -69,12 +69,29 @@
"provenance_readsets": [
"references/source-notes.md"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Diagnose TorchNPU device-HBM reuse, stream lifetimes, fragmentation and graph/private-pool retention before proposing allocator changes.",
+ "input_contract": "Allocation failure/size sequence, device and allocator path, installed versions/settings, stream and graph-pool timeline, retained tensor references and allocator statistics with synchronization boundaries.",
+ "produced_artifact": "A suspected allocator state transition with source evidence IDs, one eligible action, resource cost, counter-signals and a correctness-first verification/rollback plan.",
+ "refusal_point": "Missing evidence supports only a conditional proposal, not a diagnosed leak; stop when external/custom/shared allocation ownership is untraced and keep baseline settings for unsupported versions or live-tensor capacity pressure."
+ },
+ "recommendations": [
+ "Separate stream lifetime protection from producer/consumer ordering, and distinguish live tensors, pending events, inactive splits and private-pool retention before tuning.",
+ "Match split or expandable-segment proposals to the observed allocation pattern and actual feature gates; do not combine incompatible controls or import comment thresholds as defaults.",
+ "Treat cache release as synchronization/allocation work at a quiescent boundary; compare identical allocation sequences in fresh processes at the same synchronization points."
+ ]
+ },
+ "applicability": {
+ "scope": "Diagnose TorchNPU device-HBM reuse, stream lifetimes, fragmentation and graph/private-pool retention before proposing allocator changes.",
+ "input_contract": "Allocation failure/size sequence, device and allocator path, installed versions/settings, stream and graph-pool timeline, retained tensor references and allocator statistics with synchronization boundaries.",
+ "produced_artifact": "A suspected allocator state transition with source evidence IDs, one eligible action, resource cost, counter-signals and a correctness-first verification/rollback plan.",
+ "refusal_point": "Missing evidence supports only a conditional proposal, not a diagnosed leak; stop when external/custom/shared allocation ownership is untraced and keep baseline settings for unsupported versions or live-tensor capacity pressure."
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Separate stream lifetime protection from producer/consumer ordering, and distinguish live tensors, pending events, inactive splits and private-pool retention before tuning.",
+ "Match split or expandable-segment proposals to the observed allocation pattern and actual feature gates; do not combine incompatible controls or import comment thresholds as defaults.",
+ "Treat cache release as synchronization/allocation work at a quiescent boundary; compare identical allocation sequences in fresh processes at the same synchronization points."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
index bb789a376..c2dd59baa 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/metadata.json",
@@ -40,7 +40,7 @@
"checkout_ref": "checkout:torchnpu-pinned-host-memory-lifecycle",
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md": "23e93ea7c98f99743509fdc04139d78ed2e7123c63e80b366c6beaba7eb70d0d",
- "src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/metadata.json": "97836a38465106d816a9ace894a7b277d6d330f9accade8f8493ce6f0fb57ef9",
+ "src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/metadata.json": "0fa51de079663043fd5785beffb153d989b1cac5833dbd2c99535f6b782a5e95",
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/references/source-notes.md": "435193590b4a2ba32e2e4c6fa9d7e8f889528d412cbbb48e35ec5433f7dab384",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -69,12 +69,29 @@
"provenance_readsets": [
"references/source-notes.md"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Diagnose TorchNPU pinned-host RAM allocation, asynchronous-copy ownership/readiness, reuse and path-specific cache controls.",
+ "input_contract": "Installed versions/settings, host pressure and allocation/reuse distribution, stream timeline, owned versus registered/pageable buffers, selected host allocator path and host statistics/allocation timings.",
+ "produced_artifact": "An ownership classification, source evidence IDs, one eligible allocator proposal, benefit/resource cost and rollback criteria for a later fresh-process comparison.",
+ "refusal_point": "Keep baseline settings for live-buffer growth, pageable copies, stable reuse, unverified versions or unsupported paths; stop tuning on event/runtime errors and escalate external ownership or gate conflicts."
+ },
+ "recommendations": [
+ "Do not mutate an H2D source or read a D2H destination before completion; non_blocking=True alone proves neither overlap nor external-buffer lifetime tracking.",
+ "Interpret host allocated/active bytes using the selected host path, and test round/cache controls only in supported default-path fresh processes; a per-buffer cache threshold is not a total-cache cap.",
+ "Keep host and device allocator options separate and use an explicit quiescent boundary for host cache release; cache clearing is not a copy-completion barrier."
+ ]
+ },
+ "applicability": {
+ "scope": "Diagnose TorchNPU pinned-host RAM allocation, asynchronous-copy ownership/readiness, reuse and path-specific cache controls.",
+ "input_contract": "Installed versions/settings, host pressure and allocation/reuse distribution, stream timeline, owned versus registered/pageable buffers, selected host allocator path and host statistics/allocation timings.",
+ "produced_artifact": "An ownership classification, source evidence IDs, one eligible allocator proposal, benefit/resource cost and rollback criteria for a later fresh-process comparison.",
+ "refusal_point": "Keep baseline settings for live-buffer growth, pageable copies, stable reuse, unverified versions or unsupported paths; stop tuning on event/runtime errors and escalate external ownership or gate conflicts."
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Do not mutate an H2D source or read a D2H destination before completion; non_blocking=True alone proves neither overlap nor external-buffer lifetime tracking.",
+ "Interpret host allocated/active bytes using the selected host path, and test round/cache controls only in supported default-path fresh processes; a per-buffer cache threshold is not a total-cache cap.",
+ "Keep host and device allocator options separate and use an explicit quiescent boundary for host cache release; cache clearing is not a copy-completion barrier."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
index 9bfdef399..b6a0f0748 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
index d944db3aa..4d8336c2d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
index fbb2c1a4c..dba2c7221 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
@@ -20,8 +20,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
index 6e2fcbedc..4a338abb3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
index 6fe9c3504..a4a346b02 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
index a690d3eb5..3b6f62b89 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
"src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
index 8fd55bb5f..8e17868ea 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
index 0821a7d0e..a1f3f43c6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
index cd18a9077..9e3b4e15c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/LICENSE",
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
index f8959efe9..7ec4a35fc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
index 7ca1325d7..a633efb76 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
"src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
index 6cca85b49..de07c73d1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
"src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
index 1caf6afaf..dec648c20 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
"src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
index 1429dd4f6..458d7a5d2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/metadata.json",
@@ -42,7 +42,7 @@
"checkout_ref": "checkout:cgroup-resource-controls",
"source_files": {
"src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md": "fd1f5a7e6a55714730044155f5b38c1d700383d4e16c3e91963bbfbe1c773af5",
- "src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/metadata.json": "19e40763fedc20990651bb989c32a7693306c5c54af46c3d4be77fd4f87b6c03",
+ "src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/metadata.json": "155aa391e573fa5bd90a089f4e3d06f357795f5d89c8cf9260e3e8ec3636b243",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -71,12 +71,33 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Audit Linux cgroup v2 CPU quota/shares, effective placement, memory pressure/protection and conditional block-device IO controls for serving or training workloads.",
+ "prerequisites": "Identify workload cgroup membership, kernel/controller support, ancestor limits and the authorized file owner; prepare previous values and stop conditions before a separately authorized trial.",
+ "input_contract": "Target PID and hierarchy/namespace view, requested/effective cpusets, time-aligned CPU/memory/IO counters and application/sibling observations; IO proposals require resolved block-backed traffic.",
+ "produced_artifact": "An evidence-qualified control review/proposal with capacity tradeoff, configuration provenance, rollback manifest and matched-window application/sibling checks.",
+ "failure_modes": "Ancestor constraints can invalidate requested placement; pressure movement alone is not application causality, and unsupported IO accounting or shared-inode attribution can misassign traffic."
+ },
+ "recommendations": [
+ "Separate own-quota throttling, ancestor limits and sibling contention before choosing a cpu.max or cpu.weight review.",
+ "Compare requested with effective CPU/node sets and budget cpuset.mems migration before proposing placement; align memory PSI with local versus descendant event deltas.",
+ "Treat increased headroom as a shared-capacity spend and verify application outcomes and sibling impact, not just counter improvements.",
+ "Resolve actual block-backed traffic and supported IO controls before proposing caps; preserve inaccessible-ancestor uncertainty and do not infer container write authority."
+ ]
+ },
+ "applicability": {
+ "scope": "Audit Linux cgroup v2 CPU quota/shares, effective placement, memory pressure/protection and conditional block-device IO controls for serving or training workloads.",
+ "prerequisites": "Identify workload cgroup membership, kernel/controller support, ancestor limits and the authorized file owner; prepare previous values and stop conditions before a separately authorized trial.",
+ "input_contract": "Target PID and hierarchy/namespace view, requested/effective cpusets, time-aligned CPU/memory/IO counters and application/sibling observations; IO proposals require resolved block-backed traffic.",
+ "produced_artifact": "An evidence-qualified control review/proposal with capacity tradeoff, configuration provenance, rollback manifest and matched-window application/sibling checks.",
+ "failure_modes": "Ancestor constraints can invalidate requested placement; pressure movement alone is not application causality, and unsupported IO accounting or shared-inode attribution can misassign traffic."
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Separate own-quota throttling, ancestor limits and sibling contention before choosing a cpu.max or cpu.weight review.",
+ "Compare requested with effective CPU/node sets and budget cpuset.mems migration before proposing placement; align memory PSI with local versus descendant event deltas.",
+ "Treat increased headroom as a shared-capacity spend and verify application outcomes and sibling impact, not just counter improvements.",
+ "Resolve actual block-backed traffic and supported IO controls before proposing caps; preserve inaccessible-ancestor uncertainty and do not infer container write authority."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
index ce7c6e5c7..694368a1f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
index e94c12016..45c37b2fc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
index f37b7765e..c90035b34 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
index f39ac4b29..22cdcf6cc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
index e6475bf57..0a23ef81f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/comfy-ui/LICENSE",
"src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
index 8cd803b37..6d975ce6e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
index aa309c547..0c48a0e66 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
index 60d8c1c02..563f4378c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
index 5cf0a0aa3..d3a0ae2d5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
index f706019fc..d71d44749 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
index 35c1146f7..d470bfdb6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
index b60d6e126..0b17c2395 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/dwarfstar/LICENSE",
"src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
index 701eedf8b..f201fcc87 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
index b1f38ce58..b88adf4eb 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
index 35039c25e..509fa46b7 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json",
@@ -56,7 +56,7 @@
"checkout_ref": "checkout:host-memory-management",
"source_files": {
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md": "4c8db9f603cd581d002e8f41da65af9cbd03699be05c4965a55de47e044e4dd8",
- "src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json": "0d1fe7238bf3e744b463df5f7dc683110468ae266709e63f0d3edfaa0e2f110c",
+ "src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json": "9fe5988b136da9aeff9d00b0c6c607cac00b4071efaf637d287a350e5d4fcafb",
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/references/cpython-PSF-LICENSE.md": "33f1a470702f459c160751bf3188b3fa7462fc761a006e03e80ef3f0a7a01ed6",
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/references/cpython-free-threading-readset.json": "46336623b3c573fad97d4c686d9836baab807adf10f4bea05352d7a46236e004",
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/references/legacy-source-notes.md": "bb1c0fb7a4d1a0301ca9e699e733224f3dcf0ded3cfe13e612e5c04d48a8cab5",
@@ -168,12 +168,29 @@
"references/cpython-PSF-LICENSE.md",
"references/legacy-source-notes.md"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Audit host preparation, pinned-host pressure and asynchronous CUDA-copy ownership/order/lifetime, with separately scoped routing for Ascend descriptor retention, Python preprocessing and NUMA placement.",
+ "input_contract": "Host buffer ownership and alias/mutation behavior, copy direction/dtype/layout, producer/consumer streams, live/in-flight/cache budget and the actual interpreter/placement context.",
+ "produced_artifact": "An ownership and dependency audit with bounded transfer candidates and a correctness-first validation plan separating enqueue, pinning, transfer, model and end-to-end cost.",
+ "failure_modes": "A stream wait does not prevent CPU mutation and record_stream does not create a data dependency; cached host storage may outlive Python scope, and the eager reusable-slot example is not capture-safe."
+ },
+ "recommendations": [
+ "Track copy-before-consumer order, CPU payload reuse and device storage lifetime as three independent obligations; wait for D2H completion before CPU reads.",
+ "Compare pageable, per-request pinning and bounded reuse on the real workload while budgeting all live and in-flight slots, cache and preprocessing memory.",
+ "Keep the eager staging-slot preconditions explicit and validate ordering/lifetime under stress before performance; a small passing sample does not establish a hazardous pattern is safe."
+ ]
+ },
+ "applicability": {
+ "scope": "Audit host preparation, pinned-host pressure and asynchronous CUDA-copy ownership/order/lifetime, with separately scoped routing for Ascend descriptor retention, Python preprocessing and NUMA placement.",
+ "input_contract": "Host buffer ownership and alias/mutation behavior, copy direction/dtype/layout, producer/consumer streams, live/in-flight/cache budget and the actual interpreter/placement context.",
+ "produced_artifact": "An ownership and dependency audit with bounded transfer candidates and a correctness-first validation plan separating enqueue, pinning, transfer, model and end-to-end cost.",
+ "failure_modes": "A stream wait does not prevent CPU mutation and record_stream does not create a data dependency; cached host storage may outlive Python scope, and the eager reusable-slot example is not capture-safe."
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Track copy-before-consumer order, CPU payload reuse and device storage lifetime as three independent obligations; wait for D2H completion before CPU reads.",
+ "Compare pageable, per-request pinning and bounded reuse on the real workload while budgeting all live and in-flight slots, cache and preprocessing memory.",
+ "Keep the eager staging-slot preconditions explicit and validate ordering/lifetime under stress before performance; a small passing sample does not establish a hazardous pattern is safe."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
index 5e56342b1..4c25638d0 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json",
@@ -40,7 +40,7 @@
"checkout_ref": "checkout:host-overhead-optimization",
"source_files": {
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md": "36ef88826a32ac3147b869001004ded17a8d5a491e25bfe105005ba39ea9d1eb",
- "src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json": "ae71c389dfdb1a19d267feecb4c6f1fbb4c9afad501ff6d8fab7e38b29bcc37a",
+ "src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json": "db3c63ca77a46e647a806e094ae662504768a958d537630a4d7bcabde35d6da3",
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/references/deepinfer-zero-overhead-scheduling.md": "f452bf40132c9195d739f1c86b3aa18857138c7ed0f1861af5853d93b9955924",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -67,12 +67,31 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Use line-level profiling to reduce exposed Python request-preparation, scheduling and execution-coordination overhead in a bounded serving optimization loop.",
+ "prerequisites": "Confirm host overhead is the limiting factor with the detection procedure before tuning; choose a representative workload and consistent CPU affinity for comparisons.",
+ "input_contract": "Detection/NVTX triage, qualified target function paths and line-profiler output, workload/affinity settings, related correctness tests and serving benchmark metrics.",
+ "produced_artifact": "Per-round hotspot/change/rollback and correctness records plus a final before/after benchmark report, failed attempts, remaining hotspots and scoped follow-up recommendations.",
+ "failure_modes": "Optimizing the default preparation function can miss a different regressing owner; caching/hoisting/preallocation can violate lifetime or invalidation, and a line-level speedup can leave serving throughput unchanged."
+ },
+ "recommendations": [
+ "Profile the actual top regressing function by absolute exposed time, drilling into dominant unprofiled subcalls instead of assuming _prepare_tp_inputs is the owner.",
+ "Prefer one small evidence-supported change with explicit ownership/lifetime/invalidation checks, run relevant correctness tests and revert failed or regressing candidates.",
+ "Re-profile identical workloads after each accepted change and compare hotspot time, total function time and serving metrics; reassess the next bottleneck and stay within the authorized budget."
+ ]
+ },
+ "applicability": {
+ "scope": "Use line-level profiling to reduce exposed Python request-preparation, scheduling and execution-coordination overhead in a bounded serving optimization loop.",
+ "prerequisites": "Confirm host overhead is the limiting factor with the detection procedure before tuning; choose a representative workload and consistent CPU affinity for comparisons.",
+ "input_contract": "Detection/NVTX triage, qualified target function paths and line-profiler output, workload/affinity settings, related correctness tests and serving benchmark metrics.",
+ "produced_artifact": "Per-round hotspot/change/rollback and correctness records plus a final before/after benchmark report, failed attempts, remaining hotspots and scoped follow-up recommendations.",
+ "failure_modes": "Optimizing the default preparation function can miss a different regressing owner; caching/hoisting/preallocation can violate lifetime or invalidation, and a line-level speedup can leave serving throughput unchanged."
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Profile the actual top regressing function by absolute exposed time, drilling into dominant unprofiled subcalls instead of assuming _prepare_tp_inputs is the owner.",
+ "Prefer one small evidence-supported change with explicit ownership/lifetime/invalidation checks, run relevant correctness tests and revert failed or regressing candidates.",
+ "Re-profile identical workloads after each accepted change and compare hotspot time, total function time and serving metrics; reassess the next bottleneck and stay within the authorized budget."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
index f88743bb3..7f0da40b5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
"src/inferrsi/data/skill_library/repositories/husky/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
index 89a2500c9..f15175347 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
index 2b589b439..ad660ee93 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/admission-drain-occupancy.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
index 7f7a01ee7..9a094daec 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
@@ -39,8 +39,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/causal-conv1d-dispatch-state.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
index 7864009ba..ff4bed256 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
index ceaa9e2f9..6d1a68f30 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
index ee17263cf..ff0c24121 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/lily/LICENSE",
"src/inferrsi/data/skill_library/repositories/lily/NOTICE.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
index 855174e9e..2f4c01e3d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/lithos-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
index 61a92eba6..392bdda1a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
"src/inferrsi/data/skill_library/repositories/local-dream/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
index 018149f60..a223b4ce5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/mistral-rs/LICENSE",
"src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
index 0d61044c8..021f3a340 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlc-llm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
index 232ce428d..3ba9b540e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
index f42d1bac1..114e05e42 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
index e6d1bfee7..5115af058 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
index 1ad9db926..2f39bc7c4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json",
@@ -42,7 +42,7 @@
"checkout_ref": "checkout:os-process-placement",
"source_files": {
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md": "2003492e4d89fde0443b180d74933e764bd1979435e109c8d26e20eb8f6e5053",
- "src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json": "ec02995c075f0a540921f57b4846f2cafe334eb90f44389f17c3c50457c3e9c5",
+ "src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json": "d53e53f724c7b6f261cf6c9b579afd20b2279cb1ffd0af89f8ce9f475046fa76",
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/references/llama-numa-thread-readset.md": "748b254b3b043a5ddb0f480eb4a566854d27eedd7b111499863e9bf0a5a6951e",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -92,12 +92,31 @@
"provenance_readsets": [
"references/llama-numa-thread-readset.md"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Prepare and record CPU/NUMA process placement, phase-specific thread settings, device contention and environment prerequisites before shared-host performance measurements.",
+ "prerequisites": "No outstanding hard environment errors: required devices/driver, planned device count and any container prerequisites must be present before running.",
+ "input_contract": "Current affinity/NUMA policy, accelerator locality, workload phase/thread controls, device occupancy, runtime environment and relevant container/resource limits.",
+ "produced_artifact": "A recorded placement/thread/environment configuration and preflight outcome, with errors requiring remediation and warnings retained for the measurement campaign.",
+ "failure_modes": "Changing affinity or thread settings between rounds confounds timing; combining independent affinity mechanisms is order-sensitive, and small driver memory usage can be mistaken for device occupation."
+ },
+ "recommendations": [
+ "Inspect affinity and NUMA policy before placement and hold them constant across comparisons; document and requalify a round when placement changes.",
+ "Choose one affinity-mask authority and distinguish generation, batch and frontend thread controls; source template thread counts are starting points rather than tuned constants.",
+ "Record device occupancy and structured ERROR/WARNING results before measuring, using the official environment setup for derived CANN paths."
+ ]
+ },
+ "applicability": {
+ "scope": "Prepare and record CPU/NUMA process placement, phase-specific thread settings, device contention and environment prerequisites before shared-host performance measurements.",
+ "prerequisites": "No outstanding hard environment errors: required devices/driver, planned device count and any container prerequisites must be present before running.",
+ "input_contract": "Current affinity/NUMA policy, accelerator locality, workload phase/thread controls, device occupancy, runtime environment and relevant container/resource limits.",
+ "produced_artifact": "A recorded placement/thread/environment configuration and preflight outcome, with errors requiring remediation and warnings retained for the measurement campaign.",
+ "failure_modes": "Changing affinity or thread settings between rounds confounds timing; combining independent affinity mechanisms is order-sensitive, and small driver memory usage can be mistaken for device occupation."
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Inspect affinity and NUMA policy before placement and hold them constant across comparisons; document and requalify a round when placement changes.",
+ "Choose one affinity-mask authority and distinguish generation, batch and frontend thread controls; source template thread counts are starting points rather than tuned constants.",
+ "Record device occupancy and structured ERROR/WARNING results before measuring, using the official environment setup for derived CANN paths."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
index 860ef2407..69ec2b258 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
index e69d8e94d..7e2bc6c58 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
"src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
index 9f2f5253d..20fd8fbb0 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/project-maya/LICENSE",
"src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
index f8da7204d..258367f27 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
index e3e9c23a3..acdce9516 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
index 379fe83b5..247917e0e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
index 9e6612249..d77e356ae 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/splash/LICENSE",
"src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
index 9e0474379..9625f56f8 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json",
@@ -41,7 +41,7 @@
"checkout_ref": "checkout:storage-io-measurement",
"source_files": {
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md": "63b883c10a8d3e7d918abfc7175b72e2b401ff1e02697f94b8382ec1c8f369b7",
- "src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json": "0a41c7b00978332b54ee1e4a7c1ade88ecde3e961128f24d1b4f7708caff5ff5",
+ "src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json": "5017aa6c04b8cc45d8549b71bc283bfced8e7e1bdb29cf0b305a0447a3c12a9d",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -69,12 +69,33 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Measure and attribute storage traffic for model loading or serving while separating device/process observations from application outcomes and cache/startup effects.",
+ "prerequisites": "Resolve backing devices and participating worker PIDs first; active fio benchmarks or cache manipulation require separate authorization, with bounded observation during already-authorized runs.",
+ "input_contract": "Observed loader access pattern, tool/OS/filesystem versions, file-to-device mapping, worker PIDs, phase timestamps, cache-state method and raw IO/job/application measurements.",
+ "produced_artifact": "A workload- and cache-qualified IO evidence record with units, achieved depth, errors/bytes/completion and device/process attribution, plus a separately measured application outcome where benefit is claimed.",
+ "refusal_point": "Reject unspecified or copied-example benchmark workloads; do not name a storage bottleneck from util/iowait alone or infer application gain from synthetic bandwidth."
+ },
+ "recommendations": [
+ "Match the fio read pattern to the observed loader and verify achieved rather than requested depth; more queued work can increase latency.",
+ "Record warm/cold/unknown cache state and its method, separate startup from repeated/steady reads, and check completed bytes for truncated runs.",
+ "Align per-device and per-process observations with the application phase, retain units and latency provenance, and corroborate saturation using traffic, queues and process activity.",
+ "Only run a separately authorized bounded read-only job against an explicit existing regular file, then remeasure the real application before accepting a benefit."
+ ]
+ },
+ "applicability": {
+ "scope": "Measure and attribute storage traffic for model loading or serving while separating device/process observations from application outcomes and cache/startup effects.",
+ "prerequisites": "Resolve backing devices and participating worker PIDs first; active fio benchmarks or cache manipulation require separate authorization, with bounded observation during already-authorized runs.",
+ "input_contract": "Observed loader access pattern, tool/OS/filesystem versions, file-to-device mapping, worker PIDs, phase timestamps, cache-state method and raw IO/job/application measurements.",
+ "produced_artifact": "A workload- and cache-qualified IO evidence record with units, achieved depth, errors/bytes/completion and device/process attribution, plus a separately measured application outcome where benefit is claimed.",
+ "refusal_point": "Reject unspecified or copied-example benchmark workloads; do not name a storage bottleneck from util/iowait alone or infer application gain from synthetic bandwidth."
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Match the fio read pattern to the observed loader and verify achieved rather than requested depth; more queued work can increase latency.",
+ "Record warm/cold/unknown cache state and its method, separate startup from repeated/steady reads, and check completed bytes for truncated runs.",
+ "Align per-device and per-process observations with the application phase, retain units and latency provenance, and corroborate saturation using traffic, queues and process activity.",
+ "Only run a separately authorized bounded read-only job against an explicit existing regular file, then remeasure the real application before accepting a benefit."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
index bcc6324a9..95644a476 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
index 0a23ae89f..a45a04823 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
index a03848459..0ce57909a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/assets/campaign.template.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
index ae0d8bcd1..89bddf892 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
index 56b37fd49..efe4a8a30 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
index 438723ba8..41e257557 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
index d9f3e6d7d..b26b549d9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/LICENSE",
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
index 9eca28b37..a4184c2aa 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/metadata.json",
@@ -42,7 +42,7 @@
"checkout_ref": "checkout:diagnose-attention-bottlenecks",
"source_files": {
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md": "a25738dbb3b9daa15c5827cb536a20fe13f7c8b9dd14aa3fb7cfa7e132879431",
- "src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/metadata.json": "3abe626a6e4c73c943429f609ce2c62aa77aae7e1726475ebbbdfbe1794f6f7d",
+ "src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/metadata.json": "6239c885aa83936a7bd9c49643b1c79b3734a17234af7c03d95839efc622c79e",
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/references/mechanisms.md": "fe08b2292fa587be3874774ddf41063b84c579a0085df422ec6710d8aa90b8b7",
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/references/papers-20261015/INTEGRATION_NOTES.md": "371b01ee201ef51fecbfd6da892d517aaba295930b9395025f03f34e21c030a1",
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/references/papers-20261015/NEXT_GATE_LEADS.md": "35b8b58ae5db02b2df51ccbe5cdf870a7383d17f345f9ee5eb7b0a4146dfc74b",
@@ -81,12 +81,29 @@
"references/papers-20261015/README.md",
"references/sources.md"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Diagnose attention-kernel bottlenecks after IO reduction, tile/pipeline regressions and precision or hardware-port assumptions.",
+ "input_contract": "Actual kernel/device revisions, attention shapes and semantics, operand/accumulator types, correctness/quality criteria, and existing traffic, resource, parallelism and stall observations.",
+ "produced_artifact": "A bottleneck diagnosis with confidence, one bounded candidate, resource exchange, counter-signal, missing evidence, source ID and next authorization gate.",
+ "refusal_point": "Return conditional hypotheses when observations are missing; reject or defer changes with wrong outputs/gradients, unsafe lifetimes/order, unsupported primitives, unacceptable accuracy or gains erased by omitted work."
+ },
+ "recommendations": [
+ "Preserve masks, dropout replay, online-softmax normalization and gradient obligations before comparing costs; exact algebra does not imply bitwise equality.",
+ "After fusion, reclassify the exposed limit using scalar work, independent output tiles and resource ceilings; larger tiles and deeper pipelines can reduce residency or spill.",
+ "Include precision preprocessing/conversion in the measurement boundary and check generated asynchronous scheduling; validate accelerator-specific primitives separately before a port."
+ ]
+ },
+ "applicability": {
+ "scope": "Diagnose attention-kernel bottlenecks after IO reduction, tile/pipeline regressions and precision or hardware-port assumptions.",
+ "input_contract": "Actual kernel/device revisions, attention shapes and semantics, operand/accumulator types, correctness/quality criteria, and existing traffic, resource, parallelism and stall observations.",
+ "produced_artifact": "A bottleneck diagnosis with confidence, one bounded candidate, resource exchange, counter-signal, missing evidence, source ID and next authorization gate.",
+ "refusal_point": "Return conditional hypotheses when observations are missing; reject or defer changes with wrong outputs/gradients, unsafe lifetimes/order, unsupported primitives, unacceptable accuracy or gains erased by omitted work."
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Preserve masks, dropout replay, online-softmax normalization and gradient obligations before comparing costs; exact algebra does not imply bitwise equality.",
+ "After fusion, reclassify the exposed limit using scalar work, independent output tiles and resource ceilings; larger tiles and deeper pipelines can reduce residency or spill.",
+ "Include precision preprocessing/conversion in the measurement boundary and check generated asynchronous scheduling; validate accelerator-specific primitives separately before a port."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
index a470ca646..32101ac3e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/metadata.json",
@@ -39,7 +39,7 @@
"checkout_ref": "checkout:host-overhead-profiling",
"source_files": {
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md": "326e566fbe30d3ba04e4b50c3e87aad9df037f0ac4ad6fe129165ae97dc5f91d",
- "src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/metadata.json": "76e34c1c64aba473a9e126b032a776417caa0f913f6ac3cf4dba3a5d123b1ee0",
+ "src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/metadata.json": "bc4236c65e37378f4a74e0b88c47776055c186aca44c000b1f68e8c63cc4b277",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -65,12 +65,31 @@
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
],
"provenance_readsets": [],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "applicability": {
+ "scope": "Detect exposed host overhead and diagnose per-step host regressions in CUDA inference serving from existing nsys timelines.",
+ "prerequisites": "An existing serving nsys trace and Python with sqlite3; comparative root-cause analysis needs baseline and target traces, with nsys export available for report-format input.",
+ "input_contract": "One trace for detection/breakdown or two comparable traces for regression analysis, including the workload/phase context needed to isolate steady-state forward steps.",
+ "produced_artifact": "A detection verdict with metric/phase evidence, per-step NVTX/kernel/API breakdown and ranked host-operation deltas for a targeted optimization handoff.",
+ "failure_modes": "Warmup/loading or mismatched phase mixtures distort per-step comparisons; duplicated rank ranges, unresolved NVTX text IDs or overlapping rank end times can miscompute host gaps."
+ },
+ "recommendations": [
+ "Isolate comparable steady-state forward iterations and inspect context/generation separately; aggregate utilization can hide a phase-specific host bottleneck.",
+ "Confirm exposed preparation using both performance impact and idle attribution, retain communication as a confounder, and triage absolute NVTX time deltas before line-level optimization.",
+ "Resolve NVTX text IDs, account for TP rank duplication and use the maximum overlapping end time for gaps; do not compare full-trace totals as per-step overhead."
+ ]
+ },
+ "applicability": {
+ "scope": "Detect exposed host overhead and diagnose per-step host regressions in CUDA inference serving from existing nsys timelines.",
+ "prerequisites": "An existing serving nsys trace and Python with sqlite3; comparative root-cause analysis needs baseline and target traces, with nsys export available for report-format input.",
+ "input_contract": "One trace for detection/breakdown or two comparable traces for regression analysis, including the workload/phase context needed to isolate steady-state forward steps.",
+ "produced_artifact": "A detection verdict with metric/phase evidence, per-step NVTX/kernel/API breakdown and ranked host-operation deltas for a targeted optimization handoff.",
+ "failure_modes": "Warmup/loading or mismatched phase mixtures distort per-step comparisons; duplicated rank ranges, unresolved NVTX text IDs or overlapping rank end times can miscompute host gaps."
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Isolate comparable steady-state forward iterations and inspect context/generation separately; aggregate utilization can hide a phase-specific host bottleneck.",
+ "Confirm exposed preparation using both performance impact and idle attribution, retain communication as a confounder, and triage absolute NVTX time deltas before line-level optimization.",
+ "Resolve NVTX text IDs, account for TP rank duplication and use the maximum overlapping end time for gaps; do not compare full-trace totals as per-step overhead."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
index 058605427..e36c67b15 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
@@ -36,8 +36,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
+ "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/metadata.json",
@@ -62,7 +62,7 @@
"checkout_ref": "checkout:reason-hopper-kernels",
"source_files": {
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md": "cec4e3aa1eb64c31c54b5f5ca40af2b61b7919d94be4174968581d5f752c0538",
- "src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/metadata.json": "7520da1cc97412631a600957ecb18aa5a7a4461ea21e76c237330180193ed898",
+ "src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/metadata.json": "79ca64dc97ad34331036dc071e86954c98ac568e651adfae74cce74f1ca61c7b",
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/references/fp8.md": "31d9c211c11c2224007abbdcd4059913c4a54833fe2d2f926411c5238fcd3501",
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/references/licenses/cutlass-bsd.md": "42fec630f410aa308f70a51a89fadcd19586fa620f9831a32bee528a9a10000e",
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/references/licenses/deepgemm-mit.md": "6c73a30c14a2938abaa6afe98ebb19e6d81dac5bd4ace0cb05c61c20afa37b85",
@@ -238,7 +238,10 @@
"CLC",
"two-SM MMA",
"native NVFP4/block-scaled tcgen05 MMA"
- ]
+ ],
+ "input_contract": "Device/compute capability, compiler target and selected implementation, kernel/library revisions, shapes/strides/alignment, numeric and grouping/epilogue semantics, correctness criterion and measurement boundary.",
+ "produced_artifact": "A source-qualified, reviewable hypothesis with one bounded change, resource/accuracy exchange, counter-signal, stop condition and next verification step.",
+ "failure_modes": "SM90 tags or import/dispatch guards can hide an unbuilt or unselected SM90a instruction path; extra stages or register caps can increase spills or lower residency."
},
"limitations": [
"Native compilation, GPU correctness, numerical accuracy, profiling, performance, model/service behavior and skill efficacy were not run.",
@@ -256,7 +259,12 @@
"../diagnose-attention-bottlenecks/SKILL.md",
"../../../methods/kernel-writing-guide/SKILL.md"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "recommendations": [
+ "For WGMMA advice, confirm the compiled and selected SM90a path; do not transplant Blackwell-only instruction or memory mechanisms.",
+ "Resolve producer/consumer ownership and completion before tuning stage depth; budget live accumulators, padded shared memory, scales and epilogue storage together.",
+ "For later validation, check tails, short K, stage wraparound and grouped offsets against the frozen reference, inspect actual PTX/SASS resources, and include setup/conversion/reduction costs."
+ ]
},
"applicability": {
"scope": "Source-derived Hopper SM90/SM90a kernel reasoning for TMA/mbarrier, WGMMA, resource/layout/pipeline/software scheduling and selected FP8 GEMM. CUDA categorization does not certify other GPU architectures, library dispatch, or a combined tested stack.",
@@ -270,11 +278,15 @@
"CLC",
"two-SM MMA",
"native NVFP4/block-scaled tcgen05 MMA"
- ]
+ ],
+ "input_contract": "Device/compute capability, compiler target and selected implementation, kernel/library revisions, shapes/strides/alignment, numeric and grouping/epilogue semantics, correctness criterion and measurement boundary.",
+ "produced_artifact": "A source-qualified, reviewable hypothesis with one bounded change, resource/accuracy exchange, counter-signal, stop condition and next verification step.",
+ "failure_modes": "SM90 tags or import/dispatch guards can hide an unbuilt or unselected SM90a instruction path; extra stages or register caps can increase spills or lower residency."
},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "For WGMMA advice, confirm the compiled and selected SM90a path; do not transplant Blackwell-only instruction or memory mechanisms.",
+ "Resolve producer/consumer ownership and completion before tuning stage depth; budget live accumulators, padded shared memory, scales and epilogue storage together.",
+ "For later validation, check tails, short K, stage wraparound and grouped offsets against the frozen reference, inspect actual PTX/SASS resources, and include setup/conversion/reduction costs."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
From 0febe02e7d6a784b100f66c8865f66b90f0babbd Mon Sep 17 00:00:00 2001
From: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Date: Sat, 31 Oct 2026 12:30:01 +0800
Subject: [PATCH 3/6] docs: regenerate hardware projections from the merged
source
Pin the canonical catalog to the reachable source merge and refresh the
coverage view from the same committed input bytes.
Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (generated projections and validation)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
---
docs/skill-coverage.md | 4 ++--
.../repo_packs/inferrsi/knowledge/README.md | 4 ++--
.../ascend-aclgraph-capture-replay.json | 4 ++--
.../ascend/skills/ascend-device-health.json | 4 ++--
.../skills/ascend-distributed-parallel.json | 4 ++--
.../ascend/skills/ascend-graph-mode.json | 4 ++--
.../skills/ascend-model-adaptation.json | 4 ++--
.../skills/ascend-operator-profiling.json | 4 ++--
.../ascend/skills/ascend-operator-tuning.json | 4 ++--
.../skills/ascend-optimization-casebook.json | 4 ++--
.../skills/ascend-performance-analysis.json | 4 ++--
.../ascend-video-diffusion-optimization.json | 4 ++--
.../ascend/skills/ascendc-tiling-design.json | 4 ++--
.../skills/cann-attribution-overlap.json | 4 ++--
.../torchnpu-device-memory-lifecycle.json | 4 ++--
...torchnpu-pinned-host-memory-lifecycle.json | 4 ++--
.../skills/assess-serving-preemption.json | 4 ++--
.../assess-split-backward-schedule.json | 4 ++--
.../skills/audit-fixed-workload-claim.json | 4 ++--
.../audit-h3-metal-fasth3-semantics.json | 4 ++--
.../skills/audit-h3-runtime-residency.json | 4 ++--
.../skills/audit-llama-runtime-state.json | 4 ++--
.../audit-recurrent-kv-finalization.json | 4 ++--
.../common/skills/audit-sd-cpp-residency.json | 4 ++--
.../audit-sglang-diffusion-lifetimes.json | 4 ++--
.../skills/audit-vllm-kv-lifetimes.json | 4 ++--
.../bound-windowed-attention-replay.json | 4 ++--
.../budget-speculative-verification.json | 4 ++--
.../skills/calibrate-serving-simulation.json | 4 ++--
.../skills/cgroup-resource-controls.json | 4 ++--
.../checkpoint-recovery-consistency.json | 4 ++--
.../skills/choose-parallel-training-plan.json | 4 ++--
.../skills/cite-check-downstream-pr.json | 4 ++--
.../common/skills/claim-contract.json | 4 ++--
.../knowledge/common/skills/comfy-ui.json | 4 ++--
.../common/skills/competitor-scan.json | 4 ++--
.../skills/dcp-async-save-performance.json | 4 ++--
.../skills/dense-performance-evidence.json | 4 ++--
.../diagnose-vllm-admission-pressure.json | 4 ++--
.../skills/diffusers-invocation-state.json | 4 ++--
.../common/skills/draft-acceptance-issue.json | 4 ++--
.../knowledge/common/skills/dwarfstar.json | 4 ++--
.../evaluate-elastic-serving-placement.json | 4 ++--
.../skills/generation-cache-lifecycle.json | 4 ++--
.../common/skills/host-memory-management.json | 4 ++--
.../skills/host-overhead-optimization.json | 4 ++--
.../knowledge/common/skills/husky.json | 4 ++--
.../skills/inference-benchmark-design.json | 4 ++--
.../inference-optimization-casebook.json | 4 ++--
.../common/skills/kernel-writing-guide.json | 4 ++--
.../common/skills/kv-tier-management.json | 4 ++--
.../lazy-evaluation-stream-lifetimes.json | 4 ++--
.../knowledge/common/skills/lily.json | 4 ++--
.../knowledge/common/skills/lithos-metal.json | 4 ++--
.../knowledge/common/skills/local-dream.json | 4 ++--
.../knowledge/common/skills/mistral-rs.json | 4 ++--
.../knowledge/common/skills/mlc-llm.json | 4 ++--
.../knowledge/common/skills/mlx-swift-lm.json | 4 ++--
.../common/skills/npu-skill-factory.json | 4 ++--
.../skills/optimization-search-policy.json | 24 +++++++++++++------
.../common/skills/os-process-placement.json | 4 ++--
.../skills/performance-ceiling-analysis.json | 4 ++--
.../skills/plan-activation-residency.json | 4 ++--
.../knowledge/common/skills/project-maya.json | 4 ++--
.../skills/repository-evolution-analysis.json | 4 ++--
.../knowledge/common/skills/rsi-evidence.json | 4 ++--
.../skills/skill-evolution-playbook.json | 4 ++--
.../knowledge/common/skills/splash.json | 4 ++--
.../common/skills/storage-io-measurement.json | 4 ++--
.../skills/training-input-pipeline.json | 4 ++--
.../skills/training-resource-budget.json | 4 ++--
.../skills/video-diffusion-optimization.json | 4 ++--
.../knowledge/common/skills/vllm-metal.json | 4 ++--
.../skills/weight-loading-optimization.json | 4 ++--
.../cuda/skills/audit-afd-p2p-exchanges.json | 4 ++--
.../skills/audit-flare-session-lifecycle.json | 4 ++--
.../diagnose-attention-bottlenecks.json | 4 ++--
.../cuda/skills/host-overhead-profiling.json | 4 ++--
.../cuda/skills/reason-hopper-kernels.json | 4 ++--
79 files changed, 173 insertions(+), 163 deletions(-)
diff --git a/docs/skill-coverage.md b/docs/skill-coverage.md
index 8edd60c33..136b30ef7 100644
--- a/docs/skill-coverage.md
+++ b/docs/skill-coverage.md
@@ -4,7 +4,7 @@ Generated from the registry, the skill sidecars and the two maintained
matrices. **Do not edit by hand**; regenerate after any registry, skill,
matrix or frozen-plan change.
-- Input digest: `sha256:9dcc69fe814dfbe806db873899e428e7073eefdb955ef2ee7c8cd39945ea2562`
+- Input digest: `sha256:b87e5a96e83a387c8dcc096b5b51f58bf36f7f647948474732c97a08870b46af`
- Regenerate: `python tools/build_skill_coverage.py`
- Verify without writing: `python tools/build_skill_coverage.py --check`
@@ -129,7 +129,7 @@ optimization is fully covered or that any procedure has measured benefit.
| [inference-benchmark-design](../src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md) | common | Select task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents ... | **unknown** | — | — | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
Task-specific benchmark selection (issue #60) ([Issue #60 report](https://github.com/InferMatrixLab/InferRSI/issues/6 ...) | candidate · not_run · 2 readset(s) | no-SearchSpace-layer, no-applicability |
| [inference-optimization-casebook](../src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md) | common | How to structure and use a casebook of past optimization decisions as a decision-support tool. Extracts the casebook ... | **unknown** | — | 1 Accelerator · Optimize | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd) | candidate · not_run · 0 readset(s) | no-applicability, no-eval |
| [kernel-writing-guide](../src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md) | common | Decision guide for writing custom inference kernels: when to write one, which framework to choose (Triton, CuTe DSL ... | **unknown** | — | 1 Accelerator · Optimize / Diagnose / Configure / Verify | 1 · Systems sources (Dao-AILab/causal-conv1d @ `cd81f0413cad2fc1e6f17e785ac39f59aae690cd` ...)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (huggingface/transformers @ `0dad7b822255a0ae261ec45ae937371e859ffd1a` ...)
1 · Systems sources (mindspore-ai/akg @ `5aa15f3fe4d856eb60cd3b27447e04f5f1fb4dff` ...)
1 · Systems sources (sgl-project/sglang @ `16176278d0180f1a1a578e53e6eef432577876c2` ...)
1 · Systems sources (vllm-project/vllm @ `537a79f0fc5ba564d2bef43d54915b2f80f9f77d` (root ...) | candidate · not_run · 7 readset(s) | no-applicability, no-eval |
-| [optimization-search-policy](../src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md) | common | Policy for how an optimization agent should select, order, and stop optimization experiments. Covers candidate ... | **unknown** | — | 1 Accelerator · Optimize | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (RRSI — arXiv 2609.24972v3)
2 · Methodology and corpus references (arXiv 2608.01867 (CRISP))
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 6 readset(s) | no-applicability, no-eval |
+| [optimization-search-policy](../src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md) | common | Policy for how an optimization agent should select, order, and stop optimization experiments. Covers candidate ... | **unknown** | — | 1 Accelerator · Optimize | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (RRSI — arXiv 2609.24972v3)
2 · Methodology and corpus references (arXiv 2608.01867 (CRISP))
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 7 readset(s) | no-applicability, no-eval |
| [performance-ceiling-analysis](../src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md) | common | Estimate optimization headroom before modifying an inference system. Produces a three-level ceiling model (analytical ... | inference serving systems (LLM, diffusion, audio) | — | 1 Accelerator · Diagnose / Verify
5 OS · Configure | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ebugger/Empirical-Roofline-Toolkit @ 0771fa9)
1 · Systems sources (hahnyuan/LLM-Viewer @ 1893e4b) | candidate · not_run · 16 readset(s) | no-eval |
| [plan-activation-residency](../src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md) | common | Propose training activation and gradient memory reductions by distinguishing lifetime reordering, address packing and ... | **unknown** | — | 1 Accelerator · Diagnose / Optimize / Verify | 1 · Systems sources (Checkmate — [1910.02653v3](https://arxiv.org/abs/1910.02653v3)) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
| [repository-evolution-analysis](../src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md) | common | Analyze a repository's commit history to build a capability-evolution model: what the system can do, how it got there ... | any software repository with a recoverable git history | — | — | 2 · Methodology and corpus references (LearningToCommit/LearningToCommit @ 7e5a1d7)
2 · Methodology and corpus references (yetone/magpie @ 77800032) | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-eval |
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
index 506f82393..17eb1bbdb 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
@@ -15,7 +15,7 @@ These are knowledge abstracts (`--kind knowledge`), with namespaced package
IDs distinct from explicitly selected `checkout_ref` skills. Ascend/CUDA
procedures use their corresponding backend; shared methods use `common`.
-Source snapshot: [a037b99a198c944a4ddbbe1d952bda1f42ab2ffa](https://github.com/InferMatrixLab/InferRSI/tree/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library).
+Source snapshot: [4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937](https://github.com/InferMatrixLab/InferRSI/tree/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library).
```bash
inferrsi knowledge search 'profiling' --repo-type inferrsi --limit 50
@@ -29,7 +29,7 @@ contain the current input paths and bytes (Git checkout filters are respected).
```bash
python tools/build_skill_index.py --source-revision
-python tools/build_skill_index.py --source-revision a037b99a198c944a4ddbbe1d952bda1f42ab2ffa --check
+python tools/build_skill_index.py --source-revision 4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937 --check
```
`--check` detects missing, stale and unexpected generated records without writing.
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
index fe146e7da..014d43cc7 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
index e380fb7ed..8f750e7e1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
index 4ce9daa3f..6500bc663 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
index 52ddf4b91..28a88470f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
index 004439845..4b86f36fe 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
index ed3083453..2e1571e3c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
index 6f0d39886..5977f34a7 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
@@ -24,8 +24,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
index 7ebcc831f..23c975452 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
index db3fc57a6..195343dd3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
index b437e55a1..d2050908b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
index 7c6adfe3d..996583711 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
@@ -24,8 +24,8 @@
"sources": [
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
index e687208fe..88151c77c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
@@ -24,8 +24,8 @@
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
index 0d43b77ff..ce3de0d66 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
@@ -22,8 +22,8 @@
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
index c2dd59baa..52601e083 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
index b6a0f0748..25058f0c6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
@@ -16,8 +16,8 @@
"sources": [
{
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
index 4d8336c2d..3f698e280 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
@@ -16,8 +16,8 @@
"sources": [
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
index dba2c7221..030f9674d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
@@ -20,8 +20,8 @@
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{
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
index 4a338abb3..9d7bcef8d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
@@ -29,8 +29,8 @@
"sources": [
{
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
index a4a346b02..73120a934 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
@@ -30,8 +30,8 @@
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
index 3b6f62b89..affb5d3c1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
@@ -23,8 +23,8 @@
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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"src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
index 8e17868ea..baa5669e6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
@@ -26,8 +26,8 @@
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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"src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
index a1f3f43c6..1555f77c8 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
@@ -25,8 +25,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
index 9e3b4e15c..a6c9949fb 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/LICENSE",
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
index 7ec4a35fc..5e010a604 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
@@ -21,8 +21,8 @@
"sources": [
{
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
index a633efb76..0a218705c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
@@ -23,8 +23,8 @@
"sources": [
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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"src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
index de07c73d1..2ae195cce 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
@@ -23,8 +23,8 @@
"sources": [
{
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
index dec648c20..cd1d730b9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
@@ -16,8 +16,8 @@
"sources": [
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
index 458d7a5d2..19c124575 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
@@ -25,8 +25,8 @@
"sources": [
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
index 694368a1f..bfcea8747 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
@@ -22,8 +22,8 @@
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
index 45c37b2fc..76fe930fc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
@@ -16,8 +16,8 @@
"sources": [
{
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
index c90035b34..a5f87a646 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
@@ -22,8 +22,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
index 22cdcf6cc..33affcd02 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
@@ -22,8 +22,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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"src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
index 0a23ef81f..0f201d0af 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
@@ -22,8 +22,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/comfy-ui/LICENSE",
"src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
index 6d975ce6e..e8d382fa6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
@@ -21,8 +21,8 @@
"sources": [
{
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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"src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
index 0c48a0e66..e2e2f6675 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
@@ -23,8 +23,8 @@
"sources": [
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
index 563f4378c..622fd60df 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
@@ -21,8 +21,8 @@
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
index d3a0ae2d5..9d54a8494 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
@@ -21,8 +21,8 @@
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- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
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"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
index d71d44749..79638f3a9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
index d470bfdb6..2bd71bbdb 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
index 0b17c2395..37ccc2a6e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/dwarfstar/LICENSE",
"src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
index f201fcc87..00eed0810 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
index b88adf4eb..af4c90c93 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
index 509fa46b7..5541d25cd 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
index 4c25638d0..ba309cf9c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
index 7f0da40b5..5c40a15bf 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
"src/inferrsi/data/skill_library/repositories/husky/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
index f15175347..62f874d50 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
index ad660ee93..15633104f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/admission-drain-occupancy.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
index 9a094daec..a7ea46778 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
@@ -39,8 +39,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/causal-conv1d-dispatch-state.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
index ff4bed256..fcada890b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
index 6d1a68f30..ec6124e3e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
index ff0c24121..98dec896c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/lily/LICENSE",
"src/inferrsi/data/skill_library/repositories/lily/NOTICE.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
index 2f4c01e3d..f5253fbba 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/lithos-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
index 392bdda1a..803077fc2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
"src/inferrsi/data/skill_library/repositories/local-dream/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
index a223b4ce5..3da22ba94 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/mistral-rs/LICENSE",
"src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
index 021f3a340..ff6f6fbbc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlc-llm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
index 3ba9b540e..658f9badc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
index 114e05e42..235b6ce84 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
index 5115af058..884f50bdd 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
@@ -21,10 +21,12 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.json",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/INTEGRATION_NOTES.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/MECHANISMS.md",
@@ -34,7 +36,7 @@
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/updates/optimization-search-policy.md",
"src/inferrsi/data/skill_library/skill-index.json"
],
- "content_sha256": "dd275a0576e827353963aae7f0b09494d60d0b9a4a2884fe575c85249fa3131b"
+ "content_sha256": "164d5f67dcf3ec2dc0f93359da361777c00e7feab46503dfd14962b3957d488b"
}
],
"index_type": "packaged-skill",
@@ -43,8 +45,10 @@
},
"checkout_ref": "checkout:optimization-search-policy",
"source_files": {
- "src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md": "dd275a0576e827353963aae7f0b09494d60d0b9a4a2884fe575c85249fa3131b",
- "src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json": "4a61aab6b9984dacdccd657c17f2d959b3a6ffe74bfd2f1677438f3bb8f025d3",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md": "164d5f67dcf3ec2dc0f93359da361777c00e7feab46503dfd14962b3957d488b",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.json": "f8448973cf1c9e506179c02c5e55bd804ea039b7276cf08071952f6c0be656ad",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.md": "2c2a8147001d24d1abc8672f15cf0ca759ae461b734413c8dcb7497634bb6821",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json": "e853aae5b69ebf08fad94b2f4e0ad757475b96e8527414d2c942151531dba133",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/INTEGRATION_NOTES.md": "157e74ba180426b279b548a729769f152bf18f9a78ffca4ebfcaf26b7d0c5292",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/MECHANISMS.md": "18bb2f5d7e52773c516420a142edfb531d0b9c822a2934d60f3234ac1cb9d40e",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/NEXT_GATE_LEADS.md": "16a264c7159f9c2c700ce8ba46e63f3e636b277c987da4970f6d2fa085fcb053",
@@ -80,7 +84,8 @@
"references/papers-20261015/MECHANISMS.md",
"references/papers-20261015/NEXT_GATE_LEADS.md",
"references/papers-20261015/references/source-notes.md",
- "references/papers-20261015/updates/optimization-search-policy.md"
+ "references/papers-20261015/updates/optimization-search-policy.md",
+ "cases/sarathi-chunk-budget.json"
],
"references": [
"../inference-optimization-casebook/cases/qwen-b300-rejected-directions.md",
@@ -89,7 +94,12 @@
"../inference-optimization-casebook/cases/qwen-ascend-rejected-directions.json",
"../inference-optimization-casebook/cases/drama3-rejected-directions.md",
"../inference-optimization-casebook/cases/drama3-rejected-directions.json",
- "../../workflows/rsi-evidence/references/loopx-goal-governance/README.md"
+ "../../workflows/rsi-evidence/references/loopx-goal-governance/README.md",
+ "cases/sarathi-chunk-budget.md",
+ "cases/sarathi-chunk-budget.json",
+ "../../repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
+ "../assess-serving-preemption/SKILL.md",
+ "../calibrate-serving-simulation/SKILL.md"
],
"consumption_mode": "packaged"
},
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
index 2f39bc7c4..be369d987 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
index 69ec2b258..ce4ccf3db 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
index 7e2bc6c58..9930f57a6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
"src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
index 20fd8fbb0..f36e3e400 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/project-maya/LICENSE",
"src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
index 258367f27..1ee505006 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
index acdce9516..cb164610b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
index 247917e0e..7c17c0bfc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
index d77e356ae..a1083e59f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/splash/LICENSE",
"src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
index 9625f56f8..3521a2337 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
index 95644a476..e8f8ec573 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
index a45a04823..2ff941969 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
index 0ce57909a..195a83d5d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/assets/campaign.template.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
index 89bddf892..d411f0b80 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
index efe4a8a30..ec47de2b2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
index 41e257557..65e0b4fb1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
index b26b549d9..ab0efaca6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/LICENSE",
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
index a4184c2aa..6b4116df9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
index 32101ac3e..16ee9e2b9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
index e36c67b15..e44f9c001 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
@@ -36,8 +36,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/a037b99a198c944a4ddbbe1d952bda1f42ab2ffa/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
- "commit": "a037b99a198c944a4ddbbe1d952bda1f42ab2ffa",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
+ "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/metadata.json",
From 270fca4daccae4b4c257f4c2191295219b51256c Mon Sep 17 00:00:00 2001
From: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Date: Sat, 31 Oct 2026 13:45:15 +0800
Subject: [PATCH 4/6] docs: regenerate skill projections from published source
history
Keep the canonical source snapshot reachable as a preceding commit.
Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
---
docs/skill-coverage.md | 6 +--
.../repo_packs/inferrsi/knowledge/README.md | 4 +-
.../ascend-aclgraph-capture-replay.json | 4 +-
.../ascend/skills/ascend-device-health.json | 4 +-
.../skills/ascend-distributed-parallel.json | 4 +-
.../ascend/skills/ascend-graph-mode.json | 4 +-
.../skills/ascend-model-adaptation.json | 4 +-
.../skills/ascend-operator-profiling.json | 4 +-
.../ascend/skills/ascend-operator-tuning.json | 4 +-
.../skills/ascend-optimization-casebook.json | 4 +-
.../skills/ascend-performance-analysis.json | 4 +-
.../ascend-video-diffusion-optimization.json | 4 +-
.../ascend/skills/ascendc-tiling-design.json | 4 +-
.../skills/cann-attribution-overlap.json | 4 +-
.../torchnpu-device-memory-lifecycle.json | 4 +-
...torchnpu-pinned-host-memory-lifecycle.json | 4 +-
.../skills/assess-serving-preemption.json | 4 +-
.../assess-split-backward-schedule.json | 4 +-
.../skills/audit-fixed-workload-claim.json | 4 +-
.../audit-h3-metal-fasth3-semantics.json | 4 +-
.../skills/audit-h3-runtime-residency.json | 4 +-
.../skills/audit-llama-runtime-state.json | 4 +-
.../audit-recurrent-kv-finalization.json | 4 +-
.../common/skills/audit-sd-cpp-residency.json | 4 +-
.../audit-sglang-diffusion-lifetimes.json | 4 +-
.../skills/audit-vllm-kv-lifetimes.json | 4 +-
.../bound-windowed-attention-replay.json | 4 +-
.../budget-speculative-verification.json | 4 +-
.../skills/calibrate-serving-simulation.json | 4 +-
.../skills/cgroup-resource-controls.json | 4 +-
.../checkpoint-recovery-consistency.json | 4 +-
.../skills/choose-parallel-training-plan.json | 4 +-
.../skills/cite-check-downstream-pr.json | 4 +-
.../common/skills/claim-contract.json | 4 +-
.../knowledge/common/skills/comfy-ui.json | 4 +-
.../common/skills/competitor-scan.json | 4 +-
.../skills/dcp-async-save-performance.json | 4 +-
.../skills/dense-performance-evidence.json | 4 +-
.../diagnose-vllm-admission-pressure.json | 4 +-
.../skills/diffusers-invocation-state.json | 4 +-
.../common/skills/draft-acceptance-issue.json | 4 +-
.../knowledge/common/skills/dwarfstar.json | 4 +-
.../evaluate-elastic-serving-placement.json | 4 +-
.../skills/generation-cache-lifecycle.json | 4 +-
.../common/skills/host-memory-management.json | 4 +-
.../skills/host-overhead-optimization.json | 4 +-
.../knowledge/common/skills/husky.json | 4 +-
.../skills/inference-benchmark-design.json | 4 +-
.../inference-optimization-casebook.json | 4 +-
.../common/skills/kernel-writing-guide.json | 4 +-
.../common/skills/kv-tier-management.json | 4 +-
.../lazy-evaluation-stream-lifetimes.json | 4 +-
.../knowledge/common/skills/lily.json | 4 +-
.../knowledge/common/skills/lithos-metal.json | 4 +-
.../knowledge/common/skills/local-dream.json | 4 +-
.../knowledge/common/skills/mistral-rs.json | 4 +-
.../knowledge/common/skills/mlc-llm.json | 4 +-
.../knowledge/common/skills/mlx-swift-lm.json | 4 +-
.../common/skills/npu-skill-factory.json | 4 +-
.../skills/optimization-search-policy.json | 42 +++++++++++++++----
.../common/skills/os-process-placement.json | 4 +-
.../skills/performance-ceiling-analysis.json | 32 ++++++++++----
.../skills/plan-activation-residency.json | 4 +-
.../knowledge/common/skills/project-maya.json | 4 +-
.../skills/repository-evolution-analysis.json | 4 +-
.../knowledge/common/skills/rsi-evidence.json | 4 +-
.../skills/skill-evolution-playbook.json | 4 +-
.../knowledge/common/skills/splash.json | 4 +-
.../common/skills/storage-io-measurement.json | 4 +-
.../skills/training-input-pipeline.json | 4 +-
.../skills/training-resource-budget.json | 4 +-
.../skills/video-diffusion-optimization.json | 4 +-
.../knowledge/common/skills/vllm-metal.json | 4 +-
.../skills/weight-loading-optimization.json | 4 +-
.../cuda/skills/audit-afd-p2p-exchanges.json | 4 +-
.../skills/audit-flare-session-lifecycle.json | 4 +-
.../diagnose-attention-bottlenecks.json | 4 +-
.../cuda/skills/host-overhead-profiling.json | 4 +-
.../cuda/skills/reason-hopper-kernels.json | 4 +-
79 files changed, 215 insertions(+), 169 deletions(-)
diff --git a/docs/skill-coverage.md b/docs/skill-coverage.md
index 136b30ef7..b13029d7a 100644
--- a/docs/skill-coverage.md
+++ b/docs/skill-coverage.md
@@ -4,7 +4,7 @@ Generated from the registry, the skill sidecars and the two maintained
matrices. **Do not edit by hand**; regenerate after any registry, skill,
matrix or frozen-plan change.
-- Input digest: `sha256:b87e5a96e83a387c8dcc096b5b51f58bf36f7f647948474732c97a08870b46af`
+- Input digest: `sha256:b11d38a7a822d1d0c52367d3572375b1212cac8a1dd3fa7bc5729884cd92b461`
- Regenerate: `python tools/build_skill_coverage.py`
- Verify without writing: `python tools/build_skill_coverage.py --check`
@@ -129,8 +129,8 @@ optimization is fully covered or that any procedure has measured benefit.
| [inference-benchmark-design](../src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md) | common | Select task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents ... | **unknown** | — | — | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
Task-specific benchmark selection (issue #60) ([Issue #60 report](https://github.com/InferMatrixLab/InferRSI/issues/6 ...) | candidate · not_run · 2 readset(s) | no-SearchSpace-layer, no-applicability |
| [inference-optimization-casebook](../src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md) | common | How to structure and use a casebook of past optimization decisions as a decision-support tool. Extracts the casebook ... | **unknown** | — | 1 Accelerator · Optimize | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd) | candidate · not_run · 0 readset(s) | no-applicability, no-eval |
| [kernel-writing-guide](../src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md) | common | Decision guide for writing custom inference kernels: when to write one, which framework to choose (Triton, CuTe DSL ... | **unknown** | — | 1 Accelerator · Optimize / Diagnose / Configure / Verify | 1 · Systems sources (Dao-AILab/causal-conv1d @ `cd81f0413cad2fc1e6f17e785ac39f59aae690cd` ...)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (huggingface/transformers @ `0dad7b822255a0ae261ec45ae937371e859ffd1a` ...)
1 · Systems sources (mindspore-ai/akg @ `5aa15f3fe4d856eb60cd3b27447e04f5f1fb4dff` ...)
1 · Systems sources (sgl-project/sglang @ `16176278d0180f1a1a578e53e6eef432577876c2` ...)
1 · Systems sources (vllm-project/vllm @ `537a79f0fc5ba564d2bef43d54915b2f80f9f77d` (root ...) | candidate · not_run · 7 readset(s) | no-applicability, no-eval |
-| [optimization-search-policy](../src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md) | common | Policy for how an optimization agent should select, order, and stop optimization experiments. Covers candidate ... | **unknown** | — | 1 Accelerator · Optimize | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (RRSI — arXiv 2609.24972v3)
2 · Methodology and corpus references (arXiv 2608.01867 (CRISP))
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 7 readset(s) | no-applicability, no-eval |
-| [performance-ceiling-analysis](../src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md) | common | Estimate optimization headroom before modifying an inference system. Produces a three-level ceiling model (analytical ... | inference serving systems (LLM, diffusion, audio) | — | 1 Accelerator · Diagnose / Verify
5 OS · Configure | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ebugger/Empirical-Roofline-Toolkit @ 0771fa9)
1 · Systems sources (hahnyuan/LLM-Viewer @ 1893e4b) | candidate · not_run · 16 readset(s) | no-eval |
+| [optimization-search-policy](../src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md) | common | Policy for how an optimization agent should select, order, and stop optimization experiments. Covers candidate ... | **unknown** | — | 1 Accelerator · Optimize | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (RRSI — arXiv 2609.24972v3)
2 · Methodology and corpus references (arXiv 2608.01867 (CRISP))
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 9 readset(s) | no-applicability, no-eval |
+| [performance-ceiling-analysis](../src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md) | common | Estimate optimization headroom before modifying an inference system. Produces a three-level ceiling model (analytical ... | inference serving systems (LLM, diffusion, audio) | — | 1 Accelerator · Diagnose / Verify
5 OS · Configure | 1 · Systems sources (Mooncake — FAST '25 proceedings, pp. 155-170)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ebugger/Empirical-Roofline-Toolkit @ 0771fa9)
1 · Systems sources (hahnyuan/LLM-Viewer @ 1893e4b) | candidate · not_run · 17 readset(s) | no-eval |
| [plan-activation-residency](../src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md) | common | Propose training activation and gradient memory reductions by distinguishing lifetime reordering, address packing and ... | **unknown** | — | 1 Accelerator · Diagnose / Optimize / Verify | 1 · Systems sources (Checkmate — [1910.02653v3](https://arxiv.org/abs/1910.02653v3)) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
| [repository-evolution-analysis](../src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md) | common | Analyze a repository's commit history to build a capability-evolution model: what the system can do, how it got there ... | any software repository with a recoverable git history | — | — | 2 · Methodology and corpus references (LearningToCommit/LearningToCommit @ 7e5a1d7)
2 · Methodology and corpus references (yetone/magpie @ 77800032) | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-eval |
| [skill-evolution-playbook](../src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md) | common | Practical design choices for evolving agent skills from execution traces: when one trajectory should update a skill ... | **unknown** | — | — | 2 · Methodology and corpus references (Qwen-Applications/Trace2Skill @ 3d0b52a)
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-applicability, no-eval |
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
index 17eb1bbdb..bb8cf2829 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
@@ -15,7 +15,7 @@ These are knowledge abstracts (`--kind knowledge`), with namespaced package
IDs distinct from explicitly selected `checkout_ref` skills. Ascend/CUDA
procedures use their corresponding backend; shared methods use `common`.
-Source snapshot: [4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937](https://github.com/InferMatrixLab/InferRSI/tree/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library).
+Source snapshot: [b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff](https://github.com/InferMatrixLab/InferRSI/tree/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library).
```bash
inferrsi knowledge search 'profiling' --repo-type inferrsi --limit 50
@@ -29,7 +29,7 @@ contain the current input paths and bytes (Git checkout filters are respected).
```bash
python tools/build_skill_index.py --source-revision
-python tools/build_skill_index.py --source-revision 4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937 --check
+python tools/build_skill_index.py --source-revision b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff --check
```
`--check` detects missing, stale and unexpected generated records without writing.
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
index 014d43cc7..004352d8c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
index 8f750e7e1..9e7cf21d8 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
index 6500bc663..eeb502084 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
index 28a88470f..497c92d57 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
index 4b86f36fe..2908e0cbd 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
index 2e1571e3c..5a9cf7dc9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
index 5977f34a7..a93528a66 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
index 23c975452..81e19f95a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
index 195343dd3..ab89a7d78 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
index d2050908b..2d76c84d3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
index 996583711..9a20c198d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
index 88151c77c..3b161a0c3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
index ce3de0d66..e4f85b9d3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
index 52601e083..c324064f1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
index 25058f0c6..fc73da15f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
@@ -16,8 +16,8 @@
"sources": [
{
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- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
index 3f698e280..38ebe99bd 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
index 030f9674d..ccd833542 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
@@ -20,8 +20,8 @@
"sources": [
{
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- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
index 9d7bcef8d..f70d7612a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
@@ -29,8 +29,8 @@
"sources": [
{
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- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
index 73120a934..38a802deb 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
@@ -30,8 +30,8 @@
"sources": [
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- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
index affb5d3c1..23183b8a3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
@@ -23,8 +23,8 @@
"sources": [
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- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
"src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
index baa5669e6..d9ce199ee 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
@@ -26,8 +26,8 @@
"sources": [
{
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- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
index 1555f77c8..6b64c21f8 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
@@ -25,8 +25,8 @@
"sources": [
{
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- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
index a6c9949fb..fc3c4239e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
@@ -23,8 +23,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/LICENSE",
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
index 5e010a604..851ed1299 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
@@ -21,8 +21,8 @@
"sources": [
{
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- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
index 0a218705c..87a805902 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
@@ -23,8 +23,8 @@
"sources": [
{
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- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
"src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
index 2ae195cce..7aa7b39e1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
@@ -23,8 +23,8 @@
"sources": [
{
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- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
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"src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
index cd1d730b9..53bbf5f7f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
@@ -16,8 +16,8 @@
"sources": [
{
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- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
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"src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
index 19c124575..e371808ab 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
@@ -25,8 +25,8 @@
"sources": [
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- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
index bfcea8747..f40358411 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
index 76fe930fc..c67718736 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
index a5f87a646..5c1e42de5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
index 33affcd02..61f0f1782 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
index 0f201d0af..85d6fbd4b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/comfy-ui/LICENSE",
"src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
index e8d382fa6..34ff1262e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
index e2e2f6675..6acc7fe2f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
index 622fd60df..a2c25d544 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
index 9d54a8494..9d49d7703 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
index 79638f3a9..6e9403d96 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
index 2bd71bbdb..964f9eed4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
index 37ccc2a6e..ec0ea596d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/dwarfstar/LICENSE",
"src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
index 00eed0810..2301911f3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
index af4c90c93..1b922e282 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
index 5541d25cd..7468e13a7 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
index ba309cf9c..28708bdfc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
index 5c40a15bf..2c2efe4ab 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
"src/inferrsi/data/skill_library/repositories/husky/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
index 62f874d50..c663180d7 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
index 15633104f..ba9155cf5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/admission-drain-occupancy.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
index a7ea46778..551df3bb3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
@@ -39,8 +39,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/causal-conv1d-dispatch-state.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
index fcada890b..2669981dd 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
index ec6124e3e..eedd0ec5b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
index 98dec896c..5c49c1c3d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/lily/LICENSE",
"src/inferrsi/data/skill_library/repositories/lily/NOTICE.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
index f5253fbba..8b7c1b0b3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/lithos-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
index 803077fc2..0dc716d22 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
"src/inferrsi/data/skill_library/repositories/local-dream/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
index 3da22ba94..b84b3e758 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/mistral-rs/LICENSE",
"src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
index ff6f6fbbc..f6611beaf 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlc-llm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
index 658f9badc..3a76a3793 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
index 235b6ce84..57f67293d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
index 884f50bdd..3fe778b14 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
@@ -21,13 +21,15 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.json",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/references/distserve-phase-placement/README.md",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/references/distserve-phase-placement/source-record.json",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/INTEGRATION_NOTES.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/MECHANISMS.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/NEXT_GATE_LEADS.md",
@@ -36,7 +38,7 @@
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/updates/optimization-search-policy.md",
"src/inferrsi/data/skill_library/skill-index.json"
],
- "content_sha256": "164d5f67dcf3ec2dc0f93359da361777c00e7feab46503dfd14962b3957d488b"
+ "content_sha256": "0ba4ade1648764a7422f564abe2d4fc9f9a25b5943a6c70c81ce17b8e7fb48d9"
}
],
"index_type": "packaged-skill",
@@ -45,10 +47,12 @@
},
"checkout_ref": "checkout:optimization-search-policy",
"source_files": {
- "src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md": "164d5f67dcf3ec2dc0f93359da361777c00e7feab46503dfd14962b3957d488b",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md": "0ba4ade1648764a7422f564abe2d4fc9f9a25b5943a6c70c81ce17b8e7fb48d9",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.json": "f8448973cf1c9e506179c02c5e55bd804ea039b7276cf08071952f6c0be656ad",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.md": "2c2a8147001d24d1abc8672f15cf0ca759ae461b734413c8dcb7497634bb6821",
- "src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json": "e853aae5b69ebf08fad94b2f4e0ad757475b96e8527414d2c942151531dba133",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json": "d5aaaa4511c9287e1f3d1f07a25c36320a68cb35a5066778cbd3c2bbb5203c6a",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/references/distserve-phase-placement/README.md": "56e16efce447dfd4990a024ff1d6f7cb428f8e3e1f7b32a7e4d05f57139b836a",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/references/distserve-phase-placement/source-record.json": "21cc9562f1c19d6b57957c01b53e0adf8700d05ffaaa7764afe07c4da1284de1",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/INTEGRATION_NOTES.md": "157e74ba180426b279b548a729769f152bf18f9a78ffca4ebfcaf26b7d0c5292",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/MECHANISMS.md": "18bb2f5d7e52773c516420a142edfb531d0b9c822a2934d60f3234ac1cb9d40e",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/NEXT_GATE_LEADS.md": "16a264c7159f9c2c700ce8ba46e63f3e636b277c987da4970f6d2fa085fcb053",
@@ -74,6 +78,26 @@
"external"
],
"empirical_validation": "not_run",
+ "sources": [
+ {
+ "type": "paper",
+ "id": "usenix:osdi24:zhong-yinmin",
+ "version": "OSDI 24 proceedings, July 2024, pages 193-210",
+ "url": "https://www.usenix.org/conference/osdi24/presentation/zhong-yinmin",
+ "sections": [
+ "3.3",
+ "4.1-4.2",
+ "6.1-6.5",
+ "7",
+ "Appendices A-C"
+ ],
+ "readset": "references/distserve-phase-placement/source-record.json"
+ },
+ {
+ "type": "unknown",
+ "scope": "Pre-existing sources remain in their original procedure/readsets; this amendment does not normalize that inventory"
+ }
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -85,7 +109,9 @@
"references/papers-20261015/NEXT_GATE_LEADS.md",
"references/papers-20261015/references/source-notes.md",
"references/papers-20261015/updates/optimization-search-policy.md",
- "cases/sarathi-chunk-budget.json"
+ "cases/sarathi-chunk-budget.json",
+ "references/distserve-phase-placement/README.md",
+ "references/distserve-phase-placement/source-record.json"
],
"references": [
"../inference-optimization-casebook/cases/qwen-b300-rejected-directions.md",
@@ -99,7 +125,9 @@
"cases/sarathi-chunk-budget.json",
"../../repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
"../assess-serving-preemption/SKILL.md",
- "../calibrate-serving-simulation/SKILL.md"
+ "../calibrate-serving-simulation/SKILL.md",
+ "../performance-ceiling-analysis/SKILL.md",
+ "../../repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md"
],
"consumption_mode": "packaged"
},
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
index be369d987..db1802db5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
index ce4ccf3db..8bdc181f8 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
@@ -22,11 +22,12 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json",
+ "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/mooncake-prefix-reuse-feasibility.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/papers-20261015/INTEGRATION_NOTES.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/papers-20261015/MECHANISMS.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/papers-20261015/README.md",
@@ -48,7 +49,7 @@
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/scripts/roofline.py",
"src/inferrsi/data/skill_library/skill-index.json"
],
- "content_sha256": "c5f78961c23e3c8d659f5675b522518ab06e1f2a8ea8bc74c5d428ffb41693d5"
+ "content_sha256": "4810761a3ab1e5e6e000060d9ad140a0e8892937486f2ab384d50868c22b0f11"
}
],
"index_type": "packaged-skill",
@@ -57,8 +58,9 @@
},
"checkout_ref": "checkout:performance-ceiling-analysis",
"source_files": {
- "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md": "c5f78961c23e3c8d659f5675b522518ab06e1f2a8ea8bc74c5d428ffb41693d5",
- "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json": "60b5b24ead590b0fb222398fba47822bf6723690da683e256a450bb5c0eeb806",
+ "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md": "4810761a3ab1e5e6e000060d9ad140a0e8892937486f2ab384d50868c22b0f11",
+ "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json": "3fcd2126846cf42ee77b1def39fc05ebfc54cf7428e0a6844b0ade1acf9f47ea",
+ "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/mooncake-prefix-reuse-feasibility.md": "e64b62fded4490708414a898f540b0319c54d2b205fd5d060acaab419734d100",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/papers-20261015/INTEGRATION_NOTES.md": "083e462e0a204dce599362d46712fcfb392d053c5cda56216e22e28d4b8fa0fa",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/papers-20261015/MECHANISMS.md": "742c249082ceca230326f4407a40130fe624553b796ae5a157a8a4c15a7e1398",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/papers-20261015/README.md": "17b2d1c7c14124d59ac8a0d5ad4200ad2803d991e784a1a98cd97188cc364999",
@@ -125,6 +127,19 @@
],
"type": "git",
"revision_precision": "prefix"
+ },
+ {
+ "type": "paper",
+ "id": "usenix:fast25-qin",
+ "version": "FAST '25 proceedings, February 25-27, 2025, pp. 155-170",
+ "url": "https://www.usenix.org/system/files/fast25-qin.pdf",
+ "content_sha256": "543e56c541523c5e807d2231370f96749b2294bc901266397a7265b18ae2c130",
+ "sections": [
+ "2.2, Table 1, Equations 1-2",
+ "3.1 and 5.3 (storage-scope limits only)"
+ ],
+ "readset": "references/mooncake-prefix-reuse-feasibility.md",
+ "license": "UNKNOWN"
}
],
"verification": {
@@ -151,9 +166,11 @@
],
"empirical_validation": "not_run",
"limitations": [
- "Source-derived candidate; no local efficacy validation."
+ "Source-derived candidate; no local efficacy validation.",
+ "Mooncake's prefix-reuse condition is an analytical approximation; current cache validity, placement, effective rates, overlap and SLO outcomes remain unverified."
],
"provenance_readsets": [
+ "references/mooncake-prefix-reuse-feasibility.md",
"references/papers-20261015/cases/decision-cases.md",
"references/papers-20261015/govern-optimization-experiments/procedure.md",
"references/papers-20261015/govern-optimization-experiments/references/source-notes.md",
@@ -187,7 +204,8 @@
"The imported status describes this index, not the original skill; its declared status is candidate.",
"Reading or indexing does not authorize execution, validate efficacy, promote a candidate or grant a license.",
"The backend categorizes the procedure's hardware dependency; it does not certify compatibility, and skills.discovery is a discovery scenario.",
- "Source-derived candidate; no local efficacy validation."
+ "Source-derived candidate; no local efficacy validation.",
+ "Mooncake's prefix-reuse condition is an analytical approximation; current cache validity, placement, effective rates, overlap and SLO outcomes remain unverified."
],
"verification": {
"locally_verified": false,
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
index 9930f57a6..defee5257 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
"src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
index f36e3e400..b66acf0ee 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/project-maya/LICENSE",
"src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
index 1ee505006..e0610e239 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
index cb164610b..9a5e1953f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
index 7c17c0bfc..577df1a19 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
index a1083e59f..8d2843e4e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/splash/LICENSE",
"src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
index 3521a2337..1490e7f2c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
index e8f8ec573..6de51b5d1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
index 2ff941969..6fa18cd42 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
index 195a83d5d..3db6ed71a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/assets/campaign.template.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
index d411f0b80..950bc634c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
index ec47de2b2..c964fcd72 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
index 65e0b4fb1..bfb303aef 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
index ab0efaca6..b45a5c730 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/LICENSE",
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
index 6b4116df9..2184f3923 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
index 16ee9e2b9..409fd2fe4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
index e44f9c001..dc5b2f294 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
@@ -36,8 +36,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
- "commit": "4fd6176b2fa64e1d502cd6fe95a9e9383f0b0937",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
+ "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/metadata.json",
From 14d5a51c1de1171490f10fc5ed7b00c1dd914b56 Mon Sep 17 00:00:00 2001
From: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Date: Mon, 2 Nov 2026 11:09:05 +0800
Subject: [PATCH 5/6] Regenerate hardware knowledge projections from merged
source
Refresh the shared skill index and coverage report from the committed source.
Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
---
docs/skill-coverage.md | 40 ++---
.../repo_packs/inferrsi/knowledge/README.md | 4 +-
.../ascend-aclgraph-capture-replay.json | 4 +-
.../ascend/skills/ascend-device-health.json | 4 +-
.../skills/ascend-distributed-parallel.json | 4 +-
.../ascend/skills/ascend-graph-mode.json | 4 +-
.../skills/ascend-model-adaptation.json | 4 +-
.../skills/ascend-operator-profiling.json | 4 +-
.../ascend/skills/ascend-operator-tuning.json | 4 +-
.../skills/ascend-optimization-casebook.json | 4 +-
.../skills/ascend-performance-analysis.json | 4 +-
.../ascend-video-diffusion-optimization.json | 4 +-
.../ascend/skills/ascendc-tiling-design.json | 4 +-
.../skills/cann-attribution-overlap.json | 4 +-
.../torchnpu-device-memory-lifecycle.json | 4 +-
...torchnpu-pinned-host-memory-lifecycle.json | 4 +-
.../skills/assess-serving-preemption.json | 49 ++++++-
.../assess-split-backward-schedule.json | 47 +++++-
.../skills/audit-fixed-workload-claim.json | 45 +++++-
.../audit-h3-metal-fasth3-semantics.json | 4 +-
.../skills/audit-h3-runtime-residency.json | 4 +-
.../skills/audit-llama-runtime-state.json | 4 +-
.../audit-recurrent-kv-finalization.json | 4 +-
.../common/skills/audit-sd-cpp-residency.json | 4 +-
.../audit-sglang-diffusion-lifetimes.json | 4 +-
.../skills/audit-vllm-kv-lifetimes.json | 4 +-
.../bound-windowed-attention-replay.json | 4 +-
.../budget-speculative-verification.json | 4 +-
.../skills/calibrate-serving-simulation.json | 47 +++++-
.../skills/cgroup-resource-controls.json | 4 +-
.../checkpoint-recovery-consistency.json | 51 ++++++-
.../skills/choose-parallel-training-plan.json | 47 +++++-
.../skills/cite-check-downstream-pr.json | 4 +-
.../common/skills/claim-contract.json | 4 +-
.../knowledge/common/skills/comfy-ui.json | 4 +-
.../common/skills/competitor-scan.json | 4 +-
.../skills/dcp-async-save-performance.json | 4 +-
.../skills/dense-performance-evidence.json | 47 +++++-
.../diagnose-vllm-admission-pressure.json | 4 +-
.../skills/diffusers-invocation-state.json | 4 +-
.../common/skills/draft-acceptance-issue.json | 4 +-
.../knowledge/common/skills/dwarfstar.json | 4 +-
.../evaluate-elastic-serving-placement.json | 47 +++++-
.../skills/generation-cache-lifecycle.json | 4 +-
.../common/skills/host-memory-management.json | 4 +-
.../skills/host-overhead-optimization.json | 4 +-
.../knowledge/common/skills/husky.json | 4 +-
.../skills/inference-benchmark-design.json | 137 ++++++++++++++++--
.../inference-optimization-casebook.json | 49 ++++++-
.../common/skills/kernel-writing-guide.json | 69 ++++++++-
.../common/skills/kv-tier-management.json | 4 +-
.../lazy-evaluation-stream-lifetimes.json | 4 +-
.../knowledge/common/skills/lily.json | 4 +-
.../knowledge/common/skills/lithos-metal.json | 4 +-
.../knowledge/common/skills/local-dream.json | 4 +-
.../knowledge/common/skills/mistral-rs.json | 4 +-
.../knowledge/common/skills/mlc-llm.json | 4 +-
.../knowledge/common/skills/mlx-swift-lm.json | 4 +-
.../common/skills/npu-skill-factory.json | 4 +-
.../skills/optimization-search-policy.json | 91 ++++++++----
.../common/skills/os-process-placement.json | 4 +-
.../skills/performance-ceiling-analysis.json | 33 ++++-
.../skills/plan-activation-residency.json | 49 ++++++-
.../knowledge/common/skills/project-maya.json | 4 +-
.../skills/repository-evolution-analysis.json | 4 +-
.../knowledge/common/skills/rsi-evidence.json | 4 +-
.../skills/skill-evolution-playbook.json | 51 ++++++-
.../knowledge/common/skills/splash.json | 4 +-
.../common/skills/storage-io-measurement.json | 4 +-
.../skills/training-input-pipeline.json | 51 ++++++-
.../skills/training-resource-budget.json | 51 ++++++-
.../skills/video-diffusion-optimization.json | 4 +-
.../knowledge/common/skills/vllm-metal.json | 4 +-
.../skills/weight-loading-optimization.json | 59 +++++++-
.../cuda/skills/audit-afd-p2p-exchanges.json | 4 +-
.../skills/audit-flare-session-lifecycle.json | 4 +-
.../diagnose-attention-bottlenecks.json | 4 +-
.../cuda/skills/host-overhead-profiling.json | 4 +-
.../cuda/skills/reason-hopper-kernels.json | 4 +-
79 files changed, 1022 insertions(+), 278 deletions(-)
diff --git a/docs/skill-coverage.md b/docs/skill-coverage.md
index b13029d7a..6d8c7a56c 100644
--- a/docs/skill-coverage.md
+++ b/docs/skill-coverage.md
@@ -4,7 +4,7 @@ Generated from the registry, the skill sidecars and the two maintained
matrices. **Do not edit by hand**; regenerate after any registry, skill,
matrix or frozen-plan change.
-- Input digest: `sha256:b11d38a7a822d1d0c52367d3572375b1212cac8a1dd3fa7bc5729884cd92b461`
+- Input digest: `sha256:f13646e6a8873ffb3a67c9695cf3cbaa2eaed2b17fb5f9d2e92a7a129fe46cfa`
- Regenerate: `python tools/build_skill_coverage.py`
- Verify without writing: `python tools/build_skill_coverage.py --check`
@@ -118,26 +118,26 @@ optimization is fully covered or that any procedure has measured benefit.
| Skill | Backend | Declared task | Applicability | Conditions | SearchSpace layer / stage | Reference Matrix | State | Gaps |
|---|---|---|---|---|---|---|---|---|
-| [assess-serving-preemption](../src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md) | common | Assess whether LLM serving queue delays justify token-boundary priority preemption, accounting for suspended KV, host ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize / Verify
2 RAM/Host · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Orca — OSDI 2022 proceedings) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [assess-split-backward-schedule](../src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md) | common | Evaluate memory-capped split-backward and V-shaped pipeline scheduling proposals, preserving synchronous update ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Zero Bubble — [2401.10241v1](https://arxiv.org/abs/2401.10241v1)) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [audit-fixed-workload-claim](../src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md) | common | Audit a performance claim from supplied fixed-workload reports and an explicit measurement contract. Check aggregation ... | **unknown** | — | — | — | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-Reference-Matrix-row, no-applicability, no-eval |
-| [calibrate-serving-simulation](../src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md) | common | Build an evidence-gated serving-configuration shortlist from a profiled simulator while separating empirical ... | **unknown** | — | 1 Accelerator · Diagnose / Verify | 1 · Systems sources (Vidur — [2405.05465v2](https://arxiv.org/abs/2405.05465v2)) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [checkpoint-recovery-consistency](../src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md) | common | Assess distributed checkpoint recovery using DLRover memory agreement, persistence completion and replica transport ... | **unknown** | — | 2 RAM/Host · Configure / Verify
3 SSD · Configure / Verify
4 Network · Diagnose / Configure / Verify
5 OS · Diagnose / Configure | 1 · Systems sources (C3 / DLRover FlashCheckpoint @ `e35b1ad90e2928ca6bacf5d22117f71356 ...)
1 · Systems sources (C4 / NVIDIA Resiliency Extension @ ...) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [choose-parallel-training-plan](../src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md) | common | Compare stage, device-mesh and operator-sharding candidates for static distributed training while accounting for ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize / Verify
4 Network · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Alpa — [2201.12023v3](https://arxiv.org/abs/2201.12023v3)) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [dense-performance-evidence](../src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md) | common | Taxonomy of performance evidence an optimization agent needs, ordered by collection cost and diagnostic power. Maps ... | **unknown** | — | 1 Accelerator · Observe / Profile / Verify
2 RAM/Host · Verify
4 Network · Verify | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 0 readset(s) | no-applicability |
-| [evaluate-elastic-serving-placement](../src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md) | common | Compare migrating an LLM request between model replicas with changing its sequence-parallel execution group, including ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize / Verify
2 RAM/Host · Diagnose / Configure / Optimize / Verify
4 Network · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Llumnix — [2406.03243v1](https://arxiv.org/abs/2406.03243v1)) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [inference-benchmark-design](../src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md) | common | Select task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents ... | **unknown** | — | — | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
Task-specific benchmark selection (issue #60) ([Issue #60 report](https://github.com/InferMatrixLab/InferRSI/issues/6 ...) | candidate · not_run · 2 readset(s) | no-SearchSpace-layer, no-applicability |
-| [inference-optimization-casebook](../src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md) | common | How to structure and use a casebook of past optimization decisions as a decision-support tool. Extracts the casebook ... | **unknown** | — | 1 Accelerator · Optimize | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd) | candidate · not_run · 0 readset(s) | no-applicability, no-eval |
-| [kernel-writing-guide](../src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md) | common | Decision guide for writing custom inference kernels: when to write one, which framework to choose (Triton, CuTe DSL ... | **unknown** | — | 1 Accelerator · Optimize / Diagnose / Configure / Verify | 1 · Systems sources (Dao-AILab/causal-conv1d @ `cd81f0413cad2fc1e6f17e785ac39f59aae690cd` ...)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (huggingface/transformers @ `0dad7b822255a0ae261ec45ae937371e859ffd1a` ...)
1 · Systems sources (mindspore-ai/akg @ `5aa15f3fe4d856eb60cd3b27447e04f5f1fb4dff` ...)
1 · Systems sources (sgl-project/sglang @ `16176278d0180f1a1a578e53e6eef432577876c2` ...)
1 · Systems sources (vllm-project/vllm @ `537a79f0fc5ba564d2bef43d54915b2f80f9f77d` (root ...) | candidate · not_run · 7 readset(s) | no-applicability, no-eval |
-| [optimization-search-policy](../src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md) | common | Policy for how an optimization agent should select, order, and stop optimization experiments. Covers candidate ... | **unknown** | — | 1 Accelerator · Optimize | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (RRSI — arXiv 2609.24972v3)
2 · Methodology and corpus references (arXiv 2608.01867 (CRISP))
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 9 readset(s) | no-applicability, no-eval |
-| [performance-ceiling-analysis](../src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md) | common | Estimate optimization headroom before modifying an inference system. Produces a three-level ceiling model (analytical ... | inference serving systems (LLM, diffusion, audio) | — | 1 Accelerator · Diagnose / Verify
5 OS · Configure | 1 · Systems sources (Mooncake — FAST '25 proceedings, pp. 155-170)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ebugger/Empirical-Roofline-Toolkit @ 0771fa9)
1 · Systems sources (hahnyuan/LLM-Viewer @ 1893e4b) | candidate · not_run · 17 readset(s) | no-eval |
-| [plan-activation-residency](../src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md) | common | Propose training activation and gradient memory reductions by distinguishing lifetime reordering, address packing and ... | **unknown** | — | 1 Accelerator · Diagnose / Optimize / Verify | 1 · Systems sources (Checkmate — [1910.02653v3](https://arxiv.org/abs/1910.02653v3)) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
+| [assess-serving-preemption](../src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md) | common | Assess whether LLM serving queue delays justify token-boundary priority preemption, accounting for suspended KV, host ... | Diagnosing whether LLM serving queue delay justifies token-boundary priority preemption ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Diagnose / Configure / Optimize / Verify
2 RAM/Host · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Orca — OSDI 2022 proceedings) | candidate · not_run · 1 readset(s) | no-eval |
+| [assess-split-backward-schedule](../src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md) | common | Evaluate memory-capped split-backward and V-shaped pipeline scheduling proposals, preserving synchronous update ... | Assessing memory-capped split-backward and V-shaped pipeline schedule proposals when a ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Zero Bubble — [2401.10241v1](https://arxiv.org/abs/2401.10241v1)) | candidate · not_run · 1 readset(s) | no-eval |
+| [audit-fixed-workload-claim](../src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md) | common | Audit a performance claim from supplied fixed-workload reports and an explicit measurement contract. Check aggregation ... | Auditing a performance claim against supplied fixed-workload reports and an explicit ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | — | — | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-Reference-Matrix-row, no-eval |
+| [calibrate-serving-simulation](../src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md) | common | Build an evidence-gated serving-configuration shortlist from a profiled simulator while separating empirical ... | Building an evidence-gated serving-configuration shortlist when a profiled simulator or ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Verify | 1 · Systems sources (Vidur — [2405.05465v2](https://arxiv.org/abs/2405.05465v2)) | candidate · not_run · 1 readset(s) | no-eval |
+| [checkpoint-recovery-consistency](../src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md) | common | Assess distributed checkpoint recovery using DLRover memory agreement, persistence completion and replica transport ... | Assessing distributed checkpoint recovery through DLRover memory agreement, persistence ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 2 RAM/Host · Configure / Verify
3 SSD · Configure / Verify
4 Network · Diagnose / Configure / Verify
5 OS · Diagnose / Configure | 1 · Systems sources (C3 / DLRover FlashCheckpoint @ `e35b1ad90e2928ca6bacf5d22117f71356 ...)
1 · Systems sources (C4 / NVIDIA Resiliency Extension @ ...) | candidate · not_run · 1 readset(s) | no-eval |
+| [choose-parallel-training-plan](../src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md) | common | Compare stage, device-mesh and operator-sharding candidates for static distributed training while accounting for ... | Comparing stage, device-mesh and operator-sharding candidates for static distributed ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Configure / Optimize / Verify
4 Network · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Alpa — [2201.12023v3](https://arxiv.org/abs/2201.12023v3)) | candidate · not_run · 1 readset(s) | no-eval |
+| [dense-performance-evidence](../src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md) | common | Taxonomy of performance evidence an optimization agent needs, ordered by collection cost and diagnostic power. Maps ... | Deciding which performance evidence to collect next and which claim each evidence level ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Observe / Profile / Verify
2 RAM/Host · Verify
4 Network · Verify | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 0 readset(s) | — |
+| [evaluate-elastic-serving-placement](../src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md) | common | Compare migrating an LLM request between model replicas with changing its sequence-parallel execution group, including ... | Comparing migration of a running LLM request between compatible model replicas with ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Configure / Optimize / Verify
2 RAM/Host · Diagnose / Configure / Optimize / Verify
4 Network · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Llumnix — [2406.03243v1](https://arxiv.org/abs/2406.03243v1)) | candidate · not_run · 1 readset(s) | no-eval |
+| [inference-benchmark-design](../src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md) | common | Select task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents ... | Selecting task quality gates, reference parity checks and performance workloads for text ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | — | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
Task-specific benchmark selection (issue #60) ([Issue #60 report](https://github.com/InferMatrixLab/InferRSI/issues/6 ...)
Task-specific benchmark selection (issue #60) ([NVIDIA/NeMo-Speech.cpp @ 20999cc9](https://github.com/NVIDIA/NeMo-Spe ...) | candidate · not_run · 5 readset(s) | no-SearchSpace-layer |
+| [inference-optimization-casebook](../src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md) | common | How to structure and use a casebook of past optimization decisions as a decision-support tool. Extracts the casebook ... | Structuring and querying a casebook of past optimization decisions as decision support ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Optimize | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd) | candidate · not_run · 0 readset(s) | no-eval |
+| [kernel-writing-guide](../src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md) | common | Decision guide for writing custom inference kernels: when to write one, which framework to choose (Triton, CuTe DSL ... | Deciding whether to write a custom inference kernel, routing a kernel pattern to Triton ... | failure_modes, input_contract, produced_artifact, refusal_point
6 advice | 1 Accelerator · Optimize / Diagnose / Configure / Verify | 1 · Systems sources (Dao-AILab/causal-conv1d @ `cd81f0413cad2fc1e6f17e785ac39f59aae690cd` ...)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (huggingface/transformers @ `0dad7b822255a0ae261ec45ae937371e859ffd1a` ...)
1 · Systems sources (mindspore-ai/akg @ `5aa15f3fe4d856eb60cd3b27447e04f5f1fb4dff` ...)
1 · Systems sources (sgl-project/sglang @ `16176278d0180f1a1a578e53e6eef432577876c2` ...)
1 · Systems sources (vllm-project/vllm @ `537a79f0fc5ba564d2bef43d54915b2f80f9f77d` (root ...) | candidate · not_run · 7 readset(s) | no-eval |
+| [optimization-search-policy](../src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md) | common | Policy for how an optimization agent should select, order, and stop optimization experiments. Covers candidate ... | Selecting, ordering and stopping optimization experiments: candidate generation ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Optimize | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (RRSI — arXiv 2609.24972v3)
2 · Methodology and corpus references (arXiv 2608.01867 (CRISP))
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 9 readset(s) | no-eval |
+| [performance-ceiling-analysis](../src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md) | common | Estimate optimization headroom before modifying an inference system. Produces a three-level ceiling model (analytical ... | inference serving systems (LLM, diffusion, audio) | — | 1 Accelerator · Diagnose / Verify
5 OS · Configure | 1 · Systems sources (FlexGen — [ICML 2023 / PMLR 202:31094–31116](https://proceedings.mlr.p ...)
1 · Systems sources (Mooncake — FAST '25 proceedings, pp. 155-170)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ebugger/Empirical-Roofline-Toolkit @ 0771fa9)
1 · Systems sources (hahnyuan/LLM-Viewer @ 1893e4b) | candidate · not_run · 18 readset(s) | no-eval |
+| [plan-activation-residency](../src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md) | common | Propose training activation and gradient memory reductions by distinguishing lifetime reordering, address packing and ... | Proposing training activation and gradient memory reductions when pressure appears to ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Optimize / Verify | 1 · Systems sources (Checkmate — [1910.02653v3](https://arxiv.org/abs/1910.02653v3)) | candidate · not_run · 1 readset(s) | no-eval |
| [repository-evolution-analysis](../src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md) | common | Analyze a repository's commit history to build a capability-evolution model: what the system can do, how it got there ... | any software repository with a recoverable git history | — | — | 2 · Methodology and corpus references (LearningToCommit/LearningToCommit @ 7e5a1d7)
2 · Methodology and corpus references (yetone/magpie @ 77800032) | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-eval |
-| [skill-evolution-playbook](../src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md) | common | Practical design choices for evolving agent skills from execution traces: when one trajectory should update a skill ... | **unknown** | — | — | 2 · Methodology and corpus references (Qwen-Applications/Trace2Skill @ 3d0b52a)
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-applicability, no-eval |
-| [training-input-pipeline](../src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md) | common | Diagnose training input stalls and choose bounded queue, shard-cache and cache-ownership changes from DALI, Mosaic ... | **unknown** | — | 1 Accelerator · Observe / Configure / Optimize
2 RAM/Host · Observe / Diagnose / Configure / Optimize
3 SSD · Diagnose / Configure / Optimize
4 Network · Configure / Optimize
5 OS · Configure / Optimize | 1 · Systems sources (B1 / NVIDIA DALI @ `6fe47c48d3b0ca335f5e1afd3c77c750b2c7e041` ...)
1 · Systems sources (B2 / Mosaic Streaming @ `d99bf9c7cdf2dd4ed62a4960ed35270b93337a5f` ...)
1 · Systems sources (B3 / FFCV @ `3a12966b3afe3a81733a732e633317d747bfaac7` ...) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [training-resource-budget](../src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md) | common | Choose training offload and resource-budget changes using pinned DeepSpeed configuration, attributed expert diagnosis ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize
2 RAM/Host · Observe / Diagnose / Configure / Optimize / Verify
3 SSD · Configure / Optimize
4 Network · Observe / Diagnose / Verify
5 OS · Diagnose / Configure | 1 · Systems sources (CR1 / DeepSpeed ZeRO-Infinity @ `5f266e26d216a705d9c64cac88fb813ce ...)
1 · Systems sources (CR5 / Ascend MindSpeed adaptive memory — historical `core_r0.8.0` ...)
1 · Systems sources (ZeRO-Offload — [2101.06840v1](https://arxiv.org/abs/2101.06840v1))
2 · Methodology and corpus references (CR6 / Stas Bekman ML Engineering Open Book @ ...) | candidate · not_run · 9 readset(s) | no-applicability, no-eval |
+| [skill-evolution-playbook](../src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md) | common | Practical design choices for evolving agent skills from execution traces: when one trajectory should update a skill ... | Design choices for evolving agent skills from execution traces, drawn from Trace2Skill ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | — | 2 · Methodology and corpus references (Qwen-Applications/Trace2Skill @ 3d0b52a)
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-eval |
+| [training-input-pipeline](../src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md) | common | Diagnose training input stalls and choose bounded queue, shard-cache and cache-ownership changes from DALI, Mosaic ... | Diagnosing training input stalls and choosing bounded queue, shard-cache and ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Observe / Configure / Optimize
2 RAM/Host · Observe / Diagnose / Configure / Optimize
3 SSD · Diagnose / Configure / Optimize
4 Network · Configure / Optimize
5 OS · Configure / Optimize | 1 · Systems sources (B1 / NVIDIA DALI @ `6fe47c48d3b0ca335f5e1afd3c77c750b2c7e041` ...)
1 · Systems sources (B2 / Mosaic Streaming @ `d99bf9c7cdf2dd4ed62a4960ed35270b93337a5f` ...)
1 · Systems sources (B3 / FFCV @ `3a12966b3afe3a81733a732e633317d747bfaac7` ...) | candidate · not_run · 1 readset(s) | no-eval |
+| [training-resource-budget](../src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md) | common | Choose training offload and resource-budget changes using pinned DeepSpeed configuration, attributed expert diagnosis ... | Choosing training offload and resource-budget changes from pinned DeepSpeed ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Diagnose / Configure / Optimize
2 RAM/Host · Observe / Diagnose / Configure / Optimize / Verify
3 SSD · Configure / Optimize
4 Network · Observe / Diagnose / Verify
5 OS · Diagnose / Configure | 1 · Systems sources (CR1 / DeepSpeed ZeRO-Infinity @ `5f266e26d216a705d9c64cac88fb813ce ...)
1 · Systems sources (CR5 / Ascend MindSpeed adaptive memory — historical `core_r0.8.0` ...)
1 · Systems sources (ZeRO-Offload — [2101.06840v1](https://arxiv.org/abs/2101.06840v1))
2 · Methodology and corpus references (CR6 / Stas Bekman ML Engineering Open Book @ ...) | candidate · not_run · 9 readset(s) | no-eval |
| [video-diffusion-optimization](../src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md) | common | Run and verify goal-driven video diffusion optimization, backend-agnostic. Use when the user asks for latency, RTF ... | Backend-agnostic video diffusion inference and serving optimization | — | — | — | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-Reference-Matrix-row, no-eval |
-| [weight-loading-optimization](../src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md) | common | Optimize the serving-level weight load path from storage to device: judge the load path on four dimensions (source ... | **unknown** | — | 1 Accelerator † guidance: Flare preparation and complete-session source contracts
2 RAM/Host † guidance: Flare preparation and complete-session source contracts
3 SSD · Observe / Profile / Diagnose / Optimize / Verify † guidance: Flare preparation and complete-session source contracts
4 Network · Configure / Optimize / Verify | 1 · Systems sources (Ascend/MindIE-SD @ 8481d39)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c)
1 · Systems sources (foundation-model-stack/fastsafetensors @ 219e256)
1 · Systems sources (ggml-org/llama.cpp @ `3e390af18de1131dda27913c00511725b4274c8a` (MIT ...)
1 · Systems sources (mindie-agent/mindie-agent @ 6a81b41) | candidate · not_run · 3 readset(s) | no-applicability, no-eval |
+| [weight-loading-optimization](../src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md) | common | Optimize the serving-level weight load path from storage to device: judge the load path on four dimensions (source ... | Diagnosing the serving-level weight load path from storage to device and choosing changes ... | failure_modes, input_contract, produced_artifact, refusal_point
5 advice | 1 Accelerator † guidance: Flare preparation and complete-session source contracts
2 RAM/Host † guidance: Flare preparation and complete-session source contracts
3 SSD · Observe / Profile / Diagnose / Optimize / Verify † guidance: Flare preparation and complete-session source contracts
4 Network · Configure / Optimize / Verify | 1 · Systems sources (Ascend/MindIE-SD @ 8481d39)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c)
1 · Systems sources (foundation-model-stack/fastsafetensors @ 219e256)
1 · Systems sources (ggml-org/llama.cpp @ `3e390af18de1131dda27913c00511725b4274c8a` (MIT ...)
1 · Systems sources (mindie-agent/mindie-agent @ 6a81b41) | candidate · not_run · 3 readset(s) | no-eval |
## Registered: Workflows (6)
@@ -221,7 +221,7 @@ an entrypoint routes to procedures below it rather than adding one.
| `no-SearchSpace-layer` | 15: ascend-video-diffusion-optimization, audit-fixed-workload-claim, audit-recurrent-kv-finalization, cite-check-downstream-pr, competitor-scan, draft-acceptance-issue, dwarfstar, husky, inference-benchmark-design, lily, npu-skill-factory, repository-evolution-analysis, skill-evolution-playbook, splash, video-diffusion-optimization |
| `no-Reference-Matrix-row` | 8: ascend-video-diffusion-optimization, audit-fixed-workload-claim, cite-check-downstream-pr, claim-contract, competitor-scan, draft-acceptance-issue, rsi-evidence, video-diffusion-optimization |
| `no-sidecar` | 0: — |
-| `no-applicability` | 21: as listed in the Gaps column above |
+| `no-applicability` | 4: audit-vllm-kv-lifetimes, dcp-async-save-performance, diagnose-vllm-admission-pressure, kv-tier-management |
| `no-eval` | 75: as listed in the Gaps column above |
These are inventory gaps, not defects. A workflow skill may legitimately
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
index bb8cf2829..1e9c00045 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
@@ -15,7 +15,7 @@ These are knowledge abstracts (`--kind knowledge`), with namespaced package
IDs distinct from explicitly selected `checkout_ref` skills. Ascend/CUDA
procedures use their corresponding backend; shared methods use `common`.
-Source snapshot: [b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff](https://github.com/InferMatrixLab/InferRSI/tree/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library).
+Source snapshot: [df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8](https://github.com/InferMatrixLab/InferRSI/tree/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library).
```bash
inferrsi knowledge search 'profiling' --repo-type inferrsi --limit 50
@@ -29,7 +29,7 @@ contain the current input paths and bytes (Git checkout filters are respected).
```bash
python tools/build_skill_index.py --source-revision
-python tools/build_skill_index.py --source-revision b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff --check
+python tools/build_skill_index.py --source-revision df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8 --check
```
`--check` detects missing, stale and unexpected generated records without writing.
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
index 004352d8c..8a836ce21 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
index 9e7cf21d8..13c800f04 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
index eeb502084..2faa2abb9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
index 497c92d57..64c45d637 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
index 2908e0cbd..4fb0a614f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
index 5a9cf7dc9..dc5703dd3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
index a93528a66..b064083ca 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
index 81e19f95a..36db6b787 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
index ab89a7d78..d11020201 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
index 2d76c84d3..57b53b670 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
index 9a20c198d..ef2826e30 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
index 3b161a0c3..76bcb7f06 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
index e4f85b9d3..4a5df7d45 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
index c324064f1..0dc3ee7ef 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
index fc73da15f..ffe9ad276 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json",
@@ -34,7 +34,7 @@
"checkout_ref": "checkout:assess-serving-preemption",
"source_files": {
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md": "0a5f48d9352c5bf460775ef47f9136829978811f4a16e84983e299782cae305d",
- "src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json": "77ce5ba16245cbd80d46d0abdf80aaf26fc0924fa2d2a5624ff430de68a1daf0",
+ "src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json": "3e2cea37f5669e7c60f7c01c390a48ea960b15cbd6de8f5340cf8fe2afb9e1a1",
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/references/source-notes.md": "f29fcecfba0490008a354c11b42403983fe165e56ff907ad61cc6040d2b6407f",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -50,6 +50,27 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Diagnosing whether LLM serving queue delay justifies token-boundary priority preemption, including suspended KV, host swap or recomputation and long-request service guarantees; admission-versus-service-order diagnosis, not current scheduler implementation or tenant-fairness certification",
+ "prerequisites": "The packaged source notes are read before quoting a metric or comparing a baseline; installing, benchmarking, changing scheduling or admission, migrating state, editing a repository or running a reproduction needs a separately authorized task",
+ "input_contract": "The late boundary (first token, token gap, completion or a stated cohort's service) with its exact percentile or attainment target and denominator; model and KV format, engine revision, safe interruption boundary, request batch limit, input/output/context distributions, arrival bursts, device live/reserved/allocated bytes, active and suspended requests, host budget, transfer path, recovery time and queue/phase/service timings; per-tenant or priority-class obligations kept apart from aggregate latency",
+ "produced_artifact": "A read-only decision naming the observed failure boundary, the smallest candidate that addresses it, unchanged assumptions, missing evidence, resource cost, affected cohorts, counter-signal and next authorized gate, plus a proposed verification plan; not a validated configuration",
+ "failure_modes": [
+ "An ordinary iteration boundary is taken to permit interrupting a prefill halfway through",
+ "Unknown output length is treated as known from the prompt",
+ "KV is counted for the running batch only, omitting started requests that are suspended",
+ "Reservations are removed because some reserved capacity is not live",
+ "Recompute-based eviction is proposed without a progress invariant, so two jobs can repeatedly displace each other",
+ "Host-device copies or same-host IPC are charged to Network instead of their local resource"
+ ],
+ "refusal_point": "Withholds a preemption recommendation when the apparent gain can be explained by different kernels, unmatched parallelism or an incomparable latency metric; unknown safe boundaries, unsupported state recovery, uncalibrated timing or unclear service obligations are blockers"
+ },
+ "recommendations": [
+ "Name the late boundary and its exact target and denominator before choosing among batching, admission, preemption and state recovery.",
+ "Send prefill interference to choose-prefill-decode-schedule and physical KV slack to diagnose-kv-block-efficiency when those candidates are available; otherwise report the diagnosed boundary and the missing evidence.",
+ "In a later authorized test, isolate service ordering first and state recovery second, and evaluate their interaction only after both are understood.",
+ "Weigh FastServe's same-engine FCFS comparison above its historical-vLLM headline, and do not read its P95 aggregate gain as a starvation or tenant-fairness guarantee."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -59,10 +80,26 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Diagnosing whether LLM serving queue delay justifies token-boundary priority preemption, including suspended KV, host swap or recomputation and long-request service guarantees; admission-versus-service-order diagnosis, not current scheduler implementation or tenant-fairness certification",
+ "prerequisites": "The packaged source notes are read before quoting a metric or comparing a baseline; installing, benchmarking, changing scheduling or admission, migrating state, editing a repository or running a reproduction needs a separately authorized task",
+ "input_contract": "The late boundary (first token, token gap, completion or a stated cohort's service) with its exact percentile or attainment target and denominator; model and KV format, engine revision, safe interruption boundary, request batch limit, input/output/context distributions, arrival bursts, device live/reserved/allocated bytes, active and suspended requests, host budget, transfer path, recovery time and queue/phase/service timings; per-tenant or priority-class obligations kept apart from aggregate latency",
+ "produced_artifact": "A read-only decision naming the observed failure boundary, the smallest candidate that addresses it, unchanged assumptions, missing evidence, resource cost, affected cohorts, counter-signal and next authorized gate, plus a proposed verification plan; not a validated configuration",
+ "failure_modes": [
+ "An ordinary iteration boundary is taken to permit interrupting a prefill halfway through",
+ "Unknown output length is treated as known from the prompt",
+ "KV is counted for the running batch only, omitting started requests that are suspended",
+ "Reservations are removed because some reserved capacity is not live",
+ "Recompute-based eviction is proposed without a progress invariant, so two jobs can repeatedly displace each other",
+ "Host-device copies or same-host IPC are charged to Network instead of their local resource"
+ ],
+ "refusal_point": "Withholds a preemption recommendation when the apparent gain can be explained by different kernels, unmatched parallelism or an incomparable latency metric; unknown safe boundaries, unsupported state recovery, uncalibrated timing or unclear service obligations are blockers"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Name the late boundary and its exact target and denominator before choosing among batching, admission, preemption and state recovery.",
+ "Send prefill interference to choose-prefill-decode-schedule and physical KV slack to diagnose-kv-block-efficiency when those candidates are available; otherwise report the diagnosed boundary and the missing evidence.",
+ "In a later authorized test, isolate service ordering first and state recovery second, and evaluate their interaction only after both are understood.",
+ "Weigh FastServe's same-engine FCFS comparison above its historical-vLLM headline, and do not read its P95 aggregate gain as a starvation or tenant-fairness guarantee."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
index 38ebe99bd..e7fc12687 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/metadata.json",
@@ -34,7 +34,7 @@
"checkout_ref": "checkout:assess-split-backward-schedule",
"source_files": {
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md": "1e64f28ea71672fb53c56f6108b87864738c6d03d6dcd32eedaef9e0625e96e3",
- "src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/metadata.json": "c6acae57d70190cea0e18c71c79127962181e58169e011df75d8635b3db4daa7",
+ "src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/metadata.json": "a089dd2c2e5a4b41e970e426c63b5b8f65acc77d2e5a40a44b38543b5d730a00",
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/references/source-notes.md": "61b1609f71c37b61d136b8c4d39f793de87cffb1cf31c8ec737a1c3fa6fb1b4e",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -49,6 +49,26 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Assessing memory-capped split-backward and V-shaped pipeline schedule proposals when a pipeline trace suggests input-gradient propagation waits behind deferrable weight-gradient work or an optimizer barrier, while preserving synchronous update, global-batch and optimizer-validation semantics",
+ "prerequisites": "The packaged evidence notes are read before citing the paper; installing or running frameworks, benchmarking schedules, changing training semantics, configuring hardware or modifying repositories needs separate authorization",
+ "input_contract": "Stage and microbatch counts, microbatch and global batch, precision, optimizer and clipping/NaN behavior; F, input-gradient B, weight-gradient W and transfer timings; per-pass retained and released bytes; total device peak and margin; collective ordering; kernel-splitting support; calculated bubble rate kept apart from measured idle time and useful samples/s",
+ "produced_artifact": "A candidate schedule and fallback with per-pass order rationale, peak-memory and transfer costs, unchanged semantic requirements, counter-signals and a future verification proposal; a reviewable plan, not an enabled schedule",
+ "failure_modes": [
+ "Completion of B is equated with releasing all activations, so W inputs retained by deferral go uncounted",
+ "The equal-time zero-bubble construction replaces observed F/B/W and transfer times, or kernel-splitting and synchronization overhead is left out",
+ "The schedule is chosen by minimum modeled bubble rate instead of whole-step throughput under the memory and quality constraint",
+ "pMB activation capacity is read as total memory, hiding HBM, workspace, buffers or per-rank imbalance",
+ "Removing the optimizer barrier drops global norm, clipping or NaN decisions, rollback and re-update, or the correctness of work that depends on a tentative update",
+ "Optimizer post-validation is conflated with accepting stale-gradient delayed updates"
+ ],
+ "refusal_point": "Withholds an enablement recommendation under frequent clipping/NaNs, small available memory, strongly unequal passes, unsupported split kernels, hidden collectives or dynamic shapes, and retains the synchronized fallback while optimizer reversibility and rollback coverage are unverified"
+ },
+ "recommendations": [
+ "Compare ordinary 1F1B with a memory-capped split schedule first; add V-shaped two-chunk placement only when memory permits, and at matched global batch also try smaller microbatches with more microbatches.",
+ "Decide optimizer post-validation separately from the schedule change.",
+ "In a later authorized comparison, hold model, global batch and precision fixed and compare real with calculated idle intervals."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -58,10 +78,25 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Assessing memory-capped split-backward and V-shaped pipeline schedule proposals when a pipeline trace suggests input-gradient propagation waits behind deferrable weight-gradient work or an optimizer barrier, while preserving synchronous update, global-batch and optimizer-validation semantics",
+ "prerequisites": "The packaged evidence notes are read before citing the paper; installing or running frameworks, benchmarking schedules, changing training semantics, configuring hardware or modifying repositories needs separate authorization",
+ "input_contract": "Stage and microbatch counts, microbatch and global batch, precision, optimizer and clipping/NaN behavior; F, input-gradient B, weight-gradient W and transfer timings; per-pass retained and released bytes; total device peak and margin; collective ordering; kernel-splitting support; calculated bubble rate kept apart from measured idle time and useful samples/s",
+ "produced_artifact": "A candidate schedule and fallback with per-pass order rationale, peak-memory and transfer costs, unchanged semantic requirements, counter-signals and a future verification proposal; a reviewable plan, not an enabled schedule",
+ "failure_modes": [
+ "Completion of B is equated with releasing all activations, so W inputs retained by deferral go uncounted",
+ "The equal-time zero-bubble construction replaces observed F/B/W and transfer times, or kernel-splitting and synchronization overhead is left out",
+ "The schedule is chosen by minimum modeled bubble rate instead of whole-step throughput under the memory and quality constraint",
+ "pMB activation capacity is read as total memory, hiding HBM, workspace, buffers or per-rank imbalance",
+ "Removing the optimizer barrier drops global norm, clipping or NaN decisions, rollback and re-update, or the correctness of work that depends on a tentative update",
+ "Optimizer post-validation is conflated with accepting stale-gradient delayed updates"
+ ],
+ "refusal_point": "Withholds an enablement recommendation under frequent clipping/NaNs, small available memory, strongly unequal passes, unsupported split kernels, hidden collectives or dynamic shapes, and retains the synchronized fallback while optimizer reversibility and rollback coverage are unverified"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Compare ordinary 1F1B with a memory-capped split schedule first; add V-shaped two-chunk placement only when memory permits, and at matched global batch also try smaller microbatches with more microbatches.",
+ "Decide optimizer post-validation separately from the schedule change.",
+ "In a later authorized comparison, hold model, global batch and precision fixed and compare real with calculated idle intervals."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
index ccd833542..ef5e03955 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
@@ -20,8 +20,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json",
@@ -37,7 +37,7 @@
"checkout_ref": "checkout:audit-fixed-workload-claim",
"source_files": {
"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md": "2be89b1340a3deb978c8e1792d18aeecbe8f5de81d4daf542389f53826b8ebee",
- "src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json": "81edd75fa16939807548d0944e9203cfd7c0cb17e63463872d96ca2c1273d1d8",
+ "src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json": "d36e8a6148b7ab830f1ddf6e573a865965502709a835ce460c37e3d4c386de95",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -53,14 +53,47 @@
"measurement"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Auditing a performance claim against supplied fixed-workload reports and an explicit measurement contract: aggregation, retained observations, comparability and quality evidence",
+ "input_contract": "Baseline and candidate fixed-workload reports with request observations grouped by trial and workload; the measurement contract stating metric, unit, timing boundary, improvement direction, aggregation rule and order, fixed exclusions, threshold and comparison operator; the declared quality and completion evidence; the requested output schema",
+ "produced_artifact": "An audit conclusion showing baseline and candidate aggregates, the calculation, the threshold comparison and the evidence or missing information that controls the verdict; it interprets supplied evidence and does not itself establish a measured improvement",
+ "failure_modes": [
+ "A pooled request median silently replaces a median of per-trial means, or the reverse, reweighting trials whose request counts differ",
+ "Late requests, failures or outliers are dropped, or requests move between trials, outside the exclusions the contract fixes",
+ "Values are rounded before the threshold comparison",
+ "A missing rule that permits different verdicts is resolved toward the favorable one",
+ "A speed improvement is read as task success, or a quality pass as equivalent measured work",
+ "Different workloads or incomplete observations are repaired by a favorable aggregate"
+ ],
+ "refusal_point": "Does not replace missing evidence with a pass, does not support a percentage claim on an undefined denominator, and does not launch a new benchmark or alter the contract to resolve an unfavorable result; a failed threshold is reported apart from an unverified comparison or missing quality evidence"
+ },
+ "recommendations": [
+ "Recover the contract's metric, direction, aggregation order and comparison operator before reading the report's own verdict.",
+ "Treat a named minimum bound as >= and a maximum bound as <= unless the contract requires a strict comparison.",
+ "Keep separate regimes and metrics separate unless the contract defines their aggregation."
+ ],
"limitations": [
"Guidance for supplied reports; no local efficacy validation or measured performance gain is established."
]
},
- "applicability": {},
+ "applicability": {
+ "scope": "Auditing a performance claim against supplied fixed-workload reports and an explicit measurement contract: aggregation, retained observations, comparability and quality evidence",
+ "input_contract": "Baseline and candidate fixed-workload reports with request observations grouped by trial and workload; the measurement contract stating metric, unit, timing boundary, improvement direction, aggregation rule and order, fixed exclusions, threshold and comparison operator; the declared quality and completion evidence; the requested output schema",
+ "produced_artifact": "An audit conclusion showing baseline and candidate aggregates, the calculation, the threshold comparison and the evidence or missing information that controls the verdict; it interprets supplied evidence and does not itself establish a measured improvement",
+ "failure_modes": [
+ "A pooled request median silently replaces a median of per-trial means, or the reverse, reweighting trials whose request counts differ",
+ "Late requests, failures or outliers are dropped, or requests move between trials, outside the exclusions the contract fixes",
+ "Values are rounded before the threshold comparison",
+ "A missing rule that permits different verdicts is resolved toward the favorable one",
+ "A speed improvement is read as task success, or a quality pass as equivalent measured work",
+ "Different workloads or incomplete observations are repaired by a favorable aggregate"
+ ],
+ "refusal_point": "Does not replace missing evidence with a pass, does not support a percentage claim on an undefined denominator, and does not launch a new benchmark or alter the contract to resolve an unfavorable result; a failed threshold is reported apart from an unverified comparison or missing quality evidence"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Recover the contract's metric, direction, aggregation order and comparison operator before reading the report's own verdict.",
+ "Treat a named minimum bound as >= and a maximum bound as <= unless the contract requires a strict comparison.",
+ "Keep separate regimes and metrics separate unless the contract defines their aggregation."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
index f70d7612a..abc757f5e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
index 38a802deb..976a2648d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
index 23183b8a3..8f92d0907 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
"src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
index d9ce199ee..fd1d8318c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
index 6b64c21f8..7b19edaa1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
index fc3c4239e..ffc19ae40 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/LICENSE",
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
index 851ed1299..00daeb74d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
index 87a805902..e203d1262 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
"src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
index 7aa7b39e1..ea9644ef4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
"src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
index 53bbf5f7f..1f75e0bb6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
"src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/metadata.json",
@@ -34,7 +34,7 @@
"checkout_ref": "checkout:calibrate-serving-simulation",
"source_files": {
"src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md": "ac773c6f1c110a664dfca28a3ae9129b10c07614e60ca3640dea776220e7b352",
- "src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/metadata.json": "261ce9f644ea6eebb90c830f41fb8b320d2b401456e5bd8d494095a44b8620d0",
+ "src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/metadata.json": "96771fb6fecf5fc7773bb7cf84038d8eaf436add1a0362dc26110c82037f8320",
"src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/references/source-notes.md": "9696d3c0ef96b6611787446bd6f96d4d6255ca8d107105de8c1d9af83edb9fa5",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -63,6 +63,26 @@
"readset": "references/source-notes.md"
}
],
+ "applicability": {
+ "scope": "Building an evidence-gated serving-configuration shortlist when a profiled simulator or cost model is proposed to reduce deployment experiments; extends performance-ceiling-analysis, optimization-search-policy and inference-benchmark-design without replacing their ceilings or measurement contract",
+ "prerequisites": "The packaged Vidur evidence and evidence-type notes are read; reading the skill does not authorize execution, and no validation check runs under it without separate execution authorization",
+ "input_contract": "Model, shape and dtype; actual kernel/runtime revision; graph mode; GPU, host and topology; request length and arrival distribution; total resources and cost basis; memory limits; latency definitions and percentile SLOs",
+ "produced_artifact": "A bounded decision memo with input identities, model assumptions, evidence type, exact metrics and denominators, unsupported dimensions, nondominated candidates with predicted ranges, joint constraint checks, the next discriminating trial and rollback/finalization requirements, keeping prediction and measurement columns apart; a shortlist for future measurement, not a measured result",
+ "failure_modes": [
+ "Learned runtime output is labeled a physical bound",
+ "A missing identity is filled with a paper default, or topology is substituted, instead of being marked unknown",
+ "A low-load check stands in for an SLO claim at the intended load regime and capacity boundary",
+ "A predictor that relies on summed KV volume hides batches with equal volume but unequal context distributions",
+ "Capacity binary search is applied without verifying its monotonic/stationary premise or treating overloaded samples explicitly",
+ "One predicted winner is reported when uncertainty exceeds rank separation"
+ ],
+ "refusal_point": "Stops predictive certification when profiles are missing, topology is substituted, error grows near capacity or host overhead is omitted; labels an ordering unresolved when uncertainty exceeds rank separation; asserts neither universal error below 9% nor current vLLM, asynchronous PP or NPU support from the historical simulator paper"
+ },
+ "recommendations": [
+ "Classify every estimate as a physical bound, measured envelope, Amdahl-style conditional impact or empirical prediction before comparing configurations.",
+ "Keep prefill and decode separate in the operator signatures, and record how sharding and memory planning enter the model.",
+ "Recalibrate after workload drift, kernel/graph/runtime changes, new hardware or topology, or mismatched residuals."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation."
],
@@ -71,10 +91,25 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Building an evidence-gated serving-configuration shortlist when a profiled simulator or cost model is proposed to reduce deployment experiments; extends performance-ceiling-analysis, optimization-search-policy and inference-benchmark-design without replacing their ceilings or measurement contract",
+ "prerequisites": "The packaged Vidur evidence and evidence-type notes are read; reading the skill does not authorize execution, and no validation check runs under it without separate execution authorization",
+ "input_contract": "Model, shape and dtype; actual kernel/runtime revision; graph mode; GPU, host and topology; request length and arrival distribution; total resources and cost basis; memory limits; latency definitions and percentile SLOs",
+ "produced_artifact": "A bounded decision memo with input identities, model assumptions, evidence type, exact metrics and denominators, unsupported dimensions, nondominated candidates with predicted ranges, joint constraint checks, the next discriminating trial and rollback/finalization requirements, keeping prediction and measurement columns apart; a shortlist for future measurement, not a measured result",
+ "failure_modes": [
+ "Learned runtime output is labeled a physical bound",
+ "A missing identity is filled with a paper default, or topology is substituted, instead of being marked unknown",
+ "A low-load check stands in for an SLO claim at the intended load regime and capacity boundary",
+ "A predictor that relies on summed KV volume hides batches with equal volume but unequal context distributions",
+ "Capacity binary search is applied without verifying its monotonic/stationary premise or treating overloaded samples explicitly",
+ "One predicted winner is reported when uncertainty exceeds rank separation"
+ ],
+ "refusal_point": "Stops predictive certification when profiles are missing, topology is substituted, error grows near capacity or host overhead is omitted; labels an ordering unresolved when uncertainty exceeds rank separation; asserts neither universal error below 9% nor current vLLM, asynchronous PP or NPU support from the historical simulator paper"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Classify every estimate as a physical bound, measured envelope, Amdahl-style conditional impact or empirical prediction before comparing configurations.",
+ "Keep prefill and decode separate in the operator signatures, and record how sharding and memory planning enter the model.",
+ "Recalibrate after workload drift, kernel/graph/runtime changes, new hardware or topology, or mismatched residuals."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
index e371808ab..073b889d8 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
index f40358411..d8cd9e3c3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json",
@@ -41,7 +41,7 @@
"checkout_ref": "checkout:checkpoint-recovery-consistency",
"source_files": {
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md": "6b7db1eb2780dec27858cb7aa0a3c093c5b5dfa4c30261aebfeaa255213ff688",
- "src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json": "4dc8659806539b4784ea9348a01d4194ac70d0bb297a916f90ff6419efa5c328",
+ "src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json": "4185ff9f8b4c06d2a984753127780f29ceebf50d87b225a7697bfecccc2a4a60",
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/references/dlrover-persistence-replicas.md": "055f4357f79026fcbcc766bbe77db610376ec353623f8898f5d14a30ee69e7bc",
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/references/sources.md": "9425b1aab963a2c8d35f3db897bd15ee69699bf5b0d0c8425c3c8bba3e9a0233",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
@@ -64,6 +64,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Assessing distributed checkpoint recovery through DLRover memory agreement, persistence completion and replica transport, and NVIDIA Resiliency Extension complete-iteration selection; distinguishes worker, host and replica loss and separates queued saves, publication, application-state validity and durable recovery. Save performance belongs to dcp-async-save-performance",
+ "prerequisites": "The pinned sources and limits are read; reading authorizes no launchers, failure injection or checkpoint loading, and restore evidence needs separate authorization",
+ "input_contract": "The declared failure domain; actual memory, storage and replica placement and helper lifetime; step or iteration identity, the expected shard/rank set and finalization result; the application's model, optimizer and caller-required RNG/scheduler/data-position state contract; the target environment's format and world-size/replication assumptions",
+ "produced_artifact": "An answer to each of the four acceptance questions (snapshot survival, cross-participant completeness, application-state completeness, restorability) at its own evidence level, a proposed per-generation recovery evidence record including errors and skipped saves, and a proposed verification split by worker, host, replica and persistent-storage loss; no recovery success, durability, NPU support or measured gain",
+ "failure_modes": [
+ "Equal steps or complete rank IDs are taken to verify tensor contents or whole application semantics",
+ "A skipped save, where not every participant acquired shared-memory access, is reported as a new recovery point",
+ "A returned step paired with an empty state dictionary is read as a successful restore",
+ "A local maximum filename or one clean shard substitutes for global coverage",
+ "The .dirty-then-rename publication is read as power-loss durability",
+ "An asynchronous save request is treated as a completed checkpoint, or queue concurrency is assumed unlimited",
+ "One failure domain is tested and recovery from all of them is claimed"
+ ],
+ "refusal_point": "Claims no recovery success, durability, NPU support or measured gain, does not upgrade allocation, metadata or a completed collective into proven recovery, and neither injects failures nor authorizes them"
+ },
+ "recommendations": [
+ "Answer the four acceptance questions separately; record each at its own evidence level.",
+ "Count replication as added availability only when copies occupy independent failure domains, and budget clean, dirty and replicated shards on each host.",
+ "Keep the one-outstanding asynchronous save restriction until the target queue version is checked.",
+ "Send save-throughput questions to dcp-async-save-performance; a faster return or higher write throughput does not establish recoverability."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -73,10 +95,27 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Assessing distributed checkpoint recovery through DLRover memory agreement, persistence completion and replica transport, and NVIDIA Resiliency Extension complete-iteration selection; distinguishes worker, host and replica loss and separates queued saves, publication, application-state validity and durable recovery. Save performance belongs to dcp-async-save-performance",
+ "prerequisites": "The pinned sources and limits are read; reading authorizes no launchers, failure injection or checkpoint loading, and restore evidence needs separate authorization",
+ "input_contract": "The declared failure domain; actual memory, storage and replica placement and helper lifetime; step or iteration identity, the expected shard/rank set and finalization result; the application's model, optimizer and caller-required RNG/scheduler/data-position state contract; the target environment's format and world-size/replication assumptions",
+ "produced_artifact": "An answer to each of the four acceptance questions (snapshot survival, cross-participant completeness, application-state completeness, restorability) at its own evidence level, a proposed per-generation recovery evidence record including errors and skipped saves, and a proposed verification split by worker, host, replica and persistent-storage loss; no recovery success, durability, NPU support or measured gain",
+ "failure_modes": [
+ "Equal steps or complete rank IDs are taken to verify tensor contents or whole application semantics",
+ "A skipped save, where not every participant acquired shared-memory access, is reported as a new recovery point",
+ "A returned step paired with an empty state dictionary is read as a successful restore",
+ "A local maximum filename or one clean shard substitutes for global coverage",
+ "The .dirty-then-rename publication is read as power-loss durability",
+ "An asynchronous save request is treated as a completed checkpoint, or queue concurrency is assumed unlimited",
+ "One failure domain is tested and recovery from all of them is claimed"
+ ],
+ "refusal_point": "Claims no recovery success, durability, NPU support or measured gain, does not upgrade allocation, metadata or a completed collective into proven recovery, and neither injects failures nor authorizes them"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Answer the four acceptance questions separately; record each at its own evidence level.",
+ "Count replication as added availability only when copies occupy independent failure domains, and budget clean, dirty and replicated shards on each host.",
+ "Keep the one-outstanding asynchronous save restriction until the target queue version is checked.",
+ "Send save-throughput questions to dcp-async-save-performance; a faster return or higher write throughput does not establish recoverability."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
index c67718736..cf2d5a1fe 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json",
@@ -34,7 +34,7 @@
"checkout_ref": "checkout:choose-parallel-training-plan",
"source_files": {
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md": "25d04aed9782b2a8ff1186828becdc7fce93c4418039ceaef9b8dcc5ec9bcd24",
- "src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json": "c6acae57d70190cea0e18c71c79127962181e58169e011df75d8635b3db4daa7",
+ "src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json": "4990d0a2f1a269111a680f45a5d91221af37e3f8b3ce514fea84e97878e767cd",
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/references/source-notes.md": "9f9184d46b19312138a6e805e439e43dc0594a0cc6b46675255a582dc946ca5b",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -49,6 +49,26 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Comparing stage, device-mesh and operator-sharding candidates for static distributed training when heterogeneous stage memory or work, or communication cost, makes a uniform data/tensor/pipeline plan suspect; derived from historical Alpa, not a current compiler configuration guide",
+ "prerequisites": "The packaged source notes are read; the skill authorizes no compiler or solver install or run, parallelism reconfiguration, repository edit, hardware task or benchmark",
+ "input_contract": "Model operator graph and shapes; global batch, microbatch and accumulation; precision and optimizer; physical links and contention; candidate shard layouts; stage latency, workspace and in-flight activation memory; the objective and expected run length. A device count without topology is insufficient",
+ "produced_artifact": "The best supported candidate and a simpler fallback with a memory and critical-path ledger, planning cost and amortization, semantic invariants, counter-signals, missing evidence and a proposed matched comparison; a plan, not a reconfiguration",
+ "failure_modes": [
+ "Equal arithmetic work is taken to mean equal kernel time, carrying over Alpa's zero compute-cost simplification",
+ "Mean memory replaces the largest per-rank peak with multiple in-flight activation sets",
+ "Inter-stage transfer and microbatch count stay outside the objective, as in historical Alpa, without the gap being reported",
+ "Repeated slow-link sends to replicated destination tiles are not compared with one cross-mesh transfer plus local allgather",
+ "Inter-node Network traffic is merged with intra-node accelerator links",
+ "Static cost estimates are applied to dynamic shapes, asymmetric devices or changing communication contention"
+ ],
+ "refusal_point": "Rejects infeasible stage/mesh pairs, claims no global optimality outside the declared search space, and stops at the plan in paper-only mode"
+ },
+ "recommendations": [
+ "Keep a simple reference plan with the same training semantics and global batch as the comparison point.",
+ "Separate fixed-model scaling from model-size weak scaling before quoting a speedup; Alpa's 9.7x MoE ratio belongs to a specific weak-scaling workload, baseline and 25-Gbps cluster.",
+ "Weigh planning cost against the expected run length; a shorter job may not amortize it."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -58,10 +78,25 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Comparing stage, device-mesh and operator-sharding candidates for static distributed training when heterogeneous stage memory or work, or communication cost, makes a uniform data/tensor/pipeline plan suspect; derived from historical Alpa, not a current compiler configuration guide",
+ "prerequisites": "The packaged source notes are read; the skill authorizes no compiler or solver install or run, parallelism reconfiguration, repository edit, hardware task or benchmark",
+ "input_contract": "Model operator graph and shapes; global batch, microbatch and accumulation; precision and optimizer; physical links and contention; candidate shard layouts; stage latency, workspace and in-flight activation memory; the objective and expected run length. A device count without topology is insufficient",
+ "produced_artifact": "The best supported candidate and a simpler fallback with a memory and critical-path ledger, planning cost and amortization, semantic invariants, counter-signals, missing evidence and a proposed matched comparison; a plan, not a reconfiguration",
+ "failure_modes": [
+ "Equal arithmetic work is taken to mean equal kernel time, carrying over Alpa's zero compute-cost simplification",
+ "Mean memory replaces the largest per-rank peak with multiple in-flight activation sets",
+ "Inter-stage transfer and microbatch count stay outside the objective, as in historical Alpa, without the gap being reported",
+ "Repeated slow-link sends to replicated destination tiles are not compared with one cross-mesh transfer plus local allgather",
+ "Inter-node Network traffic is merged with intra-node accelerator links",
+ "Static cost estimates are applied to dynamic shapes, asymmetric devices or changing communication contention"
+ ],
+ "refusal_point": "Rejects infeasible stage/mesh pairs, claims no global optimality outside the declared search space, and stops at the plan in paper-only mode"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Keep a simple reference plan with the same training semantics and global batch as the comparison point.",
+ "Separate fixed-model scaling from model-size weak scaling before quoting a speedup; Alpa's 9.7x MoE ratio belongs to a specific weak-scaling workload, baseline and 25-Gbps cluster.",
+ "Weigh planning cost against the expected run length; a shorter job may not amortize it."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
index 5c1e42de5..13b85c877 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
index 61f0f1782..7e4c24ba0 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
index 85d6fbd4b..1c7442196 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/comfy-ui/LICENSE",
"src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
index 34ff1262e..cc6a48610 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
index 6acc7fe2f..a5e789ccc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
index a2c25d544..2b39329ee 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json",
@@ -38,7 +38,7 @@
"checkout_ref": "checkout:dense-performance-evidence",
"source_files": {
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md": "53cc1867a13f54d1006d50517dea8848869ca50df3f0cd610b2424cc8d18c933",
- "src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json": "a0d1e3b17140295510a764045d1b222e19be3a3406e6d1e7dddaad49ff474490",
+ "src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json": "041780985dcaf76809d29dc0d4e242359b17b6bcfaadab2d05674fa4699a5427",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -58,6 +58,26 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Deciding which performance evidence to collect next and which claim each evidence level supports, from correctness through microbenchmark, component profile, isolated scenario benchmark and multi-regime serving benchmark to a production A/B experiment; also structuring a measurement campaign",
+ "prerequisites": "Level 0 correctness evidence is collected before any performance measurement; a Level 5 experiment needs production infrastructure, traffic splitting and statistical power",
+ "input_contract": "The claim to be made or the question to answer, and the evidence already collected with its level, workload, hardware/software context and controls",
+ "produced_artifact": "The minimum evidence level each claim requires, the next evidence to collect under the escalation rule, and negative-result records with hypothesis, evidence level, the metric that did not improve, context and the reason if known; a classification of evidence, not a measurement",
+ "failure_modes": [
+ "An md5 match or a test pass is read as semantically correct output or as support for a performance claim",
+ "A microbenchmark improvement is reported as an inference throughput gain",
+ "Absolute kernel durations or single collective latencies are compared across devices or sessions",
+ "A win on one fixed workload or concurrency is generalized to production traffic",
+ "Worse metrics, per-task regressions or negative results are discarded, or a shared task budget is taken as equal total cost"
+ ],
+ "refusal_point": "Withholds any claim above the level its evidence reaches, leaves an unresolved source protocol or denominator mismatch unresolved, and lets neither upstream scores nor local packaging checks promote an InferRSI candidate"
+ },
+ "recommendations": [
+ "Collect Level 0 first and profile at Level 2 before implementing; escalate to Level 3 only after a promising Level 2 result, and to Level 4 only after a Level 3 win worth validating across regimes.",
+ "Collect a Level 1 microbenchmark only for an isolated-kernel question after Level 2 has confirmed that kernel is on the critical path.",
+ "For a Level 1 claim, pin input shape and dtype, exclude warmup, synchronize before timing, run at least 10 repetitions and report median and IQR; for a Level 3 claim, match hardware, software stack, model revision and inputs, run at least 3 repetitions and alternate A/B/A order.",
+ "Read the admission/drain occupancy case when interpreting finite service cohorts; phase-selected occupancy is not end-to-end gain."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -69,10 +89,25 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Deciding which performance evidence to collect next and which claim each evidence level supports, from correctness through microbenchmark, component profile, isolated scenario benchmark and multi-regime serving benchmark to a production A/B experiment; also structuring a measurement campaign",
+ "prerequisites": "Level 0 correctness evidence is collected before any performance measurement; a Level 5 experiment needs production infrastructure, traffic splitting and statistical power",
+ "input_contract": "The claim to be made or the question to answer, and the evidence already collected with its level, workload, hardware/software context and controls",
+ "produced_artifact": "The minimum evidence level each claim requires, the next evidence to collect under the escalation rule, and negative-result records with hypothesis, evidence level, the metric that did not improve, context and the reason if known; a classification of evidence, not a measurement",
+ "failure_modes": [
+ "An md5 match or a test pass is read as semantically correct output or as support for a performance claim",
+ "A microbenchmark improvement is reported as an inference throughput gain",
+ "Absolute kernel durations or single collective latencies are compared across devices or sessions",
+ "A win on one fixed workload or concurrency is generalized to production traffic",
+ "Worse metrics, per-task regressions or negative results are discarded, or a shared task budget is taken as equal total cost"
+ ],
+ "refusal_point": "Withholds any claim above the level its evidence reaches, leaves an unresolved source protocol or denominator mismatch unresolved, and lets neither upstream scores nor local packaging checks promote an InferRSI candidate"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Collect Level 0 first and profile at Level 2 before implementing; escalate to Level 3 only after a promising Level 2 result, and to Level 4 only after a Level 3 win worth validating across regimes.",
+ "Collect a Level 1 microbenchmark only for an isolated-kernel question after Level 2 has confirmed that kernel is on the critical path.",
+ "For a Level 1 claim, pin input shape and dtype, exclude warmup, synchronize before timing, run at least 10 repetitions and report median and IQR; for a Level 3 claim, match hardware, software stack, model revision and inputs, run at least 3 repetitions and alternate A/B/A order.",
+ "Read the admission/drain occupancy case when interpreting finite service cohorts; phase-selected occupancy is not end-to-end gain."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
index 9d49d7703..f6f112ca5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
index 6e9403d96..0a979ba2f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
index 964f9eed4..35771e841 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
index ec0ea596d..795573b60 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/dwarfstar/LICENSE",
"src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
index 2301911f3..f700286a4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json",
@@ -34,7 +34,7 @@
"checkout_ref": "checkout:evaluate-elastic-serving-placement",
"source_files": {
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md": "82d0099d3c33706f46c657d4fa7f76d3d486e019b36760d1de001921328a60cc",
- "src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json": "37379a4d4a058ca46da2b20a920dc01be9ec11e557c32b2332702ec76027f4b5",
+ "src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json": "091a3b95d1a8996b5ad917e7948efb4ed598e31c7163709377f8e9199cebfe26",
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/references/source-notes.md": "ea416831fd7d0874e06d0a76fb0c7196df53072b717673a0cdf635db6bfd917b",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -50,6 +50,26 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Comparing migration of a running LLM request between compatible model replicas with changing its sequence-parallel execution group, including state-copy, reservation, recomputation, interruption and priority costs, for cross-instance memory imbalance or highly variable long-context serving; not connector wiring or live scaling",
+ "prerequisites": "The relevant Llumnix or LoongServe branch and its readset in the packaged source notes are read; moving state, altering admission or priority, scaling replicas, changing parallelism, running experiments or editing frameworks needs separate authorization",
+ "input_contract": "Exact model and cache identity and format; weight residency; request phase, context and generated length; source and destination KV bytes; physical free/reserved memory and virtual accounting; batch state; current parallel group; queue and service times; actual topology and transport for each path; the target SLO statistic and affected priority or tenant cohorts",
+ "produced_artifact": "The smallest justified branch with missing capability or evidence, expected saved work or wait, added state, traffic and replica cost, affected SLO and cohorts, counter-signals, the proposed next gate and a future verification plan; an evidence-based recommendation, not a validated deployment rule",
+ "failure_modes": [
+ "Model-weight repartitioning, pipeline configuration, instance migration and sequence sharding are treated as interchangeable uses of parallelism",
+ "Aggregate free bytes are taken to mean a single blocked request fits, conflating internal KV-block slack with cross-instance fragmentation",
+ "Llumnix's 20-30 ms measured downtime is substituted for total transfer time",
+ "Virtual headroom is counted as extra memory or as a tenant-fairness guarantee",
+ "A zero-overhead transition label is read as every group change being free, or a token sum hides length-sensitive attention work",
+ "Ongoing distributed-attention communication goes uncharged because existing KV does not migrate"
+ ],
+ "refusal_point": "Withholds the candidate when every destination is full, pre-copy catch-up is unproven, model or cache compatibility is unknown, or the measured work saved does not exceed exposed costs; current-code review and target-system tests remain a later authorization gate"
+ },
+ "recommendations": [
+ "Decide first whether the question is replica relocation, a sequence-parallel group change, or prefix reuse and phase pools, which evaluate-kv-cache-transfer-gates and choose-prefill-decode-schedule cover when available.",
+ "Name each transfer path separately; only inter-node transport is Network.",
+ "Keep a feasible static, no-migration baseline in any later comparison."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -59,10 +79,25 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Comparing migration of a running LLM request between compatible model replicas with changing its sequence-parallel execution group, including state-copy, reservation, recomputation, interruption and priority costs, for cross-instance memory imbalance or highly variable long-context serving; not connector wiring or live scaling",
+ "prerequisites": "The relevant Llumnix or LoongServe branch and its readset in the packaged source notes are read; moving state, altering admission or priority, scaling replicas, changing parallelism, running experiments or editing frameworks needs separate authorization",
+ "input_contract": "Exact model and cache identity and format; weight residency; request phase, context and generated length; source and destination KV bytes; physical free/reserved memory and virtual accounting; batch state; current parallel group; queue and service times; actual topology and transport for each path; the target SLO statistic and affected priority or tenant cohorts",
+ "produced_artifact": "The smallest justified branch with missing capability or evidence, expected saved work or wait, added state, traffic and replica cost, affected SLO and cohorts, counter-signals, the proposed next gate and a future verification plan; an evidence-based recommendation, not a validated deployment rule",
+ "failure_modes": [
+ "Model-weight repartitioning, pipeline configuration, instance migration and sequence sharding are treated as interchangeable uses of parallelism",
+ "Aggregate free bytes are taken to mean a single blocked request fits, conflating internal KV-block slack with cross-instance fragmentation",
+ "Llumnix's 20-30 ms measured downtime is substituted for total transfer time",
+ "Virtual headroom is counted as extra memory or as a tenant-fairness guarantee",
+ "A zero-overhead transition label is read as every group change being free, or a token sum hides length-sensitive attention work",
+ "Ongoing distributed-attention communication goes uncharged because existing KV does not migrate"
+ ],
+ "refusal_point": "Withholds the candidate when every destination is full, pre-copy catch-up is unproven, model or cache compatibility is unknown, or the measured work saved does not exceed exposed costs; current-code review and target-system tests remain a later authorization gate"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Decide first whether the question is replica relocation, a sequence-parallel group change, or prefix reuse and phase pools, which evaluate-kv-cache-transfer-gates and choose-prefill-decode-schedule cover when available.",
+ "Name each transfer path separately; only inter-node transport is Network.",
+ "Keep a feasible static, no-migration baseline in any later comparison."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
index 1b922e282..adb41faf7 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
index 7468e13a7..e650ef5f6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
index 28708bdfc..1c9132951 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
index 2c2efe4ab..6e0bfb5ef 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
"src/inferrsi/data/skill_library/repositories/husky/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
index c663180d7..23de1269b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
@@ -8,7 +8,7 @@
"component": "skills",
"scenario": "skills.discovery",
"status": "imported",
- "summary": "Select task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents, TTS, full-duplex audio/video, image and video inference. Covers AIPerf AgentX/Exgentic replay, vLLM/SGLang benchmark boundaries, SLO-aware metrics and InferRSI integration.",
+ "summary": "Select task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents, cache-aware ASR, TTS, full-duplex audio/video, image and video inference. Covers AIPerf AgentX/Exgentic replay, vLLM/SGLang benchmark boundaries, SLO-aware metrics and InferRSI integration.",
"tags": [
"benchmark",
"evaluation",
@@ -22,7 +22,9 @@
"tts",
"full-duplex",
"image-generation",
- "video-generation"
+ "video-generation",
+ "asr",
+ "stream-boundaries"
],
"origin": [
"external"
@@ -30,16 +32,19 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/benchmark-commands.md",
+ "src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/cache-aware-asr-stream-boundaries.md",
+ "src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/justgoal-evaluation-contracts.md",
+ "src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/justgoal-source.json",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/task-benchmark-selection.md",
"src/inferrsi/data/skill_library/skill-index.json"
],
- "content_sha256": "59b5656e7d989b3cee8d6f95cd43be03053b1fb11c3a82bb49ab3d402f7aacee"
+ "content_sha256": "a977e81fb83e3e476f66dc97133f1a60a35983bdfaec538ad5063defda41d4b7"
}
],
"index_type": "packaged-skill",
@@ -48,15 +53,18 @@
},
"checkout_ref": "checkout:inference-benchmark-design",
"source_files": {
- "src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md": "59b5656e7d989b3cee8d6f95cd43be03053b1fb11c3a82bb49ab3d402f7aacee",
- "src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json": "18310402a8ade03fd48ac687f79ba9d447871e90337de84c0e1bc15c0b827306",
+ "src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md": "a977e81fb83e3e476f66dc97133f1a60a35983bdfaec538ad5063defda41d4b7",
+ "src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json": "3570ee36df8037c97c4692afe39316b62c0c91c28b2ea29ab9b72c5ae6740bb6",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/benchmark-commands.md": "0898424e0bff3a6246e1eeeda6abd6c5bd974c047fe32f3bbd5ab9d31ce17cd3",
+ "src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/cache-aware-asr-stream-boundaries.md": "4e0ea9c1bf6b096a49a91ad5266e90b8a456f4f5aca15eba8ac270a53c2309b5",
+ "src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/justgoal-evaluation-contracts.md": "d25df795fd301e8a1bb436e5f8122d0bac2441c43104e59a3b310fd5a64f2f3e",
+ "src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/justgoal-source.json": "60f2784384ea1a3b08a2ecafb60207d8e3707247dc7bc177b95b463d81f1cc16",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/task-benchmark-selection.md": "0d4bb080a754e26846e81680023db0dff5e6a4c96be4327c411c3b72ac4ef8e2",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
"name": "inference-benchmark-design",
- "description": "Select task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents, TTS, full-duplex audio/video, image and video inference. Covers AIPerf AgentX/Exgentic replay, vLLM/SGLang benchmark boundaries, SLO-aware metrics and InferRSI integration.",
+ "description": "Select task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents, cache-aware ASR, TTS, full-duplex audio/video, image and video inference. Covers AIPerf AgentX/Exgentic replay, vLLM/SGLang benchmark boundaries, SLO-aware metrics and InferRSI integration.",
"tags": [
"benchmark",
"evaluation",
@@ -70,7 +78,9 @@
"tts",
"full-duplex",
"image-generation",
- "video-generation"
+ "video-generation",
+ "asr",
+ "stream-boundaries"
],
"status": "candidate",
"profile": "local-skill-v1",
@@ -197,18 +207,95 @@
"src/inferrsi/model/protocols/metrics.py"
],
"readset": "references/task-benchmark-selection.md"
+ },
+ {
+ "type": "git",
+ "url": "https://github.com/NVIDIA/NeMo-Speech.cpp",
+ "commit": "20999cc921d2b14aa58708f61756a8b2e787ba20",
+ "paths": [
+ "BENCHMARK.md",
+ "LICENSE",
+ "NOTICE",
+ "THIRD_PARTY_NOTICES.md",
+ "src/asr/encoder/cache_aware_encoder.cpp",
+ "src/asr/encoder/cache_aware_encoder.h",
+ "src/asr/encoder/fastconformer.h",
+ "src/asr/recognizer.cpp",
+ "src/asr/runner.cpp",
+ "src/asr/runner.h",
+ "src/asr/vad/vad_endpointer.cpp",
+ "src/asr/vad/vad_endpointer.h",
+ "tests/cpp/asr/CMakeLists.txt",
+ "tests/cpp/asr/test_cache_stream_geometry.cpp"
+ ],
+ "readset": "references/cache-aware-asr-stream-boundaries.md"
+ },
+ {
+ "type": "git",
+ "url": "https://github.com/OpenBMB/JustGoal",
+ "commit": "f052fc0b28fc7f10b2ef1ae7aa4682aabbbe868d",
+ "paths": [
+ "LICENSE",
+ "NOTICE",
+ "README.md",
+ "goal_full_shape/fable-5.1/dsa_decode_fwd/dsa_sparse_attention_h16_ckv512_kpe64_topk2048_ps64/dsa_decode.cu",
+ "goal_full_shape/fable-5.1/dsa_decode_fwd/dsa_sparse_attention_h16_ckv512_kpe64_topk2048_ps64/main.py",
+ "goal_single_shape/fable-5.1/dsa_decode_fwd/t8_topk2048/dsa_kernel.cu",
+ "goal_single_shape/fable-5.1/dsa_decode_fwd/t8_topk2048/dsa_kernel.py",
+ "kda05_reproduction_full_shape/opus-4.8/fa4_bwd/attention_bwd_causal_h16_d128/cute_fabwd_bshd_v5c_fusedzero/helpers/NOT_INCLUDED.md"
+ ],
+ "readset": "references/justgoal-source.json",
+ "license": "Apache-2.0 repository default; NOTICE exceptions and excluded proprietary helper retained",
+ "scope": "Selected kernel entry/workspace/stream contracts and distribution boundary; source-only, no execution"
+ },
+ {
+ "type": "document",
+ "url": "https://github.com/OpenBMB/JustGoal/blob/f052fc0b28fc7f10b2ef1ae7aa4682aabbbe868d/paper.pdf",
+ "version": "Repository-paired PDF at f052fc0b28fc7f10b2ef1ae7aa4682aabbbe868d",
+ "sha256": "6bfa1a2728546def4c48e15cf55f31d92a543264787318f1522236c80a0ae8c6",
+ "readset": "references/justgoal-source.json",
+ "license": "UNKNOWN",
+ "scope": "Complete 21-page paper and appendices: controlled comparison, independent correctness, repair/coverage and timing evidence; author-reported, no PDF/figure redistribution"
}
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Selecting task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents, cache-aware ASR, TTS, full-duplex audio/video, image and video inference, and designing goodput-based multi-regime comparisons that fit InferRSI's evidence trail",
+ "prerequisites": "The primary objective, timing boundary, quality gates, sample/failure accounting, required regimes, repetitions, seeds and decision rule are frozen before optimization; baseline and candidate share hardware, software stack, input distribution, benchmark configuration, warmup and measurement protocol, and on a shared machine also one time window and dedicated devices; cache-aware ASR also requires the selected model/config and first/steady geometry, decoded clock and reset/EOU/EOF boundaries to be established",
+ "input_contract": "The task family and deployment use case; candidate quality evaluators and reference parity; the declared SLO and the caller's policy on which regimes must improve or must not regress; for an audit, a supplied fixed-workload report with request-to-trial grouping, exclusion and failure counts and the declared aggregation rule",
+ "produced_artifact": "A frozen benchmark design with evaluators, reference parity, primary objective, timing boundary, quality gates, required regimes, repetition and seed rules and an explicit decision config, plus the evidence-tree layout a PASS claim must produce; for a supplied report, the computed threshold result and missing evidence. Candidate knowledge, not qualification of any model or backend",
+ "failure_modes": [
+ "Raw throughput is optimized in place of goodput, so requests served outside the SLO count toward a win",
+ "One concurrency level or one undisclosed aggregate score stands in for all required regimes",
+ "Recorded agent task scores or replay completion are read as current task success, or a VBench prompt workload as computed VBench quality",
+ "An upstream better/worse/inconclusive label is used as InferRSI's PASS/FAIL/INCONCLUSIVE verdict",
+ "Runs on the same hardware class, in different time windows or on shared devices are compared as if pinned",
+ "A quality pass is taken to certify that the timed work actually occurred",
+ "Best-seen results are reported as delivered without restarting and validating the final code/config artifact",
+ "A cache-aware ASR EOU is treated as EOF or full reset, nominal chunk duration as the decoded mel frontier, or shape-only geometry PASS as a native model-state test"
+ ],
+ "refusal_point": "Records missing coverage and high-variance results as INCONCLUSIVE rather than a win; a run without a frozen RunSpec, or whose validator changed after the plan was frozen, is INCONCLUSIVE regardless of metric values; sets no universal numeric gate or noise threshold"
+ },
+ "recommendations": [
+ "Freeze one primary objective, timing boundary, quality gates and sample/failure accounting before optimization.",
+ "Choose the required regimes from the deployment use case, report each separately, and record which must improve or must not regress in a versioned decision config.",
+ "Use the replay trace that matches the actual deployment pattern.",
+ "State the concurrency, trace, model, SKU and microbenchmark scope boundaries in any report that cites benchmark results."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets.",
"Task benchmark knowledge is distilled from issue #60 with selected pinned-source rechecks; no all-task runtime qualification or optimization benefit is established.",
- "Benchmark feasibility and package-consumption checks do not promote this candidate or replace task quality, repeated A/B and service qualification."
+ "Benchmark feasibility and package-consumption checks do not promote this candidate or replace task quality, repeated A/B and service qualification.",
+ "The pinned NeMo-Speech.cpp ASR reference covers selected source/test definitions and author-reported benchmark boundaries; native model/device, decoder internals, quality, long-audio/load and service behavior remain not_run.",
+ "JustGoal contributes source-only controlled-evaluation and kernel-acceptance guidance; its repaired/retested timings, released-pass counts and protocol differences are author-reported, not locally reproduced or a complete campaign runner."
],
"provenance_readsets": [
"references/task-benchmark-selection.md",
- "references/benchmark-commands.md"
+ "references/benchmark-commands.md",
+ "references/cache-aware-asr-stream-boundaries.md",
+ "references/justgoal-evaluation-contracts.md",
+ "references/justgoal-source.json"
],
"references": [
"../inference-optimization-casebook/cases/admission-drain-occupancy.md",
@@ -216,10 +303,28 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Selecting task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents, cache-aware ASR, TTS, full-duplex audio/video, image and video inference, and designing goodput-based multi-regime comparisons that fit InferRSI's evidence trail",
+ "prerequisites": "The primary objective, timing boundary, quality gates, sample/failure accounting, required regimes, repetitions, seeds and decision rule are frozen before optimization; baseline and candidate share hardware, software stack, input distribution, benchmark configuration, warmup and measurement protocol, and on a shared machine also one time window and dedicated devices; cache-aware ASR also requires the selected model/config and first/steady geometry, decoded clock and reset/EOU/EOF boundaries to be established",
+ "input_contract": "The task family and deployment use case; candidate quality evaluators and reference parity; the declared SLO and the caller's policy on which regimes must improve or must not regress; for an audit, a supplied fixed-workload report with request-to-trial grouping, exclusion and failure counts and the declared aggregation rule",
+ "produced_artifact": "A frozen benchmark design with evaluators, reference parity, primary objective, timing boundary, quality gates, required regimes, repetition and seed rules and an explicit decision config, plus the evidence-tree layout a PASS claim must produce; for a supplied report, the computed threshold result and missing evidence. Candidate knowledge, not qualification of any model or backend",
+ "failure_modes": [
+ "Raw throughput is optimized in place of goodput, so requests served outside the SLO count toward a win",
+ "One concurrency level or one undisclosed aggregate score stands in for all required regimes",
+ "Recorded agent task scores or replay completion are read as current task success, or a VBench prompt workload as computed VBench quality",
+ "An upstream better/worse/inconclusive label is used as InferRSI's PASS/FAIL/INCONCLUSIVE verdict",
+ "Runs on the same hardware class, in different time windows or on shared devices are compared as if pinned",
+ "A quality pass is taken to certify that the timed work actually occurred",
+ "Best-seen results are reported as delivered without restarting and validating the final code/config artifact",
+ "A cache-aware ASR EOU is treated as EOF or full reset, nominal chunk duration as the decoded mel frontier, or shape-only geometry PASS as a native model-state test"
+ ],
+ "refusal_point": "Records missing coverage and high-variance results as INCONCLUSIVE rather than a win; a run without a frozen RunSpec, or whose validator changed after the plan was frozen, is INCONCLUSIVE regardless of metric values; sets no universal numeric gate or noise threshold"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Freeze one primary objective, timing boundary, quality gates and sample/failure accounting before optimization.",
+ "Choose the required regimes from the deployment use case, report each separately, and record which must improve or must not regress in a versioned decision config.",
+ "Use the replay trace that matches the actual deployment pattern.",
+ "State the concurrency, trace, model, SKU and microbenchmark scope boundaries in any report that cites benchmark results."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
@@ -229,7 +334,9 @@
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets.",
"Task benchmark knowledge is distilled from issue #60 with selected pinned-source rechecks; no all-task runtime qualification or optimization benefit is established.",
- "Benchmark feasibility and package-consumption checks do not promote this candidate or replace task quality, repeated A/B and service qualification."
+ "Benchmark feasibility and package-consumption checks do not promote this candidate or replace task quality, repeated A/B and service qualification.",
+ "The pinned NeMo-Speech.cpp ASR reference covers selected source/test definitions and author-reported benchmark boundaries; native model/device, decoder internals, quality, long-audio/load and service behavior remain not_run.",
+ "JustGoal contributes source-only controlled-evaluation and kernel-acceptance guidance; its repaired/retested timings, released-pass counts and protocol differences are author-reported, not locally reproduced or a complete campaign runner."
],
"verification": {
"locally_verified": false,
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
index ba9155cf5..c49e4bcc2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/admission-drain-occupancy.json",
@@ -54,7 +54,7 @@
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/qwen-ascend-rejected-directions.md": "be396983812262515899a3e2ba4f01b23ff92e1b836881882c7580372b8ae552",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/qwen-b300-rejected-directions.json": "146ea1564a46ed03092c7dc5796b318fc05b04b1821105ee00eb7fa7fa1333e2",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/qwen-b300-rejected-directions.md": "cce2930f544a0f78f21797fba4d8ded298e4a81f76c34d7977b0e31d361bc738",
- "src/inferrsi/data/skill_library/methods/inference-optimization-casebook/metadata.json": "fb55067fb45970319787068a3206110641cceaf0ccbabd706be6d0b3d2afc2ed",
+ "src/inferrsi/data/skill_library/methods/inference-optimization-casebook/metadata.json": "963488658f327d2379183d70357eabf832d70a6a70db2aa67f548493f4088d97",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -74,6 +74,27 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Structuring and querying a casebook of past optimization decisions as decision support, when recording optimization experiments or choosing the next optimization from prior art; the casebook is reference material and neither runs profiling nor makes decisions",
+ "prerequisites": "Whole-body text access to the case files for free-text search; applying a case first requires reading the nearest checked-in config and the model's deployment guide",
+ "input_contract": "For a query: natural search terms such as model name, knob, mechanism word or deployment feature, plus the current model and hardware. For a new case: mechanism, applies-when and does-not-apply conditions, procedure, expected effect, accuracy risk, verification, rollback and a real measurement trail with run ID, verdict, exact hardware SKU, model revision, workload and before/after result",
+ "produced_artifact": "Ranked matching cases read as precedents and diagnostic options, or a new or deprecated case record in the template; a precedent's procedure and expected direction of effect, not a guaranteed configuration or a measured result",
+ "failure_modes": [
+ "The query is pre-translated into canonical vocabulary or bounded by structured fields, so synonyms in the body text are missed",
+ "A case's specific values, such as batch size, tensor-parallel degree or kernel parameters, are copied instead of re-derived for the current model and hardware",
+ "The precedent's expected direction of effect stands in for measurement after the change is applied",
+ "A rejected direction is read as a permanent blacklist, or one discarded implementation as ruling out its mechanism",
+ "A confounded run, a missing experiment and a failed gate are recorded as the same evidence state",
+ "Cross-system cases are bootstrapped without re-verifying that the mechanism holds on the target hardware"
+ ],
+ "refusal_point": "Adds no case for an INCONCLUSIVE optimization-effect claim, a single-configuration result without plausible generalization, or a result without a real measurement trail, except a scoped diagnostic observation that keeps its verdict and configuration boundary; manufactures no PASS, and reading the records does not reopen a paused campaign"
+ },
+ "recommendations": [
+ "Search the full case bodies with free text first, then rank the hits by bottleneck class and signals.",
+ "Before retrying a rejected direction, state which condition changed or which uncertainty a bounded check resolves, run an unchanged control and choose the least expensive discriminating check.",
+ "Mark bootstrapped cases source_grounded or author_reported until a local measurement confirms or refutes them.",
+ "When a case's conditions no longer hold, mark it deprecated with the reason instead of deleting it."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -81,10 +102,26 @@
"provenance_readsets": [],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Structuring and querying a casebook of past optimization decisions as decision support, when recording optimization experiments or choosing the next optimization from prior art; the casebook is reference material and neither runs profiling nor makes decisions",
+ "prerequisites": "Whole-body text access to the case files for free-text search; applying a case first requires reading the nearest checked-in config and the model's deployment guide",
+ "input_contract": "For a query: natural search terms such as model name, knob, mechanism word or deployment feature, plus the current model and hardware. For a new case: mechanism, applies-when and does-not-apply conditions, procedure, expected effect, accuracy risk, verification, rollback and a real measurement trail with run ID, verdict, exact hardware SKU, model revision, workload and before/after result",
+ "produced_artifact": "Ranked matching cases read as precedents and diagnostic options, or a new or deprecated case record in the template; a precedent's procedure and expected direction of effect, not a guaranteed configuration or a measured result",
+ "failure_modes": [
+ "The query is pre-translated into canonical vocabulary or bounded by structured fields, so synonyms in the body text are missed",
+ "A case's specific values, such as batch size, tensor-parallel degree or kernel parameters, are copied instead of re-derived for the current model and hardware",
+ "The precedent's expected direction of effect stands in for measurement after the change is applied",
+ "A rejected direction is read as a permanent blacklist, or one discarded implementation as ruling out its mechanism",
+ "A confounded run, a missing experiment and a failed gate are recorded as the same evidence state",
+ "Cross-system cases are bootstrapped without re-verifying that the mechanism holds on the target hardware"
+ ],
+ "refusal_point": "Adds no case for an INCONCLUSIVE optimization-effect claim, a single-configuration result without plausible generalization, or a result without a real measurement trail, except a scoped diagnostic observation that keeps its verdict and configuration boundary; manufactures no PASS, and reading the records does not reopen a paused campaign"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Search the full case bodies with free text first, then rank the hits by bottleneck class and signals.",
+ "Before retrying a rejected direction, state which condition changed or which uncertainty a bounded check resolves, run an unchanged control and choose the least expensive discriminating check.",
+ "Mark bootstrapped cases source_grounded or author_reported until a local measurement confirms or refutes them.",
+ "When a case's conditions no longer hold, mark it deprecated with the reason instead of deleting it."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
index 551df3bb3..ba8e621c0 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
@@ -39,8 +39,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/causal-conv1d-dispatch-state.md",
@@ -79,7 +79,7 @@
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/vllm-gdn-causal-conv-contract.md": "2f3dcee66e2dfe7a98bee21a36b892538998de5de3caf1bc63257137f9984236",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/vllm-gdn-source-contract.json": "73f1a2d8fa89ce05aead2091a05a285b13cbdc314d05452c35c6a2ad15ffeff7",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/vllm-gdn-source-contract.md": "7f9ebe8de7e55d3db2a119b6a56e15c37448fd7d4e022a47122a143206d31687",
- "src/inferrsi/data/skill_library/methods/kernel-writing-guide/metadata.json": "c86f93f4eacde789e5438327d85b1de0bfe623fb87acad49306e47b7e8ef1261",
+ "src/inferrsi/data/skill_library/methods/kernel-writing-guide/metadata.json": "766aa688d573c790789e2836f952315e91c4e06806fca3d04523a8a748bf9c32",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/references/akg-affine-tail-guards.md": "113deb2db10b171db3425bb3f1792bee763706b794c8cc2e222b4cc0d0114118",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/references/causal-conv1d-contract.md": "b3a6245cf5e9deeba0dffd4a15ddcf97da6a4315f4d3131921779438832663ad",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/references/hf-qwen35-gdn-binding.md": "848d3c99b47ef711e8820bbc4f6bcbd1db7211197811c9d855201025448d806b",
@@ -251,6 +251,37 @@
}
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Deciding whether to write a custom inference kernel, routing a kernel pattern to Triton, CuTe DSL, CUDA C++, AscendC or TileIR, applying framework-independent correctness rules, and verifying the executing kernel against a reference before benchmarking; covers fused elementwise chains, reductions, tiled GEMM, attention variants, custom collectives, causal convolution and stateful serving-operator qualification",
+ "prerequisites": "The applicable operator, caller/state and layout contracts are read before substitution, including the causal-conv1d contract and HF Qwen3.5 GDN binding; the CuTe DSL environment uses Linux x86_64, Python 3.10–3.13 and Ampere+ (SM80+) with nvidia-cutlass-dsl installed and no NPU target; the CANN programming guide for the specific SoC is consulted for AscendC",
+ "input_contract": "The candidate operation or operation chain, its shapes, dtypes, quantization and layout requirements, and the target execution phase; the target accelerator and framework constraints; for serving operators, the concrete caller, effective phase and backend, state-row mapping, cache or buffer lifetime and in-place-write behavior; a reference implementation with the same signature, a callable kernel wrapper and fresh CUDA or NPU test tensors; verification shapes and dtypes plus profiler output for the target metric",
+ "produced_artifact": "A write-or-decline decision for the candidate operation with the profiled bottleneck, fusable pair or required dtype, shape or quantization variant unsupported by the standard implementation that justifies it, a framework choice routed by pattern and accelerator, a correctness checklist covering fp32 transcendental round-trips, sync-free wrappers, C division semantics, pre-allocated outputs, fp32 matmul accumulators and masked boundary loads and stores, a starting block or tile size with its autotune and warmup cost noted, a kernel shipping kernel_fn, reference_fn and get_inputs, a reference-parity result across the verification shapes and dtypes, and a post-verification profiler reading on the target metric; for an existing causal-convolution or stateful serving operator, a qualification record naming the caller, phase, backend, state rows and in-place writes, with source selection kept apart from executed dispatch; a routing and correctness decision, not a complete implementation or a measured speedup",
+ "failure_modes": [
+ "A kernel is written for a standalone elementwise op, a standalone matmul or standard attention where the vendor library already wins",
+ "Host-side scheduling cost is treated as a kernel problem instead of being routed to host-overhead-profiling",
+ "Fusion is justified by removed Python call overhead rather than by the DRAM traffic the shared data no longer makes",
+ "A transcendental runs on fp16/bf16 inputs without the fp32 cast round-trip, so the error stays silent through benchmarking",
+ "tl.dot accumulates in the input dtype because Triton is assumed to promote fp16/bf16 to fp32 automatically",
+ "Negative offsets are computed assuming Python floor division while Triton or AscendC rounds toward zero",
+ "An unmasked load or store is accepted because the benchmark shapes happen to divide the block size",
+ "A kernel is benchmarked before it matches its reference, or a shape-boundary, accumulator-dtype or precision failure is read as a tuning problem",
+ "A verification pass is reported as a win although the profiler metric did not move, so the kernel was never on the critical path",
+ "Autotune compile cost is measured as steady-state serving latency instead of being pre-warmed or cached",
+ "A CuTe DSL pattern is routed to an NPU target, or a CUDA tail-guard, attention primitive or SM-matched example is assumed to carry to Ascend",
+ "A causal-conv1d or GDN operator is substituted on build success, import success or matching names without resolving dtype, strides, packed boundaries, state rows and cursors",
+ "An in-tree vLLM wrapper, a GDN prefill flag or a cache-free classification adapter is read as establishing the executed convolution path or generation-state support"
+ ],
+ "refusal_point": "Declines to start a kernel until a profiler puts the target on the critical path near its hardware ceiling, a concrete fusable pair is identified, or the required dtype, shape or quantization variant is unsupported by the standard implementation, and sends host-bound cases elsewhere; refuses to benchmark an unverified kernel and withholds a gain whose profiler metric did not move; keeps operator source selection separate from executed dispatch, numerical parity and hardware qualification, so build or import success qualifies nothing; treats AscendC and TileIR content as source-inferred pending CANN and SoC verification with no local NPU run, treats the AKG Affine FileCheck expectations as IR structure rather than executed CUDA correctness, and reads author-reported overlap and FP8 cases as counterexamples to unconditional tuning rules; claims no Ascend support from NVIDIA primitives",
+ "hardware": "CUDA Ampere+ and Ascend NPU have separate framework routes for each kernel pattern; CuTe DSL requires Linux x86_64, Python 3.10-3.13 and SM80+ with nvidia-cutlass-dsl and is unavailable on NPU; profiling uses ncu on CUDA and msprof on Ascend; the AscendC and TileIR guidance is source-inferred with no local NPU verification and requires validation against the specific CANN version and SoC"
+ },
+ "recommendations": [
+ "Confirm with nsys/ncu or msprof that the target kernel sits on the critical path near its hardware ceiling, name the adjacent operations whose shared data would otherwise round-trip through DRAM, or identify a required dtype, shape or quantization variant unsupported by the standard implementation, before writing any kernel.",
+ "Ship every kernel with kernel_fn, reference_fn and get_inputs, pass reference parity across the verification shapes and dtypes first, and profile afterwards to confirm the target metric actually moved.",
+ "Cast fp16/bf16 to fp32 and back for any math beyond +, -, * and /, declare tl.dot accumulators as tl.float32, and mask every load and store whose shape does not divide the block size.",
+ "Start Triton at BLOCK_SIZE 1024 on Hopper and 512 on Ampere using powers of two, take GEMM tiles from the source skeleton configs (128/256/64 for Hopper, 64/128/32 for smaller cards) and autotune from there.",
+ "On Ascend, reach for TileIR before raw AscendC, size tiles to fit the AI Core Unified Buffer and check cube-unit alignment against the CANN guide for the specific SoC.",
+ "Match a CuTe DSL example to the GPU architecture (SM80 Ampere, SM90 Hopper, SM100 Blackwell) and study its structure instead of copying it, and pre-warm or cache autotuned kernels at startup so first-run compile cost stays out of serving latency."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets.",
@@ -270,10 +301,36 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Deciding whether to write a custom inference kernel, routing a kernel pattern to Triton, CuTe DSL, CUDA C++, AscendC or TileIR, applying framework-independent correctness rules, and verifying the executing kernel against a reference before benchmarking; covers fused elementwise chains, reductions, tiled GEMM, attention variants, custom collectives, causal convolution and stateful serving-operator qualification",
+ "prerequisites": "The applicable operator, caller/state and layout contracts are read before substitution, including the causal-conv1d contract and HF Qwen3.5 GDN binding; the CuTe DSL environment uses Linux x86_64, Python 3.10–3.13 and Ampere+ (SM80+) with nvidia-cutlass-dsl installed and no NPU target; the CANN programming guide for the specific SoC is consulted for AscendC",
+ "input_contract": "The candidate operation or operation chain, its shapes, dtypes, quantization and layout requirements, and the target execution phase; the target accelerator and framework constraints; for serving operators, the concrete caller, effective phase and backend, state-row mapping, cache or buffer lifetime and in-place-write behavior; a reference implementation with the same signature, a callable kernel wrapper and fresh CUDA or NPU test tensors; verification shapes and dtypes plus profiler output for the target metric",
+ "produced_artifact": "A write-or-decline decision for the candidate operation with the profiled bottleneck, fusable pair or required dtype, shape or quantization variant unsupported by the standard implementation that justifies it, a framework choice routed by pattern and accelerator, a correctness checklist covering fp32 transcendental round-trips, sync-free wrappers, C division semantics, pre-allocated outputs, fp32 matmul accumulators and masked boundary loads and stores, a starting block or tile size with its autotune and warmup cost noted, a kernel shipping kernel_fn, reference_fn and get_inputs, a reference-parity result across the verification shapes and dtypes, and a post-verification profiler reading on the target metric; for an existing causal-convolution or stateful serving operator, a qualification record naming the caller, phase, backend, state rows and in-place writes, with source selection kept apart from executed dispatch; a routing and correctness decision, not a complete implementation or a measured speedup",
+ "failure_modes": [
+ "A kernel is written for a standalone elementwise op, a standalone matmul or standard attention where the vendor library already wins",
+ "Host-side scheduling cost is treated as a kernel problem instead of being routed to host-overhead-profiling",
+ "Fusion is justified by removed Python call overhead rather than by the DRAM traffic the shared data no longer makes",
+ "A transcendental runs on fp16/bf16 inputs without the fp32 cast round-trip, so the error stays silent through benchmarking",
+ "tl.dot accumulates in the input dtype because Triton is assumed to promote fp16/bf16 to fp32 automatically",
+ "Negative offsets are computed assuming Python floor division while Triton or AscendC rounds toward zero",
+ "An unmasked load or store is accepted because the benchmark shapes happen to divide the block size",
+ "A kernel is benchmarked before it matches its reference, or a shape-boundary, accumulator-dtype or precision failure is read as a tuning problem",
+ "A verification pass is reported as a win although the profiler metric did not move, so the kernel was never on the critical path",
+ "Autotune compile cost is measured as steady-state serving latency instead of being pre-warmed or cached",
+ "A CuTe DSL pattern is routed to an NPU target, or a CUDA tail-guard, attention primitive or SM-matched example is assumed to carry to Ascend",
+ "A causal-conv1d or GDN operator is substituted on build success, import success or matching names without resolving dtype, strides, packed boundaries, state rows and cursors",
+ "An in-tree vLLM wrapper, a GDN prefill flag or a cache-free classification adapter is read as establishing the executed convolution path or generation-state support"
+ ],
+ "refusal_point": "Declines to start a kernel until a profiler puts the target on the critical path near its hardware ceiling, a concrete fusable pair is identified, or the required dtype, shape or quantization variant is unsupported by the standard implementation, and sends host-bound cases elsewhere; refuses to benchmark an unverified kernel and withholds a gain whose profiler metric did not move; keeps operator source selection separate from executed dispatch, numerical parity and hardware qualification, so build or import success qualifies nothing; treats AscendC and TileIR content as source-inferred pending CANN and SoC verification with no local NPU run, treats the AKG Affine FileCheck expectations as IR structure rather than executed CUDA correctness, and reads author-reported overlap and FP8 cases as counterexamples to unconditional tuning rules; claims no Ascend support from NVIDIA primitives",
+ "hardware": "CUDA Ampere+ and Ascend NPU have separate framework routes for each kernel pattern; CuTe DSL requires Linux x86_64, Python 3.10-3.13 and SM80+ with nvidia-cutlass-dsl and is unavailable on NPU; profiling uses ncu on CUDA and msprof on Ascend; the AscendC and TileIR guidance is source-inferred with no local NPU verification and requires validation against the specific CANN version and SoC"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Confirm with nsys/ncu or msprof that the target kernel sits on the critical path near its hardware ceiling, name the adjacent operations whose shared data would otherwise round-trip through DRAM, or identify a required dtype, shape or quantization variant unsupported by the standard implementation, before writing any kernel.",
+ "Ship every kernel with kernel_fn, reference_fn and get_inputs, pass reference parity across the verification shapes and dtypes first, and profile afterwards to confirm the target metric actually moved.",
+ "Cast fp16/bf16 to fp32 and back for any math beyond +, -, * and /, declare tl.dot accumulators as tl.float32, and mask every load and store whose shape does not divide the block size.",
+ "Start Triton at BLOCK_SIZE 1024 on Hopper and 512 on Ampere using powers of two, take GEMM tiles from the source skeleton configs (128/256/64 for Hopper, 64/128/32 for smaller cards) and autotune from there.",
+ "On Ascend, reach for TileIR before raw AscendC, size tiles to fit the AI Core Unified Buffer and check cube-unit alignment against the CANN guide for the specific SoC.",
+ "Match a CuTe DSL example to the GPU architecture (SM80 Ampere, SM90 Hopper, SM100 Blackwell) and study its structure instead of copying it, and pre-warm or cache autotuned kernels at startup so first-run compile cost stays out of serving latency."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
index 2669981dd..09a76d585 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
index eedd0ec5b..f18b9512a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
index 5c49c1c3d..64b2ca4e4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/lily/LICENSE",
"src/inferrsi/data/skill_library/repositories/lily/NOTICE.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
index 8b7c1b0b3..e89a32a61 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/lithos-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
index 0dc716d22..7a7b09972 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
"src/inferrsi/data/skill_library/repositories/local-dream/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
index b84b3e758..1954e5976 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/mistral-rs/LICENSE",
"src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
index f6611beaf..8ed376db2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlc-llm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
index 3a76a3793..847825211 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
index 57f67293d..49436b87c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
index 3fe778b14..a23a4e000 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.json",
@@ -50,7 +50,7 @@
"src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md": "0ba4ade1648764a7422f564abe2d4fc9f9a25b5943a6c70c81ce17b8e7fb48d9",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.json": "f8448973cf1c9e506179c02c5e55bd804ea039b7276cf08071952f6c0be656ad",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.md": "2c2a8147001d24d1abc8672f15cf0ca759ae461b734413c8dcb7497634bb6821",
- "src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json": "d5aaaa4511c9287e1f3d1f07a25c36320a68cb35a5066778cbd3c2bbb5203c6a",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json": "6dc0c3b8ce13cff285ad99da4441f2fb6a5931247e7634e657275dd915854e02",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/distserve-phase-placement/README.md": "56e16efce447dfd4990a024ff1d6f7cb428f8e3e1f7b32a7e4d05f57139b836a",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/distserve-phase-placement/source-record.json": "21cc9562f1c19d6b57957c01b53e0adf8700d05ffaaa7764afe07c4da1284de1",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/INTEGRATION_NOTES.md": "157e74ba180426b279b548a729769f152bf18f9a78ffca4ebfcaf26b7d0c5292",
@@ -78,25 +78,27 @@
"external"
],
"empirical_validation": "not_run",
- "sources": [
- {
- "type": "paper",
- "id": "usenix:osdi24:zhong-yinmin",
- "version": "OSDI 24 proceedings, July 2024, pages 193-210",
- "url": "https://www.usenix.org/conference/osdi24/presentation/zhong-yinmin",
- "sections": [
- "3.3",
- "4.1-4.2",
- "6.1-6.5",
- "7",
- "Appendices A-C"
- ],
- "readset": "references/distserve-phase-placement/source-record.json"
- },
- {
- "type": "unknown",
- "scope": "Pre-existing sources remain in their original procedure/readsets; this amendment does not normalize that inventory"
- }
+ "applicability": {
+ "scope": "Selecting, ordering and stopping optimization experiments: candidate generation, exploration versus exploitation, mechanism diversity, negative experiment memory, cost-aware escalation, budget allocation and stopping criteria, drawn from vllm-evolve, the TRT-LLM casebook and SkillOpt",
+ "prerequisites": "The useful work, quality contract, allowed approximations, timing boundary and resource budget are frozen before search, and a complete restartable incumbent is preserved; reading the procedures authorizes no execution, framework change, new resource spending or publication",
+ "input_contract": "Profiling data, existing config, prior experiment and negative records and the casebook for the current bottleneck class, model and hardware; each target stage's fraction of E2E time; the target, locally measured uncertainty and the authorized budget",
+ "produced_artifact": "An ordered experiment plan: one candidate change per round with an explicit hypothesis and its motivating evidence, a bounded shortlist of distinct mechanisms with assumptions, uncertainty, expected impact and evaluation cost, negative records turned into search constraints, and a stop-or-switch decision; when authorized rounds run, a recorded verdict per round with best-seen and delivered outcomes kept apart",
+ "failure_modes": [
+ "The evaluation protocol, measurement setup or baseline changes in the same round as the candidate",
+ "Benchmark budget is spent on a candidate that fails correctness",
+ "A matching keyword in a rejection record is used as a causal diagnosis or automatic veto, or one failed implementation excludes a whole solution family",
+ "Expensive work starts on a stage without computing its Amdahl contribution, so a large local speedup yields little E2E gain",
+ "One mechanism family keeps being sampled only because budget remains, without re-profiling after the limiting stage moves",
+ "Roofline proximity or a utilization threshold is used as a universal stopping rule",
+ "Screening is allowed to skip the frozen acceptance regimes or required service-level evidence"
+ ],
+ "refusal_point": "Discards a correctness-breaking, worse or inconclusive change instead of integrating it, preserves no-change when candidates cannot be separated, does not count a shortcut outside the authorized semantics as an optimization, and does not let a successful probe qualify a broken final state"
+ },
+ "recommendations": [
+ "Before generating a candidate, consult the casebook, the negative record and the target stage's Amdahl contribution.",
+ "Record every worse or inconclusive result with hypothesis, metric, context, evidence level and failure type, and derive a search constraint from it.",
+ "When about three experiments on one hypothesis return inconclusive from measurement variance, fix the protocol or move to a different hypothesis.",
+ "Before reporting, restore and verify the best fully valid incumbent through its canonical launcher."
],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
@@ -129,12 +131,49 @@
"../performance-ceiling-analysis/SKILL.md",
"../../repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "sources": [
+ {
+ "type": "paper",
+ "id": "usenix:osdi24:zhong-yinmin",
+ "version": "OSDI 24 proceedings, July 2024, pages 193-210",
+ "url": "https://www.usenix.org/conference/osdi24/presentation/zhong-yinmin",
+ "sections": [
+ "3.3",
+ "4.1-4.2",
+ "6.1-6.5",
+ "7",
+ "Appendices A-C"
+ ],
+ "readset": "references/distserve-phase-placement/source-record.json"
+ },
+ {
+ "type": "unknown",
+ "scope": "Pre-existing sources remain in their original procedure/readsets; this amendment does not normalize that inventory"
+ }
+ ]
+ },
+ "applicability": {
+ "scope": "Selecting, ordering and stopping optimization experiments: candidate generation, exploration versus exploitation, mechanism diversity, negative experiment memory, cost-aware escalation, budget allocation and stopping criteria, drawn from vllm-evolve, the TRT-LLM casebook and SkillOpt",
+ "prerequisites": "The useful work, quality contract, allowed approximations, timing boundary and resource budget are frozen before search, and a complete restartable incumbent is preserved; reading the procedures authorizes no execution, framework change, new resource spending or publication",
+ "input_contract": "Profiling data, existing config, prior experiment and negative records and the casebook for the current bottleneck class, model and hardware; each target stage's fraction of E2E time; the target, locally measured uncertainty and the authorized budget",
+ "produced_artifact": "An ordered experiment plan: one candidate change per round with an explicit hypothesis and its motivating evidence, a bounded shortlist of distinct mechanisms with assumptions, uncertainty, expected impact and evaluation cost, negative records turned into search constraints, and a stop-or-switch decision; when authorized rounds run, a recorded verdict per round with best-seen and delivered outcomes kept apart",
+ "failure_modes": [
+ "The evaluation protocol, measurement setup or baseline changes in the same round as the candidate",
+ "Benchmark budget is spent on a candidate that fails correctness",
+ "A matching keyword in a rejection record is used as a causal diagnosis or automatic veto, or one failed implementation excludes a whole solution family",
+ "Expensive work starts on a stage without computing its Amdahl contribution, so a large local speedup yields little E2E gain",
+ "One mechanism family keeps being sampled only because budget remains, without re-profiling after the limiting stage moves",
+ "Roofline proximity or a utilization threshold is used as a universal stopping rule",
+ "Screening is allowed to skip the frozen acceptance regimes or required service-level evidence"
+ ],
+ "refusal_point": "Discards a correctness-breaking, worse or inconclusive change instead of integrating it, preserves no-change when candidates cannot be separated, does not count a shortcut outside the authorized semantics as an optimization, and does not let a successful probe qualify a broken final state"
},
- "applicability": {},
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Before generating a candidate, consult the casebook, the negative record and the target stage's Amdahl contribution.",
+ "Record every worse or inconclusive result with hypothesis, metric, context, evidence level and failure type, and derive a search constraint from it.",
+ "When about three experiments on one hypothesis return inconclusive from measurement variance, fix the protocol or move to a different hypothesis.",
+ "Before reporting, restore and verify the best fully valid incumbent through its canonical launcher."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
index db1802db5..abd43099c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
index 8bdc181f8..4bc3bde89 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
@@ -22,11 +22,12 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json",
+ "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/flexgen-offload-feasibility.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/mooncake-prefix-reuse-feasibility.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/papers-20261015/INTEGRATION_NOTES.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/papers-20261015/MECHANISMS.md",
@@ -49,7 +50,7 @@
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/scripts/roofline.py",
"src/inferrsi/data/skill_library/skill-index.json"
],
- "content_sha256": "4810761a3ab1e5e6e000060d9ad140a0e8892937486f2ab384d50868c22b0f11"
+ "content_sha256": "0203dfabd2a02d2ab8f8696b922dcc3df86b3a811352a5bc6cea57aee68e869c"
}
],
"index_type": "packaged-skill",
@@ -58,8 +59,9 @@
},
"checkout_ref": "checkout:performance-ceiling-analysis",
"source_files": {
- "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md": "4810761a3ab1e5e6e000060d9ad140a0e8892937486f2ab384d50868c22b0f11",
- "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json": "3fcd2126846cf42ee77b1def39fc05ebfc54cf7428e0a6844b0ade1acf9f47ea",
+ "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md": "0203dfabd2a02d2ab8f8696b922dcc3df86b3a811352a5bc6cea57aee68e869c",
+ "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json": "70cd45ab665d4a83544a55fb48f2c83f195715a39af1e8e238ab574403150212",
+ "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/flexgen-offload-feasibility.md": "984cc41c4412eafa6d20e109dea8927ad321a668776bc86bbffda0a94dfa9cc7",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/mooncake-prefix-reuse-feasibility.md": "e64b62fded4490708414a898f540b0319c54d2b205fd5d060acaab419734d100",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/papers-20261015/INTEGRATION_NOTES.md": "083e462e0a204dce599362d46712fcfb392d053c5cda56216e22e28d4b8fa0fa",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/papers-20261015/MECHANISMS.md": "742c249082ceca230326f4407a40130fe624553b796ae5a157a8a4c15a7e1398",
@@ -140,6 +142,20 @@
],
"readset": "references/mooncake-prefix-reuse-feasibility.md",
"license": "UNKNOWN"
+ },
+ {
+ "type": "paper",
+ "id": "pmlr-v202-sheng23a",
+ "version": "ICML 2023 official ten-author edition, PMLR 202:31094-31116",
+ "url": "https://proceedings.mlr.press/v202/sheng23a/sheng23a.pdf",
+ "content_sha256": "7cd9673c37640011d38ef4b8595f5e1e09a85b1f803a3734f19c97ca66c75b9e",
+ "sections": [
+ "1 and 3; 4.1-4.3, Figures 1-3, Algorithm 1, Equation 1",
+ "4.4 (scope boundary only); 6 and 6.1, Tables 2-3 (denominators and ablations)",
+ "Appendix A.3 selected cost/peak-memory formulas, PDF pages 15-17; A.2 ending only (theorem boundary)"
+ ],
+ "readset": "references/flexgen-offload-feasibility.md",
+ "license": "CC-BY-4.0"
}
],
"verification": {
@@ -167,9 +183,11 @@
"empirical_validation": "not_run",
"limitations": [
"Source-derived candidate; no local efficacy validation.",
- "Mooncake's prefix-reuse condition is an analytical approximation; current cache validity, placement, effective rates, overlap and SLO outcomes remain unverified."
+ "Mooncake's prefix-reuse condition is an analytical approximation; current cache validity, placement, effective rates, overlap and SLO outcomes remain unverified.",
+ "FlexGen's cross-tier feasibility comparison assumes fitted rates and perfect overlap; relaxed placements may OOM, the printed bls wording remains unresolved, and current compatibility, latency and efficacy are unverified."
],
"provenance_readsets": [
+ "references/flexgen-offload-feasibility.md",
"references/mooncake-prefix-reuse-feasibility.md",
"references/papers-20261015/cases/decision-cases.md",
"references/papers-20261015/govern-optimization-experiments/procedure.md",
@@ -205,7 +223,8 @@
"Reading or indexing does not authorize execution, validate efficacy, promote a candidate or grant a license.",
"The backend categorizes the procedure's hardware dependency; it does not certify compatibility, and skills.discovery is a discovery scenario.",
"Source-derived candidate; no local efficacy validation.",
- "Mooncake's prefix-reuse condition is an analytical approximation; current cache validity, placement, effective rates, overlap and SLO outcomes remain unverified."
+ "Mooncake's prefix-reuse condition is an analytical approximation; current cache validity, placement, effective rates, overlap and SLO outcomes remain unverified.",
+ "FlexGen's cross-tier feasibility comparison assumes fitted rates and perfect overlap; relaxed placements may OOM, the printed bls wording remains unresolved, and current compatibility, latency and efficacy are unverified."
],
"verification": {
"locally_verified": false,
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
index defee5257..5becc8e8b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
"src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json",
@@ -34,7 +34,7 @@
"checkout_ref": "checkout:plan-activation-residency",
"source_files": {
"src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md": "542d8a1e6963f5019986e1fbd79d3a247a045a51487c09313026087ac457c15e",
- "src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json": "c6acae57d70190cea0e18c71c79127962181e58169e011df75d8635b3db4daa7",
+ "src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json": "0289c62f93d087cd6a4ba4140487925c4b3258a9db1f7004ff1dfb22fd6d4582",
"src/inferrsi/data/skill_library/methods/plan-activation-residency/references/source-notes.md": "5ff52655cfd06fcf970ed2a7d4d4fe1c31115b102af2d41497de0c74848ed2b3",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -49,6 +49,27 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Proposing training activation and gradient memory reductions when pressure appears to come from live tensors or allocator-reserved memory, by distinguishing lifetime reordering, address packing and selective rematerialization; covers activation checkpointing for recomputation, not persistent recovery checkpoints",
+ "prerequisites": "The packaged evidence and limits are read before citing paper results; installing or running a solver or framework, modifying allocation or checkpoint policies, reproducing workloads or provisioning hardware needs separate authorization",
+ "input_contract": "The actual forward/backward/update DAG, shapes and precision, tensor sizes and consumer lifetimes; resident versus reserved peak bytes; operator, workspace and temporary-output peaks; batch and accumulation policy; optimizer and collective barriers; representative compute and transfer costs; whether the goal is fit, step time or time to a fixed training objective",
+ "produced_artifact": "A preferred candidate, simpler fallback, resource ledger, critical-path prediction, assumptions, counter-signals and unresolved-evidence list, with source claims kept apart from proposed decisions, plus a proposed matched comparison; a reviewable proposal, not an implementation",
+ "failure_modes": [
+ "Fragmentation and live-byte excess are not distinguished at the same phase",
+ "OLLA address packing is read as tensor placement across CPU/SSD tiers",
+ "Reordering moves a release or update past a dependency such as shared weights, accumulation, gradient clipping, optimizer state or collectives",
+ "A static packing plan ignores alignment, aliasing, workspace, asynchronous overlap or shape variability",
+ "Added recomputation consumes the compute window that previously hid transfers",
+ "Checkmate's rounding is taken to guarantee the memory cap, or its 10% allowance is used as a portable safety margin",
+ "A solver timeout is read as proof of infeasibility"
+ ],
+ "refusal_point": "Returns the missing classification instead of a preferred checkpoint interval when only total OOM memory is known, and escalates when a legal dependency graph, memory margin or correctness model is unavailable"
+ },
+ "recommendations": [
+ "Where ordering is legal, try earlier last-use and gradient release before adding computation or transfer.",
+ "Check dependency validity and memory feasibility separately for an approximate schedule.",
+ "Account for planning cost over the expected number of repeated steps."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -58,10 +79,26 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Proposing training activation and gradient memory reductions when pressure appears to come from live tensors or allocator-reserved memory, by distinguishing lifetime reordering, address packing and selective rematerialization; covers activation checkpointing for recomputation, not persistent recovery checkpoints",
+ "prerequisites": "The packaged evidence and limits are read before citing paper results; installing or running a solver or framework, modifying allocation or checkpoint policies, reproducing workloads or provisioning hardware needs separate authorization",
+ "input_contract": "The actual forward/backward/update DAG, shapes and precision, tensor sizes and consumer lifetimes; resident versus reserved peak bytes; operator, workspace and temporary-output peaks; batch and accumulation policy; optimizer and collective barriers; representative compute and transfer costs; whether the goal is fit, step time or time to a fixed training objective",
+ "produced_artifact": "A preferred candidate, simpler fallback, resource ledger, critical-path prediction, assumptions, counter-signals and unresolved-evidence list, with source claims kept apart from proposed decisions, plus a proposed matched comparison; a reviewable proposal, not an implementation",
+ "failure_modes": [
+ "Fragmentation and live-byte excess are not distinguished at the same phase",
+ "OLLA address packing is read as tensor placement across CPU/SSD tiers",
+ "Reordering moves a release or update past a dependency such as shared weights, accumulation, gradient clipping, optimizer state or collectives",
+ "A static packing plan ignores alignment, aliasing, workspace, asynchronous overlap or shape variability",
+ "Added recomputation consumes the compute window that previously hid transfers",
+ "Checkmate's rounding is taken to guarantee the memory cap, or its 10% allowance is used as a portable safety margin",
+ "A solver timeout is read as proof of infeasibility"
+ ],
+ "refusal_point": "Returns the missing classification instead of a preferred checkpoint interval when only total OOM memory is known, and escalates when a legal dependency graph, memory margin or correctness model is unavailable"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Where ordering is legal, try earlier last-use and gradient release before adding computation or transfer.",
+ "Check dependency validity and memory feasibility separately for an approximate schedule.",
+ "Account for planning cost over the expected number of repeated steps."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
index b66acf0ee..b436a919e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/project-maya/LICENSE",
"src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
index e0610e239..2de74c721 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
index 9a5e1953f..622550390 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
index 577df1a19..78d2bd68b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json",
@@ -38,7 +38,7 @@
"checkout_ref": "checkout:skill-evolution-playbook",
"source_files": {
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md": "9cd37f21fe0d862069e4798edca8a04d59f8b840e55d521901594a63dddd9ba3",
- "src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json": "92b36338b9257e2e41b95e4370694d7de52ed84bc7971056b3bfced07b0993d8",
+ "src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json": "d3e790614e09d2d57acb24bfe8d2c2a524cc36bd667bd3867c557554bcbb605e",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -58,6 +58,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Design choices for evolving agent skills from execution traces, drawn from Trace2Skill and SkillOpt: when a trajectory should update a skill, how conflicting lessons are handled, how negative evidence is preserved, how large an edit should be and when skills split or merge; for designing or operating a skill evolution pipeline",
+ "prerequisites": "A final-test partition kept outside edit selection and the incumbent skill retained for rollback; changing a skill's scope first needs explicit review of its identity and consumers",
+ "input_contract": "Execution trajectories or trace IDs with the diagnosed causal failure and the successful behavior an amendment must preserve; the incumbent skill and its revision lineage; held-out evaluation results for candidate edits",
+ "produced_artifact": "A scoped case or amendment proposal, or a consolidated candidate edit, with rejection records and the versioned revision lineage; a candidate for independently evaluated acceptance, not a replacement decision or an efficacy claim",
+ "failure_modes": [
+ "An anecdote, or agreement among analysts, is taken as efficacy",
+ "Consolidation output is treated as a replacement decision instead of a candidate awaiting independent acceptance",
+ "A tie or uncertain result is reported as improvement",
+ "A conflict is resolved by voting for whichever outcome appeared more often in the pool",
+ "A rejection is applied to every future use of an idea instead of the comparison it constrains",
+ "Paper-specific section counts or length budgets are used as universal defaults, or a skill is split on length alone",
+ "A stronger task solver is assumed to be a stronger improver, or replay rankings and private inner scores are read as outer generalization"
+ ],
+ "refusal_point": "Records a conflict that conditioning cannot resolve, where the same context produces different outcomes across runs, as INCONCLUSIVE and flags it for human review instead of choosing a lesson; claims no universal minimum trace count, paper-to-code equivalence or local efficacy"
+ },
+ "recommendations": [
+ "Condition a conflicting lesson on its context (when X, do A; when Y, avoid A) before choosing one side.",
+ "Store each rejection record with its evaluation evidence, outside the deployed task procedure, and give it a retirement condition.",
+ "Bound the target passage and intended behavior before editing, inspect the actual diff and preserve rollback state.",
+ "Prefer an amendment when the existing skill owns the workflow; create a new candidate only for a genuinely distinct capability."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -65,10 +87,27 @@
"provenance_readsets": [],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Design choices for evolving agent skills from execution traces, drawn from Trace2Skill and SkillOpt: when a trajectory should update a skill, how conflicting lessons are handled, how negative evidence is preserved, how large an edit should be and when skills split or merge; for designing or operating a skill evolution pipeline",
+ "prerequisites": "A final-test partition kept outside edit selection and the incumbent skill retained for rollback; changing a skill's scope first needs explicit review of its identity and consumers",
+ "input_contract": "Execution trajectories or trace IDs with the diagnosed causal failure and the successful behavior an amendment must preserve; the incumbent skill and its revision lineage; held-out evaluation results for candidate edits",
+ "produced_artifact": "A scoped case or amendment proposal, or a consolidated candidate edit, with rejection records and the versioned revision lineage; a candidate for independently evaluated acceptance, not a replacement decision or an efficacy claim",
+ "failure_modes": [
+ "An anecdote, or agreement among analysts, is taken as efficacy",
+ "Consolidation output is treated as a replacement decision instead of a candidate awaiting independent acceptance",
+ "A tie or uncertain result is reported as improvement",
+ "A conflict is resolved by voting for whichever outcome appeared more often in the pool",
+ "A rejection is applied to every future use of an idea instead of the comparison it constrains",
+ "Paper-specific section counts or length budgets are used as universal defaults, or a skill is split on length alone",
+ "A stronger task solver is assumed to be a stronger improver, or replay rankings and private inner scores are read as outer generalization"
+ ],
+ "refusal_point": "Records a conflict that conditioning cannot resolve, where the same context produces different outcomes across runs, as INCONCLUSIVE and flags it for human review instead of choosing a lesson; claims no universal minimum trace count, paper-to-code equivalence or local efficacy"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Condition a conflicting lesson on its context (when X, do A; when Y, avoid A) before choosing one side.",
+ "Store each rejection record with its evaluation evidence, outside the deployed task procedure, and give it a retirement condition.",
+ "Bound the target passage and intended behavior before editing, inspect the actual diff and preserve rollback state.",
+ "Prefer an amendment when the existing skill owns the workflow; create a new candidate only for a genuinely distinct capability."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
index 8d2843e4e..7edadb937 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/splash/LICENSE",
"src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
index 1490e7f2c..8479f0963 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
index 6de51b5d1..8d735275d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json",
@@ -41,7 +41,7 @@
"checkout_ref": "checkout:training-input-pipeline",
"source_files": {
"src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md": "64bd2c6b795d966045d1d3cca55976d3d49b08b06df7c7e06a70c2824cf55b7e",
- "src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json": "80659099fce6a6ec05e9084b75452c877a5812e30f60a78f31ef8c7efcdc1bac",
+ "src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json": "debad47896f600c7a1e19e477e34026c975dfde320a786dca1ddd02030a5feb1",
"src/inferrsi/data/skill_library/methods/training-input-pipeline/references/sources.md": "60e0f3e88655d8e1d5eb4797f39ca4370deda01614f265b8d2ea4559d8ac020f",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -64,6 +64,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Diagnosing training input stalls and choosing bounded queue, shard-cache and cache-ownership changes from DALI, Mosaic Streaming and FFCV, while preserving execution-mode gates, sample ordering and per-host memory budgets and separating remote downloads, local storage reads and host/device transfers",
+ "prerequisites": "The pinned readset and its license constraints are read; reading authorizes no commands, cache manipulation or experiment",
+ "input_contract": "Dataset format, sample-size distribution, workers and ranks per host, ordering/shuffle, local-cache state and executor mode; a per-host memory budget that includes checkpoint staging and runtime offload; timings that separate remote fetch, decompression/decoding, transformation, batch readiness and device transfer",
+ "produced_artifact": "One proposed queue, shard-cache or cache-ownership change with its source-backed rule and boundary, the evidence proposed to confirm it, and a verification contract for a separately authorized comparison; no input-throughput, model-quality or hardware result",
+ "failure_modes": [
+ "Low accelerator utilization is taken to identify which producer stage is late",
+ "Missing legacy DALI statistics are read as zero use, or the execution mode is switched silently to obtain them, which changes the comparison",
+ "DALI run() returning is read as output-ready timing instead of the outputs() synchronization boundary",
+ "Mosaic predownload is treated as a byte cap or request count, or per-worker sample targets are multiplied into an exact network-byte prediction",
+ "Look-ahead is increased when the local cache cannot retain the working set, so evicted shards are downloaded again",
+ "cache_limit is read as a bound on total process RAM, or the constructor minimum as an optimum or a guarantee against thrashing",
+ "An FFCV memory map is taken as proof that its pages are resident"
+ ],
+ "refusal_point": "Rejects changes that violate sample coverage or the stated reproducibility contract even if batches arrive faster, does not report queue depth alone as a performance result, and draws no NPU acceleration claim from the CUDA-oriented DALI source"
+ },
+ "recommendations": [
+ "Record dataset format, sample sizes, workers per host, ordering, cache state and executor mode before proposing one change.",
+ "Increase Mosaic look-ahead only when readiness starvation is observed and cache headroom exists; otherwise address shard and working-set residency first.",
+ "Check the exact DALI configuration surface before use, because the constructor and deserialization paths use different queue keys.",
+ "In a later comparison, separate warm-cache throughput from cold retrieval and initialization, and report step time with input wait, host/HBM peaks and actual I/O."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -73,10 +95,27 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Diagnosing training input stalls and choosing bounded queue, shard-cache and cache-ownership changes from DALI, Mosaic Streaming and FFCV, while preserving execution-mode gates, sample ordering and per-host memory budgets and separating remote downloads, local storage reads and host/device transfers",
+ "prerequisites": "The pinned readset and its license constraints are read; reading authorizes no commands, cache manipulation or experiment",
+ "input_contract": "Dataset format, sample-size distribution, workers and ranks per host, ordering/shuffle, local-cache state and executor mode; a per-host memory budget that includes checkpoint staging and runtime offload; timings that separate remote fetch, decompression/decoding, transformation, batch readiness and device transfer",
+ "produced_artifact": "One proposed queue, shard-cache or cache-ownership change with its source-backed rule and boundary, the evidence proposed to confirm it, and a verification contract for a separately authorized comparison; no input-throughput, model-quality or hardware result",
+ "failure_modes": [
+ "Low accelerator utilization is taken to identify which producer stage is late",
+ "Missing legacy DALI statistics are read as zero use, or the execution mode is switched silently to obtain them, which changes the comparison",
+ "DALI run() returning is read as output-ready timing instead of the outputs() synchronization boundary",
+ "Mosaic predownload is treated as a byte cap or request count, or per-worker sample targets are multiplied into an exact network-byte prediction",
+ "Look-ahead is increased when the local cache cannot retain the working set, so evicted shards are downloaded again",
+ "cache_limit is read as a bound on total process RAM, or the constructor minimum as an optimum or a guarantee against thrashing",
+ "An FFCV memory map is taken as proof that its pages are resident"
+ ],
+ "refusal_point": "Rejects changes that violate sample coverage or the stated reproducibility contract even if batches arrive faster, does not report queue depth alone as a performance result, and draws no NPU acceleration claim from the CUDA-oriented DALI source"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Record dataset format, sample sizes, workers per host, ordering, cache state and executor mode before proposing one change.",
+ "Increase Mosaic look-ahead only when readiness starvation is observed and cache headroom exists; otherwise address shard and working-set residency first.",
+ "Check the exact DALI configuration surface before use, because the constructor and deserialization paths use different queue keys.",
+ "In a later comparison, separate warm-cache throughput from cold retrieval and initialization, and report step time with input wait, host/HBM peaks and actual I/O."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
index 6fa18cd42..5ccb61c0c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json",
@@ -49,7 +49,7 @@
"checkout_ref": "checkout:training-resource-budget",
"source_files": {
"src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md": "d3805c5f605faae663ad5a674a56c1e1e5fdd211cd58833c008e557cfd7e4c37",
- "src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json": "adb0473945920794e07f62e19230683e6f8b2a0f07f91d41a451374f919d343b",
+ "src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json": "9ae014b0ca5ca5d32e31e05b52e7436ad1c197fdce8d731fd4d9c79965fd4f2d",
"src/inferrsi/data/skill_library/methods/training-resource-budget/references/mindspeed-historical.md": "ad65c27f278c3d0ca3599a7630c02d3e529477a05b71b7703bd2d75f0d8fdd2c",
"src/inferrsi/data/skill_library/methods/training-resource-budget/references/mindspeed-source-readset.md": "4462d69ed6a941a03639c756968be3ce54f947e51f6ca618f4fb1cd43b643b35",
"src/inferrsi/data/skill_library/methods/training-resource-budget/references/papers-20261015/INTEGRATION_NOTES.md": "c55c6ad2131ef788866411dcc7056f221420ebff30c95c6bc919b09a4818cb73",
@@ -80,6 +80,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Choosing training offload and resource-budget changes from pinned DeepSpeed configuration, attributed expert diagnosis and a historical MindSpeed case, balancing accelerator capacity, CPU work, pinned RAM and local storage while keeping host/device transfer exposure distinct from collective network bottlenecks",
+ "prerequisites": "The source boundaries are read; garbage-collection or affinity changes, privileged memlock changes and delayed parameter updates each need separate approval, and the skill authorizes no newest-wheel installation, scheduler-priority change, benchmark or failure injection; historical MindSpeed reuse requires compatible allocator symbols, tracked swappable storage, sufficient host capacity and verified device/NUMA/CPU mapping, not merely the presence of npu-smi and lspci",
+ "input_contract": "State attributed to parameters, optimizer state, gradients or activations with its current memory tier, lifetime and next consumer; whether the failure is allocation capacity or throughput; a per-host budget for input buffers, checkpoint snapshots, offloaded state, OS cache and CPU workers with the actual ranks sharing the host; the host/device link recorded apart from collective traffic; the exact source version and enabled execution mode",
+ "produced_artifact": "A candidate decision record per proposal: the observed limiting interval and owning state or resource, source version and execution mode, capacity released and resources consumed with units and uncertainty, overlap readiness and mutation boundaries with expected contention, and the fixed-workload step and correctness evidence required for later validation",
+ "failure_modes": [
+ "A change that lets the model fit is presented as a speedup, although it can slow each step",
+ "A tensor copied to CPU is taken as an InfiniBand/RoCE bottleneck, or CPU/NVMe offload is counted as network evidence",
+ "Parameter max_in_cpu is read as a byte or total-host-memory cap instead of an element count",
+ "NVMe optimizer placement is assumed to remove CPU optimizer demand",
+ "The parameter buffer-pool count is transplanted to the optimizer, or all optimizers are assumed to hold identical states",
+ "Configuration presence or schema documentation is taken as evidence that a knob or overlap actually ran",
+ "Ordinary overlap is taken as permission for delayed, stale parameter updates"
+ ],
+ "refusal_point": "Claims no hardware validation, measured gain or current NPU compatibility, keeps source support and extracted coverage separate from measured improvement, and does not reuse the MindSpeed headline gain; historical source observations do not establish current-stack compatibility, whole-model correctness or measured benefit"
+ },
+ "recommendations": [
+ "Attribute the state and separate a capacity failure from a throughput bottleneck before choosing an offload surface.",
+ "Verify the consumer of buffer_size before calculating bytes or tuning it, and measure the executing path before claiming a knob ran.",
+ "Compare the whole step's critical path, not host capacity alone.",
+ "Use plan-activation-residency, choose-parallel-training-plan and assess-split-backward-schedule for live-range, parallel-plan and backward-ordering questions."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -97,10 +119,27 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Choosing training offload and resource-budget changes from pinned DeepSpeed configuration, attributed expert diagnosis and a historical MindSpeed case, balancing accelerator capacity, CPU work, pinned RAM and local storage while keeping host/device transfer exposure distinct from collective network bottlenecks",
+ "prerequisites": "The source boundaries are read; garbage-collection or affinity changes, privileged memlock changes and delayed parameter updates each need separate approval, and the skill authorizes no newest-wheel installation, scheduler-priority change, benchmark or failure injection; historical MindSpeed reuse requires compatible allocator symbols, tracked swappable storage, sufficient host capacity and verified device/NUMA/CPU mapping, not merely the presence of npu-smi and lspci",
+ "input_contract": "State attributed to parameters, optimizer state, gradients or activations with its current memory tier, lifetime and next consumer; whether the failure is allocation capacity or throughput; a per-host budget for input buffers, checkpoint snapshots, offloaded state, OS cache and CPU workers with the actual ranks sharing the host; the host/device link recorded apart from collective traffic; the exact source version and enabled execution mode",
+ "produced_artifact": "A candidate decision record per proposal: the observed limiting interval and owning state or resource, source version and execution mode, capacity released and resources consumed with units and uncertainty, overlap readiness and mutation boundaries with expected contention, and the fixed-workload step and correctness evidence required for later validation",
+ "failure_modes": [
+ "A change that lets the model fit is presented as a speedup, although it can slow each step",
+ "A tensor copied to CPU is taken as an InfiniBand/RoCE bottleneck, or CPU/NVMe offload is counted as network evidence",
+ "Parameter max_in_cpu is read as a byte or total-host-memory cap instead of an element count",
+ "NVMe optimizer placement is assumed to remove CPU optimizer demand",
+ "The parameter buffer-pool count is transplanted to the optimizer, or all optimizers are assumed to hold identical states",
+ "Configuration presence or schema documentation is taken as evidence that a knob or overlap actually ran",
+ "Ordinary overlap is taken as permission for delayed, stale parameter updates"
+ ],
+ "refusal_point": "Claims no hardware validation, measured gain or current NPU compatibility, keeps source support and extracted coverage separate from measured improvement, and does not reuse the MindSpeed headline gain; historical source observations do not establish current-stack compatibility, whole-model correctness or measured benefit"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Attribute the state and separate a capacity failure from a throughput bottleneck before choosing an offload surface.",
+ "Verify the consumer of buffer_size before calculating bytes or tuning it, and measure the executing path before claiming a knob ran.",
+ "Compare the whole step's critical path, not host capacity alone.",
+ "Use plan-activation-residency, choose-parallel-training-plan and assess-split-backward-schedule for live-range, parallel-plan and backward-ordering questions."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
index 3db6ed71a..14c18faf6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/assets/campaign.template.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
index 950bc634c..be0b8913f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
index c964fcd72..0f2b596b9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json",
@@ -49,7 +49,7 @@
"checkout_ref": "checkout:weight-loading-optimization",
"source_files": {
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md": "a1bf0e2ec066d5f30225c6cc5fb603f830f48eb5e2aee3fc3d084ed9d8aebe2f",
- "src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json": "6df47ea943e42a11807c54869774957ac2383266120caad730f788207403581c",
+ "src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json": "ebcc5425d7b6409e5c509122e9dc76bed1caab09d73daf013d96086d7faaba2b",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/references/fastsafetensors-transfer-readset.md": "5a39f14b102b0cee304541e011aa31e44e6b13527d1bee9987c3f3b66c064d3d",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/references/flare-preparation-boundary.md": "1d7922785a196bdbafdc9791fe79428465a5acc0292ca8f99446f8c764b35454",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/references/llama-loading-readset.md": "6c640f28ee3f0253a17b81461c865cb9f947367002cb75bf72550c4572d02e97",
@@ -136,6 +136,32 @@
}
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Diagnosing the serving-level weight load path from storage to device and choosing changes to it when startup or loading latency dominates: locating the cost by source, format, placement and duplication, accounting once-per-process loading and warmup apart from per-request cost, verifying sharded downloads, restricting device-side prefetch to profiled memory-bound hot spots and ordering CPU-tier offload; also covers source-scoped disk-loading modes, pinned staging, synchronous checkpoint save semantics, fastsafetensors broadcast/scatter/coalesced delivery and the separation of model preparation from serving. Request-time host overhead belongs to host-overhead-profiling, DCP asynchronous save performance to dcp-async-save-performance and distributed recovery validity to checkpoint-recovery-consistency",
+ "prerequisites": "Flag names and API entry paths are re-verified against the pinned source revisions, and torch_npu.npu_prefetch details against the target CANN version, before they are relied on; card state is checked before launch and process placement fixed before measuring, through ascend-device-health and os-process-placement; the Diffusers enable_model_cpu_offload path requires accelerate",
+ "input_contract": "The current load path's byte source, file format, host-first or direct device placement and duplicated copies across processes or instances; startup timings for loading and warmup with byte and access counts per segment, and the expected warmup hit criteria; the safetensors index weight_map and the downloaded shard set; a profile showing memory-bound hot spots and the adjacent compute or communication segments; free device memory and whether an OOM occurs during construction or inference; for cross-rank delivery, the file-to-loader-group-rank map, tensor names, shapes, dtypes and call order, the required replicated or sliced output, the model's expected shard layout and the collective backend",
+ "produced_artifact": "The located load-path cost on the four dimensions with its matching lever, a startup ledger that keeps fixed overhead apart from per-request cost, a structural shard-completeness result naming the missing shards, a prefetch proposal behind an enable_prefetch switch defaulting to False or a recorded decision not to prefetch, an offload candidate order, the recorded loading mode, a distributed delivery choice with its proposed verification, and a preparation/serving record of serialized and rebuilt state, live resource owners and ABI/prepared-contract versions; proposed changes and verification targets, not a measured startup or delivery gain",
+ "failure_modes": [
+ "Loading and warmup are amortized into per-request latency, or a host segment without timing points is treated as costing nothing",
+ "Warmup is accepted on total time while mismatched warmup shapes have warmed a different set of cache entries",
+ "In-flight .incomplete shards are re-downloaded as corrupt, or gap-free shard numbering is accepted without matching the index weight_map",
+ "Prefetch is forced without a profiled memory-bound hot spot or a non-memory-bound dependency window",
+ "Resolution or CFG tier-downs are applied to a construction-phase OOM, or offload is adopted when compute already hides the transfer",
+ "A free-memory probe runs on an mmap-backed load, or a run whose first mlock failure latched with only a warning is treated as fully resident",
+ "Disk counters that include cache and pipes are read as physical writes, or a run without a page-cache drop is reported as a cold start",
+ "The ceil-block scatter partition is used without checking it against the model's expected shard layout, or ranks run different orders or plans so their collectives mismatch",
+ "A faster H2D copy, local clone or rank-local filtered read is counted as a cross-rank communication gain"
+ ],
+ "refusal_point": "Withholds a load-path win until the verification checklist holds and keeps the distributed-delivery checks as verification targets rather than results; does not force prefetch without a safe dependency window and disables it when neither a smaller size nor a moved position removes a regression; records unsupported save behaviors as unknown; rejects mismatched execution ABI or prepared-contract versions instead of editing their tags; and implies no Ascend support from the llama.cpp or fastsafetensors mechanisms",
+ "hardware": "NPU for the device-side prefetch API (torch_npu.npu_prefetch, checked against the target CANN version) and the Diffusers offload playbook; the prefetch and fastsafetensors methodology transfers while the fastsafetensors and llama.cpp APIs do not, and cross-rank completion follows each collective backend's own wait contract"
+ },
+ "recommendations": [
+ "Report preparation/startup/readiness, warmups and measured work as separate numbers, with load latency split into init, header, io and get phases, the cold-cache protocol stated and the effective loading mode identical across compared runs.",
+ "Place each prefetch behind an enable_prefetch switch defaulting to False, start max_size at 50% of the theoretical size, verify a single operator first and step up to 0.7 and then 1.0 only after verified wins.",
+ "Try offload candidates in order of change surface: batch size, resolution, CFG/feature flags, CPU or layered offload, tensor-parallel degree, then activation checkpointing; re-estimate the un-overlapped transfer share after adopting each tier.",
+ "Record whole-set atomic publication, asynchronous checkpointing, multi-rank save coordination and crash durability as unknown for the fastsafetensors saver instead of assuming them.",
+ "Before adopting coalesced delivery, compare it disabled and enabled with identical checkpoint, rank mapping, backend, topology, dtype, cache state, chunk/queue budgets and consumer retention, then measure complete startup under the same accounting protocol."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Normalized provenance covers the existing llama.cpp loading slice at 3e390af18de1131dda27913c00511725b4274c8a and the fastsafetensors distributed-delivery slice at 219e2561a41ede2d5d8eba611c248bb0effbf580; other inherited claims remain unnormalized with original identities and limits retained.",
@@ -150,10 +176,31 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Diagnosing the serving-level weight load path from storage to device and choosing changes to it when startup or loading latency dominates: locating the cost by source, format, placement and duplication, accounting once-per-process loading and warmup apart from per-request cost, verifying sharded downloads, restricting device-side prefetch to profiled memory-bound hot spots and ordering CPU-tier offload; also covers source-scoped disk-loading modes, pinned staging, synchronous checkpoint save semantics, fastsafetensors broadcast/scatter/coalesced delivery and the separation of model preparation from serving. Request-time host overhead belongs to host-overhead-profiling, DCP asynchronous save performance to dcp-async-save-performance and distributed recovery validity to checkpoint-recovery-consistency",
+ "prerequisites": "Flag names and API entry paths are re-verified against the pinned source revisions, and torch_npu.npu_prefetch details against the target CANN version, before they are relied on; card state is checked before launch and process placement fixed before measuring, through ascend-device-health and os-process-placement; the Diffusers enable_model_cpu_offload path requires accelerate",
+ "input_contract": "The current load path's byte source, file format, host-first or direct device placement and duplicated copies across processes or instances; startup timings for loading and warmup with byte and access counts per segment, and the expected warmup hit criteria; the safetensors index weight_map and the downloaded shard set; a profile showing memory-bound hot spots and the adjacent compute or communication segments; free device memory and whether an OOM occurs during construction or inference; for cross-rank delivery, the file-to-loader-group-rank map, tensor names, shapes, dtypes and call order, the required replicated or sliced output, the model's expected shard layout and the collective backend",
+ "produced_artifact": "The located load-path cost on the four dimensions with its matching lever, a startup ledger that keeps fixed overhead apart from per-request cost, a structural shard-completeness result naming the missing shards, a prefetch proposal behind an enable_prefetch switch defaulting to False or a recorded decision not to prefetch, an offload candidate order, the recorded loading mode, a distributed delivery choice with its proposed verification, and a preparation/serving record of serialized and rebuilt state, live resource owners and ABI/prepared-contract versions; proposed changes and verification targets, not a measured startup or delivery gain",
+ "failure_modes": [
+ "Loading and warmup are amortized into per-request latency, or a host segment without timing points is treated as costing nothing",
+ "Warmup is accepted on total time while mismatched warmup shapes have warmed a different set of cache entries",
+ "In-flight .incomplete shards are re-downloaded as corrupt, or gap-free shard numbering is accepted without matching the index weight_map",
+ "Prefetch is forced without a profiled memory-bound hot spot or a non-memory-bound dependency window",
+ "Resolution or CFG tier-downs are applied to a construction-phase OOM, or offload is adopted when compute already hides the transfer",
+ "A free-memory probe runs on an mmap-backed load, or a run whose first mlock failure latched with only a warning is treated as fully resident",
+ "Disk counters that include cache and pipes are read as physical writes, or a run without a page-cache drop is reported as a cold start",
+ "The ceil-block scatter partition is used without checking it against the model's expected shard layout, or ranks run different orders or plans so their collectives mismatch",
+ "A faster H2D copy, local clone or rank-local filtered read is counted as a cross-rank communication gain"
+ ],
+ "refusal_point": "Withholds a load-path win until the verification checklist holds and keeps the distributed-delivery checks as verification targets rather than results; does not force prefetch without a safe dependency window and disables it when neither a smaller size nor a moved position removes a regression; records unsupported save behaviors as unknown; rejects mismatched execution ABI or prepared-contract versions instead of editing their tags; and implies no Ascend support from the llama.cpp or fastsafetensors mechanisms",
+ "hardware": "NPU for the device-side prefetch API (torch_npu.npu_prefetch, checked against the target CANN version) and the Diffusers offload playbook; the prefetch and fastsafetensors methodology transfers while the fastsafetensors and llama.cpp APIs do not, and cross-rank completion follows each collective backend's own wait contract"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Report preparation/startup/readiness, warmups and measured work as separate numbers, with load latency split into init, header, io and get phases, the cold-cache protocol stated and the effective loading mode identical across compared runs.",
+ "Place each prefetch behind an enable_prefetch switch defaulting to False, start max_size at 50% of the theoretical size, verify a single operator first and step up to 0.7 and then 1.0 only after verified wins.",
+ "Try offload candidates in order of change surface: batch size, resolution, CFG/feature flags, CPU or layered offload, tensor-parallel degree, then activation checkpointing; re-estimate the un-overlapped transfer share after adopting each tier.",
+ "Record whole-set atomic publication, asynchronous checkpointing, multi-rank save coordination and crash durability as unknown for the fastsafetensors saver instead of assuming them.",
+ "Before adopting coalesced delivery, compare it disabled and enabled with identical checkpoint, rank mapping, backend, topology, dtype, cache state, chunk/queue budgets and consumer retention, then measure complete startup under the same accounting protocol."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
index bfb303aef..21db0f788 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
index b45a5c730..3a1f19330 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/LICENSE",
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
index 2184f3923..0cf4ffe6b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
index 409fd2fe4..827e52113 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
index dc5b2f294..43fc3e93b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
@@ -36,8 +36,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
- "commit": "b3c091a61e128cb848ca826d2fdc6b8f9d10e6ff",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
+ "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/metadata.json",
From 012bdcc8524a56c65482e14561469111736ac907 Mon Sep 17 00:00:00 2001
From: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Date: Tue, 3 Nov 2026 12:24:25 +0800
Subject: [PATCH 6/6] Refresh hardware and framework projections from merged
sources
Regenerate the catalog and coverage report from the committed combined source.
Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
---
docs/skill-coverage.md | 48 +++++---
.../repo_packs/inferrsi/knowledge/README.md | 8 +-
.../ascend-aclgraph-capture-replay.json | 6 +-
.../ascend/skills/ascend-device-health.json | 6 +-
.../skills/ascend-distributed-parallel.json | 6 +-
.../ascend/skills/ascend-graph-mode.json | 6 +-
.../skills/ascend-model-adaptation.json | 6 +-
.../skills/ascend-operator-profiling.json | 6 +-
.../ascend/skills/ascend-operator-tuning.json | 6 +-
.../skills/ascend-optimization-casebook.json | 6 +-
.../skills/ascend-performance-analysis.json | 6 +-
.../ascend-video-diffusion-optimization.json | 6 +-
.../ascend/skills/ascendc-tiling-design.json | 6 +-
.../skills/cann-attribution-overlap.json | 6 +-
.../knowledge/ascend/skills/torch-npu.json | 4 +-
.../torchnpu-device-memory-lifecycle.json | 6 +-
...torchnpu-pinned-host-memory-lifecycle.json | 6 +-
.../skills/assess-serving-preemption.json | 6 +-
.../assess-split-backward-schedule.json | 6 +-
.../skills/audit-fixed-workload-claim.json | 6 +-
.../audit-h3-metal-fasth3-semantics.json | 6 +-
.../skills/audit-h3-runtime-residency.json | 6 +-
.../skills/audit-llama-runtime-state.json | 6 +-
.../audit-recurrent-kv-finalization.json | 6 +-
.../common/skills/audit-sd-cpp-residency.json | 6 +-
.../audit-sglang-diffusion-lifetimes.json | 6 +-
.../skills/audit-vllm-kv-lifetimes.json | 6 +-
.../bound-windowed-attention-replay.json | 6 +-
.../budget-speculative-verification.json | 6 +-
.../skills/calibrate-serving-simulation.json | 6 +-
.../skills/cgroup-resource-controls.json | 6 +-
.../checkpoint-recovery-consistency.json | 6 +-
.../skills/choose-parallel-training-plan.json | 6 +-
.../skills/cite-check-downstream-pr.json | 6 +-
.../common/skills/claim-contract.json | 6 +-
.../knowledge/common/skills/comfy-ui.json | 6 +-
.../common/skills/competitor-scan.json | 6 +-
.../skills/dcp-async-save-performance.json | 6 +-
.../skills/dense-performance-evidence.json | 6 +-
.../diagnose-vllm-admission-pressure.json | 6 +-
.../skills/diffusers-invocation-state.json | 6 +-
.../common/skills/draft-acceptance-issue.json | 6 +-
.../knowledge/common/skills/dwarfstar.json | 6 +-
.../evaluate-elastic-serving-placement.json | 6 +-
.../skills/generation-cache-lifecycle.json | 6 +-
.../common/skills/host-memory-management.json | 6 +-
.../skills/host-overhead-optimization.json | 6 +-
.../knowledge/common/skills/husky.json | 6 +-
.../skills/inference-benchmark-design.json | 112 ++++++++++++++----
.../inference-optimization-casebook.json | 6 +-
.../common/skills/kernel-writing-guide.json | 6 +-
.../common/skills/kv-tier-management.json | 6 +-
.../lazy-evaluation-stream-lifetimes.json | 6 +-
.../knowledge/common/skills/lily.json | 6 +-
.../knowledge/common/skills/lithos-metal.json | 6 +-
.../knowledge/common/skills/local-dream.json | 6 +-
.../knowledge/common/skills/mistral-rs.json | 6 +-
.../knowledge/common/skills/mlc-llm.json | 6 +-
.../knowledge/common/skills/mlx-swift-lm.json | 6 +-
.../common/skills/npu-skill-factory.json | 6 +-
.../skills/optimization-search-policy.json | 6 +-
.../common/skills/os-process-placement.json | 6 +-
.../skills/performance-ceiling-analysis.json | 6 +-
.../skills/plan-activation-residency.json | 6 +-
.../knowledge/common/skills/project-maya.json | 6 +-
.../knowledge/common/skills/pytorch.json | 4 +-
.../skills/repository-evolution-analysis.json | 6 +-
.../knowledge/common/skills/rsi-evidence.json | 6 +-
.../skills/skill-evolution-playbook.json | 6 +-
.../knowledge/common/skills/splash.json | 6 +-
.../common/skills/storage-io-measurement.json | 6 +-
.../skills/training-input-pipeline.json | 6 +-
.../skills/training-resource-budget.json | 6 +-
.../skills/video-diffusion-optimization.json | 6 +-
.../knowledge/common/skills/vllm-metal.json | 6 +-
.../skills/weight-loading-optimization.json | 6 +-
.../cuda/skills/audit-afd-p2p-exchanges.json | 6 +-
.../skills/audit-flare-session-lifecycle.json | 6 +-
.../diagnose-attention-bottlenecks.json | 6 +-
.../cuda/skills/host-overhead-profiling.json | 6 +-
.../cuda/skills/reason-hopper-kernels.json | 6 +-
81 files changed, 359 insertions(+), 273 deletions(-)
diff --git a/docs/skill-coverage.md b/docs/skill-coverage.md
index 6d8c7a56c..eb46c78f5 100644
--- a/docs/skill-coverage.md
+++ b/docs/skill-coverage.md
@@ -4,7 +4,7 @@ Generated from the registry, the skill sidecars and the two maintained
matrices. **Do not edit by hand**; regenerate after any registry, skill,
matrix or frozen-plan change.
-- Input digest: `sha256:f13646e6a8873ffb3a67c9695cf3cbaa2eaed2b17fb5f9d2e92a7a129fe46cfa`
+- Input digest: `sha256:2081c91cd7318ae75d1d50673b3a00c2f7be297ceb3ff53009a773c6d8c1476b`
- Regenerate: `python tools/build_skill_coverage.py`
- Verify without writing: `python tools/build_skill_coverage.py --check`
@@ -32,17 +32,17 @@ matrix: every field is copied from an owner that already maintains it.
| Measure | Value |
|---|---|
-| Registered skill ids | 77 |
-| By category | frameworks 3, hardware 22, methods 20, repositories 26, workflows 6 |
-| By backend | ascend 14, common 58, cuda 5 |
+| Registered skill ids | 79 |
+| By category | frameworks 5, hardware 22, methods 20, repositories 26, workflows 6 |
+| By backend | ascend 15, common 59, cuda 5 |
| Recorded on a numbered SearchSpace resource layer | 49 |
-| Recorded only in a supplementary guidance table (†) | 13 |
+| Recorded only in a supplementary guidance table (†) | 15 |
| Recorded on two or more resource layers | 24 |
-| Recorded in the Reference Matrix | 69 |
-| With a `metadata.json` sidecar | 77 |
+| Recorded in the Reference Matrix | 71 |
+| With a `metadata.json` sidecar | 79 |
| Selected by a frozen evaluation plan | 2 |
-| `SKILL.md` documents in the library | 124 |
-| Unregistered documents (excluded from every count above) | 47 |
+| `SKILL.md` documents in the library | 142 |
+| Unregistered documents (excluded from every count above) | 63 |
A complete inventory is not a coverage claim. Every registered row below
has an entry; that says the listing is exhaustive, not that inference
@@ -75,13 +75,15 @@ optimization is fully covered or that any procedure has measured benefit.
| [torchnpu-device-memory-lifecycle](../src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md) | ascend | Diagnose TorchNPU device-HBM reuse, cross-stream lifetimes, cache retention and fragmentation, then propose ... | Diagnose TorchNPU device-HBM reuse, stream lifetimes, fragmentation and ... | input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Ascend/pytorch (TorchNPU) @ `67511c53cd4c88014f6123de7097677e60e85faa` ...) | candidate · not_run · 1 readset(s) | no-eval |
| [torchnpu-pinned-host-memory-lifecycle](../src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md) | ascend | Diagnose TorchNPU pinned-host RAM allocation, asynchronous-copy lifetime, reuse and cache controls, then propose ... | Diagnose TorchNPU pinned-host RAM allocation, asynchronous-copy ownership/readiness ... | input_contract, produced_artifact, refusal_point
3 advice | 2 RAM/Host · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Ascend/pytorch (TorchNPU) @ `67511c53cd4c88014f6123de7097677e60e85faa` ...) | candidate · not_run · 1 readset(s) | no-eval |
-## Registered: Frameworks (3)
+## Registered: Frameworks (5)
| Skill | Backend | Declared task | Applicability | Conditions | SearchSpace layer / stage | Reference Matrix | State | Gaps |
|---|---|---|---|---|---|---|---|---|
-| [dcp-async-save-performance](../src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md) | common | Diagnose training-visible checkpoint pauses using PyTorch Distributed Checkpoint asynchronous saving and staging ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize
2 RAM/Host · Observe / Profile / Configure / Optimize / Verify
3 SSD · Observe / Profile / Configure / Optimize / Verify | 1 · Systems sources (C1 / DCP async-save-only approval — pytorch/pytorch @ ...) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
+| [dcp-async-save-performance](../src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md) | common | Diagnose training-visible checkpoint pauses using PyTorch Distributed Checkpoint asynchronous saving and staging ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize
2 RAM/Host · Observe / Profile / Configure / Optimize / Verify † guidance: PyTorch framework source procedures
3 SSD · Observe / Profile / Configure / Optimize / Verify † guidance: PyTorch framework source procedures | 1 · Systems sources (C1 / DCP async-save-only approval — pytorch/pytorch @ ...) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
| [diffusers-invocation-state](../src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md) | common | Trace Diffusers pipeline-wrapper and scheduler invocation state when repeated calls, from_pipe reuse or interruption ... | FluxPipeline and FlowMatchEulerDiscreteScheduler invocation ownership at this source pin ... | — | 2 RAM/Host † guidance: Diffusers invocation guidance (source-derived) | Diffusers invocation source extraction (huggingface/diffusers @ `aea7b70be0f594bcdc15a6f2677ee2ca85e49e8e` ...) | candidate · not_run · 1 readset(s) | no-eval |
| [lazy-evaluation-stream-lifetimes](../src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md) | common | Diagnose MLX lazy evaluation, cross-stream ordering and array-buffer lifetimes when timing, memory use or asynchronous ... | MLX evaluation/stream/buffer diagnosis at the pinned implementation; qualify the actual ... | — | 1 Accelerator † guidance: MLX framework guidance (source-derived) | MLX framework source extraction (ml-explore/mlx @ `bff10220c742907f0c68e55ff174aaea56f74e3d` (MIT)) | candidate · not_run · 1 readset(s) | no-eval |
+| [pytorch](../src/inferrsi/data/skill_library/frameworks/pytorch/pytorch/SKILL.md) | common | Operate and diagnose PyTorch installation, tensors and autograd, training and data, compilation and export, accelerator ... | Major user workflows and selected deep mechanisms of pinned pytorch/pytorch source; exact ... | failure_modes, input_contract, produced_artifact, refusal_point | 1 Accelerator † guidance: PyTorch framework source procedures
2 RAM/Host † guidance: PyTorch framework source procedures
3 SSD † guidance: PyTorch framework source procedures
4 Network † guidance: PyTorch framework source procedures | PyTorch framework operating graph (pytorch/pytorch @ `9a90a4fefcaafa63ac984621963a6fcc66aee68c`, source ...) | candidate · not_run · 1 readset(s) | no-eval |
+| [torch-npu](../src/inferrsi/data/skill_library/frameworks/torch-npu/torch-npu/SKILL.md) | ascend | Operate and diagnose TorchNPU on Ascend across installation, PrivateUse1 dispatch, operator development, memory and ... | Source-grounded TorchNPU operation and diagnosis; qualify the selected installed stack ... | failure_modes, input_contract, produced_artifact, refusal_point | 1 Accelerator † guidance: TorchNPU framework source procedures
2 RAM/Host † guidance: TorchNPU framework source procedures
4 Network † guidance: TorchNPU framework source procedures | TorchNPU framework operating graph (Ascend/pytorch @ `046934140b96836c3fcef14d0f39ae54dc0a06bf` ...) | candidate · not_run · 2 readset(s) | no-eval |
## Registered: Repositories (26)
@@ -126,7 +128,7 @@ optimization is fully covered or that any procedure has measured benefit.
| [choose-parallel-training-plan](../src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md) | common | Compare stage, device-mesh and operator-sharding candidates for static distributed training while accounting for ... | Comparing stage, device-mesh and operator-sharding candidates for static distributed ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Configure / Optimize / Verify
4 Network · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Alpa — [2201.12023v3](https://arxiv.org/abs/2201.12023v3)) | candidate · not_run · 1 readset(s) | no-eval |
| [dense-performance-evidence](../src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md) | common | Taxonomy of performance evidence an optimization agent needs, ordered by collection cost and diagnostic power. Maps ... | Deciding which performance evidence to collect next and which claim each evidence level ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Observe / Profile / Verify
2 RAM/Host · Verify
4 Network · Verify | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 0 readset(s) | — |
| [evaluate-elastic-serving-placement](../src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md) | common | Compare migrating an LLM request between model replicas with changing its sequence-parallel execution group, including ... | Comparing migration of a running LLM request between compatible model replicas with ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Configure / Optimize / Verify
2 RAM/Host · Diagnose / Configure / Optimize / Verify
4 Network · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Llumnix — [2406.03243v1](https://arxiv.org/abs/2406.03243v1)) | candidate · not_run · 1 readset(s) | no-eval |
-| [inference-benchmark-design](../src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md) | common | Select task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents ... | Selecting task quality gates, reference parity checks and performance workloads for text ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | — | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
Task-specific benchmark selection (issue #60) ([Issue #60 report](https://github.com/InferMatrixLab/InferRSI/issues/6 ...)
Task-specific benchmark selection (issue #60) ([NVIDIA/NeMo-Speech.cpp @ 20999cc9](https://github.com/NVIDIA/NeMo-Spe ...) | candidate · not_run · 5 readset(s) | no-SearchSpace-layer |
+| [inference-benchmark-design](../src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md) | common | Select task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents ... | Selecting task quality gates, reference parity checks and performance workloads for text ... | failure_modes, input_contract, produced_artifact, refusal_point
5 advice | — | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
Task-specific benchmark selection (issue #60) ([Issue #60 report](https://github.com/InferMatrixLab/InferRSI/issues/6 ...)
Task-specific benchmark selection (issue #60) ([NVIDIA/NeMo-Speech.cpp @ 20999cc9](https://github.com/NVIDIA/NeMo-Spe ...) | candidate · not_run · 7 readset(s) | no-SearchSpace-layer |
| [inference-optimization-casebook](../src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md) | common | How to structure and use a casebook of past optimization decisions as a decision-support tool. Extracts the casebook ... | Structuring and querying a casebook of past optimization decisions as decision support ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Optimize | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd) | candidate · not_run · 0 readset(s) | no-eval |
| [kernel-writing-guide](../src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md) | common | Decision guide for writing custom inference kernels: when to write one, which framework to choose (Triton, CuTe DSL ... | Deciding whether to write a custom inference kernel, routing a kernel pattern to Triton ... | failure_modes, input_contract, produced_artifact, refusal_point
6 advice | 1 Accelerator · Optimize / Diagnose / Configure / Verify | 1 · Systems sources (Dao-AILab/causal-conv1d @ `cd81f0413cad2fc1e6f17e785ac39f59aae690cd` ...)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (huggingface/transformers @ `0dad7b822255a0ae261ec45ae937371e859ffd1a` ...)
1 · Systems sources (mindspore-ai/akg @ `5aa15f3fe4d856eb60cd3b27447e04f5f1fb4dff` ...)
1 · Systems sources (sgl-project/sglang @ `16176278d0180f1a1a578e53e6eef432577876c2` ...)
1 · Systems sources (vllm-project/vllm @ `537a79f0fc5ba564d2bef43d54915b2f80f9f77d` (root ...) | candidate · not_run · 7 readset(s) | no-eval |
| [optimization-search-policy](../src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md) | common | Policy for how an optimization agent should select, order, and stop optimization experiments. Covers candidate ... | Selecting, ordering and stopping optimization experiments: candidate generation ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Optimize | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (RRSI — arXiv 2609.24972v3)
2 · Methodology and corpus references (arXiv 2608.01867 (CRISP))
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 9 readset(s) | no-eval |
@@ -152,13 +154,29 @@ optimization is fully covered or that any procedure has measured benefit.
## Documents outside the registry
-47 `SKILL.md` documents are not registered, so they have
+63 `SKILL.md` documents are not registered, so they have
no stable id and no row above. They are engine entrypoints, their
sub-skills, and the research router. Counting them would inflate coverage:
an entrypoint routes to procedures below it rather than adding one.
| Directory | Kind |
|---|---|
+| `frameworks/pytorch/pytorch/sub-skills/compiler-and-export` | sub-skill |
+| `frameworks/pytorch/pytorch/sub-skills/custom-operators-and-extension` | sub-skill |
+| `frameworks/pytorch/pytorch/sub-skills/distributed-and-checkpoint` | sub-skill |
+| `frameworks/pytorch/pytorch/sub-skills/installation-and-build` | sub-skill |
+| `frameworks/pytorch/pytorch/sub-skills/memory-streams-and-graphs` | sub-skill |
+| `frameworks/pytorch/pytorch/sub-skills/profiling-and-debugging` | sub-skill |
+| `frameworks/pytorch/pytorch/sub-skills/tensor-dispatch-autograd` | sub-skill |
+| `frameworks/pytorch/pytorch/sub-skills/training-and-data` | sub-skill |
+| `frameworks/torch-npu/torch-npu/sub-skills/distributed-and-hccl` | sub-skill |
+| `frameworks/torch-npu/torch-npu/sub-skills/graph-and-compile` | sub-skill |
+| `frameworks/torch-npu/torch-npu/sub-skills/installation-and-compatibility` | sub-skill |
+| `frameworks/torch-npu/torch-npu/sub-skills/memory-streams-and-events` | sub-skill |
+| `frameworks/torch-npu/torch-npu/sub-skills/operator-development` | sub-skill |
+| `frameworks/torch-npu/torch-npu/sub-skills/privateuse1-and-dispatch` | sub-skill |
+| `frameworks/torch-npu/torch-npu/sub-skills/profiling-and-debugging` | sub-skill |
+| `frameworks/torch-npu/torch-npu/sub-skills/training-and-precision` | sub-skill |
| `repositories/dwarfstar/sub-skills/qualification` | sub-skill |
| `repositories/dwarfstar/sub-skills/runtime-memory` | sub-skill |
| `repositories/dwarfstar/sub-skills/serving-state` | sub-skill |
@@ -209,7 +227,7 @@ an entrypoint routes to procedures below it rather than adding one.
## Integrity checks
-- Registered ids resolve to an existing `SKILL.md`: 77 of 77.
+- Registered ids resolve to an existing `SKILL.md`: 79 of 79.
- Duplicate ids or paths: none; `skill_catalog` rejects them before this view is built.
- Skill links in the two matrices that do not resolve: 0.
- Registered skills without a `metadata.json` sidecar: 0.
@@ -222,7 +240,7 @@ an entrypoint routes to procedures below it rather than adding one.
| `no-Reference-Matrix-row` | 8: ascend-video-diffusion-optimization, audit-fixed-workload-claim, cite-check-downstream-pr, claim-contract, competitor-scan, draft-acceptance-issue, rsi-evidence, video-diffusion-optimization |
| `no-sidecar` | 0: — |
| `no-applicability` | 4: audit-vllm-kv-lifetimes, dcp-async-save-performance, diagnose-vllm-admission-pressure, kv-tier-management |
-| `no-eval` | 75: as listed in the Gaps column above |
+| `no-eval` | 77: as listed in the Gaps column above |
These are inventory gaps, not defects. A workflow skill may legitimately
have no hardware resource layer; a candidate may legitimately be untested.
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
index 1e9c00045..8bd394700 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
@@ -1,6 +1,6 @@
# InferRSI skill discovery index
-Generated abstracts for all 77 registered skills in `data/skill_library/`.
+Generated abstracts for all 79 registered skills in `data/skill_library/`.
Their complete procedures, references and cases ship in the same package.
`skill-index.json` maps stable skill IDs to categorized directories. The
reference and searchspace matrices
@@ -15,7 +15,7 @@ These are knowledge abstracts (`--kind knowledge`), with namespaced package
IDs distinct from explicitly selected `checkout_ref` skills. Ascend/CUDA
procedures use their corresponding backend; shared methods use `common`.
-Source snapshot: [df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8](https://github.com/InferMatrixLab/InferRSI/tree/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library).
+Source snapshot: [fb4171e87b4c78d4d62c927f297374ed917949f5](https://github.com/InferMatrixLab/InferRSI/tree/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library).
```bash
inferrsi knowledge search 'profiling' --repo-type inferrsi --limit 50
@@ -29,7 +29,7 @@ contain the current input paths and bytes (Git checkout filters are respected).
```bash
python tools/build_skill_index.py --source-revision
-python tools/build_skill_index.py --source-revision df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8 --check
+python tools/build_skill_index.py --source-revision fb4171e87b4c78d4d62c927f297374ed917949f5 --check
```
`--check` detects missing, stale and unexpected generated records without writing.
@@ -101,12 +101,14 @@ References and cases ship with their owning skill, not as duplicate knowledge ab
| [performance-ceiling-analysis](common/skills/performance-ceiling-analysis.json) | common | candidate |
| [plan-activation-residency](common/skills/plan-activation-residency.json) | common | candidate |
| [project-maya](common/skills/project-maya.json) | common | candidate |
+| [pytorch](common/skills/pytorch.json) | common | candidate |
| [reason-hopper-kernels](cuda/skills/reason-hopper-kernels.json) | cuda | candidate |
| [repository-evolution-analysis](common/skills/repository-evolution-analysis.json) | common | candidate |
| [rsi-evidence](common/skills/rsi-evidence.json) | common | candidate |
| [skill-evolution-playbook](common/skills/skill-evolution-playbook.json) | common | candidate |
| [splash](common/skills/splash.json) | common | candidate |
| [storage-io-measurement](common/skills/storage-io-measurement.json) | common | candidate |
+| [torch-npu](ascend/skills/torch-npu.json) | ascend | candidate |
| [torchnpu-device-memory-lifecycle](ascend/skills/torchnpu-device-memory-lifecycle.json) | ascend | candidate |
| [torchnpu-pinned-host-memory-lifecycle](ascend/skills/torchnpu-pinned-host-memory-lifecycle.json) | ascend | candidate |
| [training-input-pipeline](common/skills/training-input-pipeline.json) | common | candidate |
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
index 8a836ce21..59b4ce2c3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json",
@@ -41,7 +41,7 @@
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md": "d494fc7e539cbb7388189bd7b3f04bb5c4983fdd7a82484348aad1cee7f741f2",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json": "3ac69dd82ae798450092c830b62f4958dc2f5b1c7000f9c3f822f2b0693f8af4",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/references/source-notes.md": "6ffbfb68cc7e04923b4fbca2a73a7555b7c3b45a6f40819bb5f3213ef05cf88d",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "ascend-aclgraph-capture-replay",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
index 13c800f04..f9058b075 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json",
@@ -41,7 +41,7 @@
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md": "03829039860ece35519f2e4c339a48b5014ec25e07a2c150a3efb6a3a4e35b4a",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json": "f643185563dbf528a5a1f2b0561685ae34302a9efc9900c6753a7168b4e8b329",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "ascend-device-health",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
index 2faa2abb9..69cf7ceba 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json",
@@ -53,7 +53,7 @@
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/references/hccl-LICENSE.md": "05205a02acebd671c78d3b876c1f6097b84cce89780f5d9bdc204bfbea92d0c1",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/references/hccl-allreduce-readset.json": "4a3d403986dfceaa28605f2f30b79545e1efdc27f35c88755402b75b4d13d7e2",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/references/hccl-allreduce.md": "4770bba0090ed5ead3d2fd3b2cce2d21ba708acae3e0b4d859cc503499da5b93",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "ascend-distributed-parallel",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
index 64c45d637..d4224a4e2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json",
@@ -52,7 +52,7 @@
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/references/torchair-LICENSE.md": "bc07d81fa332b6543463588a120518c57b5ce8582d3747de75d2f6b09b068c01",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/references/torchair-graph-path.md": "272424571ff439278c8f2675406eae7da9a6482c581973e24319739fa0e58348",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/references/torchair-graph-readset.json": "eb84cbd5c355a88ee013dc7e428b274162e0e13e85845b58526113b0d6a2b46b",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "ascend-graph-mode",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
index 4fb0a614f..3a338ea45 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json",
@@ -40,7 +40,7 @@
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md": "8fdf46fb2743b67a66bc069d22a45305a222debfb606777bc451b4b8f31d9cc6",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json": "989b91821b36c0b80caf1323ec527e7ac847219b8f4fe8ca4ea22d292365cc3c",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "ascend-model-adaptation",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
index dc5703dd3..a5bf84b10 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json",
@@ -41,7 +41,7 @@
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md": "401981cf7828edcab0c9ea882f7ecd83badfa3c2a95006e912cf99d67b3d6a12",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json": "b2b93637f01546ecb1b7076be6798d234988c594cccdcb764ad222af9ad21af9",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "ascend-operator-profiling",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
index b064083ca..6b1a09850 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json",
@@ -42,7 +42,7 @@
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md": "38b151bc6b4e9734c6fa41efb7a30343559400c0c75bbdd26bd8a968b8ea4592",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json": "776fe88247ddacd3cf245920c580a9ff8f2a80fbc0ad1fa7d8be6d63b15a66f7",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "ascend-operator-tuning",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
index 36db6b787..9f00de82c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json",
@@ -40,7 +40,7 @@
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md": "647f5e9a288f2c4e1617ba53df59d9d827df749eb4fe86182d21a9c41175caf8",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json": "e5e49bf7b24fbc32ddaf1aa8ec14051ef6393533b12bb2c55fff2fb0da927541",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "ascend-optimization-casebook",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
index d11020201..2f257c972 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/metadata.json",
@@ -44,7 +44,7 @@
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/metadata.json": "f3fb35b14b5b1054a9192459862451149395368f4a75f430caef2f41ad050296",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/references/cannbot-CANN-2.0-LICENSE.md": "89b1c114df62cfd183004f38d18d07f186436c3b37203dd69c3e84becf9d2282",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/references/cannbot-stage-evidence.md": "f56e4125325c9c1b9235a1d64fd732861c7686444492422daff44ba8dd648be4",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "ascend-performance-analysis",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
index 57b53b670..0317d20ca 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/metadata.json",
@@ -46,7 +46,7 @@
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md": "53c21e64f0dd47f9510faef1f2c01e1283899787ba7ebfe70cdabd8e57a76f00",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/metadata.json": "35f725c9d9e0a8638b234da798232d2ae49a37b70f0b0360710bce333f9265ca",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/references/field-notes-video-diffusion.md": "dadac7b23462fdc325218c72ddf8a2ac553151761a5d3e45b854b53d2c8c6908",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "ascend-video-diffusion-optimization",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
index ef2826e30..6ea88932d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/metadata.json",
@@ -42,7 +42,7 @@
"source_files": {
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md": "93aa1b775ced304cebfe6c4dec0503ddb2260ecb3cb01edc17ce329446c5ce2b",
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/metadata.json": "03cfd09faa3edf42f9d08d0d8878fe5cb7c7a376abacf211dd8f500c698f3a8f",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "ascendc-tiling-design",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
index 76bcb7f06..9fc85b313 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/metadata.json",
@@ -42,7 +42,7 @@
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- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "cann-attribution-overlap",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torch-npu.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torch-npu.json
index deb5a8d02..9aa4f492c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torch-npu.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torch-npu.json
@@ -20,8 +20,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/8115da15b9ef34978de500b08aa9f14ea790c35b/src/inferrsi/data/skill_library/frameworks/torch-npu/torch-npu/SKILL.md",
- "commit": "8115da15b9ef34978de500b08aa9f14ea790c35b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/frameworks/torch-npu/torch-npu/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/frameworks/torch-npu/torch-npu/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/torch-npu/torch-npu/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
index 4a5df7d45..cb172cfa5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/metadata.json",
@@ -42,7 +42,7 @@
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md": "8428df7157af024fa17cfe0b3818ed54bd9f468306dda46eb8d4f0edf4f3f230",
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- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "torchnpu-device-memory-lifecycle",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
index 0dc3ee7ef..9a64b5a41 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/metadata.json",
@@ -42,7 +42,7 @@
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+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "torchnpu-pinned-host-memory-lifecycle",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
index ffe9ad276..8bb622e47 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json",
@@ -36,7 +36,7 @@
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md": "0a5f48d9352c5bf460775ef47f9136829978811f4a16e84983e299782cae305d",
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json": "3e2cea37f5669e7c60f7c01c390a48ea960b15cbd6de8f5340cf8fe2afb9e1a1",
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/references/source-notes.md": "f29fcecfba0490008a354c11b42403983fe165e56ff907ad61cc6040d2b6407f",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "assess-serving-preemption",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
index e7fc12687..abf0d4947 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/metadata.json",
@@ -36,7 +36,7 @@
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md": "1e64f28ea71672fb53c56f6108b87864738c6d03d6dcd32eedaef9e0625e96e3",
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- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "assess-split-backward-schedule",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
index ef5e03955..fdbdf3259 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
@@ -20,8 +20,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json",
@@ -38,7 +38,7 @@
"source_files": {
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"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json": "d36e8a6148b7ab830f1ddf6e573a865965502709a835ce460c37e3d4c386de95",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "audit-fixed-workload-claim",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
index abc757f5e..e1ea58288 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
@@ -65,7 +65,7 @@
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/references/source-notes.md": "f9430103644eacd9c55ace6f84d8587fc0bc063bfcd9cb60e6045b139a9fee05",
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/references/troubleshooting.md": "ed552d87f9fb9fb2c56de64df61f3fc6e2333cb049116cd0736f784c8a327612",
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/scripts/audit_fasth3.py": "05bfb9348cf88a76f4fba8bc8a600fe54246d83a98c1685bc4847ace28e2fbac",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "audit-h3-metal-fasth3-semantics",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
index 976a2648d..7d2147f9e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
@@ -66,7 +66,7 @@
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- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
index 8f92d0907..41c071fb0 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
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@@ -43,7 +43,7 @@
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+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
index fd1d8318c..5ae945020 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
@@ -26,8 +26,8 @@
"sources": [
{
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- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
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"src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
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+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
index 7b19edaa1..c32fef00c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
@@ -25,8 +25,8 @@
"sources": [
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- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
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"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
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+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
index ffc19ae40..8403d9756 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
@@ -23,8 +23,8 @@
"sources": [
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- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
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+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
index 00daeb74d..df9322c25 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
@@ -21,8 +21,8 @@
"sources": [
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- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
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+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
index e203d1262..d203e1729 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
@@ -23,8 +23,8 @@
"sources": [
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- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
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"skill_metadata": {
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
index ea9644ef4..816a7d646 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
@@ -23,8 +23,8 @@
"sources": [
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
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"skill_metadata": {
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
index 1f75e0bb6..3fa80c032 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
@@ -16,8 +16,8 @@
"sources": [
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- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
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@@ -36,7 +36,7 @@
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+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
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"skill_metadata": {
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
index 073b889d8..242a2926d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
@@ -25,8 +25,8 @@
"sources": [
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- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
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@@ -43,7 +43,7 @@
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+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
index d8cd9e3c3..d2ee84003 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
@@ -22,8 +22,8 @@
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- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
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"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json",
@@ -44,7 +44,7 @@
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json": "4185ff9f8b4c06d2a984753127780f29ceebf50d87b225a7697bfecccc2a4a60",
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/references/dlrover-persistence-replicas.md": "055f4357f79026fcbcc766bbe77db610376ec353623f8898f5d14a30ee69e7bc",
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/references/sources.md": "9425b1aab963a2c8d35f3db897bd15ee69699bf5b0d0c8425c3c8bba3e9a0233",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "checkpoint-recovery-consistency",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
index cf2d5a1fe..2d437e595 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json",
@@ -36,7 +36,7 @@
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md": "25d04aed9782b2a8ff1186828becdc7fce93c4418039ceaef9b8dcc5ec9bcd24",
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json": "4990d0a2f1a269111a680f45a5d91221af37e3f8b3ce514fea84e97878e767cd",
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/references/source-notes.md": "9f9184d46b19312138a6e805e439e43dc0594a0cc6b46675255a582dc946ca5b",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "choose-parallel-training-plan",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
index 13b85c877..8514044af 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
@@ -38,7 +38,7 @@
},
"checkout_ref": "checkout:cite-check-downstream-pr",
"source_files": {
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317",
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db",
"src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md": "485932cdf3b1fba5dc69be73e75d38f86a7b79442d26e82a296c963a7598d226",
"src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/metadata.json": "7a18f9dbb4894216802a44929b913990fc4bd8521cb60976d9435ee8f37e4265"
},
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
index 7e4c24ba0..9f55bdeeb 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
@@ -38,7 +38,7 @@
},
"checkout_ref": "checkout:claim-contract",
"source_files": {
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317",
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db",
"src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md": "3af1dbbe81d91cb05fc2ef15a2ae25d7592a08558e1a5535f49c52f33a488c55",
"src/inferrsi/data/skill_library/workflows/claim-contract/metadata.json": "25c0137cf347f75d7ff8f8305d9ff5f055c6881ddf4b708f923c3176de16c153"
},
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
index 1c7442196..1d8c71c05 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/repositories/comfy-ui/LICENSE",
"src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
@@ -50,7 +50,7 @@
"src/inferrsi/data/skill_library/repositories/comfy-ui/references/model-residency.md": "014c68386e7cdfdb7b4f566836e8b2ff61bd5a5a506e7b4723f83fe80c5d4de7",
"src/inferrsi/data/skill_library/repositories/comfy-ui/references/repo-provenance.md": "ca996ef515af42a3ce304747fa3f12a31c00533deaace5ba2ce21aefa0a62e2e",
"src/inferrsi/data/skill_library/repositories/comfy-ui/references/validation-boundaries.md": "1913dedbeb558d872d6a0e015cc11d822910c3cb259a236db29fb60ad8a64263",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "comfy-ui",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
index cc6a48610..58f20b2ea 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
@@ -37,7 +37,7 @@
},
"checkout_ref": "checkout:competitor-scan",
"source_files": {
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317",
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db",
"src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md": "0ede58ace65a9324a538b4816add1684f230ba536d4364fe5a5dd2c0bbed3776",
"src/inferrsi/data/skill_library/workflows/competitor-scan/metadata.json": "74b387e5df7b40cce9fd1ceee7ea1a26c258a4ed091144f2b366ef971895a2e8"
},
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
index a5e789ccc..1b82dd3f5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/metadata.json",
@@ -43,7 +43,7 @@
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md": "645139ee0c88ec865cad952e24cda35f4648d4b777b732c9b7d274b6c7830845",
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/metadata.json": "db7ad368394ccbfdeff6a16e3423c300d51305b1f95ff5c3936df91738a8cc35",
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/references/sources.md": "22afe4f4d77f441096cc657d55d763473bfcbea8fb531c8e493fe49ab84955f7",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "dcp-async-save-performance",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
index 2b39329ee..5939b6db3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json",
@@ -39,7 +39,7 @@
"source_files": {
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md": "53cc1867a13f54d1006d50517dea8848869ca50df3f0cd610b2424cc8d18c933",
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json": "041780985dcaf76809d29dc0d4e242359b17b6bcfaadab2d05674fa4699a5427",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "dense-performance-evidence",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
index f6f112ca5..4a38dafb4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/metadata.json",
@@ -67,7 +67,7 @@
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/references/papers-20261015/references/loongserve-readset.md": "f1a383e7bdbbd5a5a472d7f6e1292c8a17d4910ff736ca5a6aa422e1bee74f8c",
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/references/papers-20261015/references/orca-readset.md": "a497ef23b7e60c0fbc15d95b7e07cd20547cfe56f37c24dfe6ed70d79ef7a3cf",
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/references/source-notes.md": "84033fd514773f10c0bddd9914fabb980497ba2b308f226a922c3e1888413827",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "diagnose-vllm-admission-pressure",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
index 0a979ba2f..621e95c4d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/metadata.json",
@@ -46,7 +46,7 @@
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/references/ownership.md": "40688cc44183027efbf2fca8d3548c299cdf2e33fef54f76ab3549353eb9bd1b",
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/references/source-map.md": "10562a75683bd9bd07ec2e37a1cbd0f93f2534d6f85b55a566adb2d97485215f",
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/references/validation.md": "5a0b854b87d091d7d505b0bdd5c03330052507a851ab6edf35b93a6675f2d4f7",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "diffusers-invocation-state",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
index 35771e841..2ab425603 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
@@ -38,7 +38,7 @@
},
"checkout_ref": "checkout:draft-acceptance-issue",
"source_files": {
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317",
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db",
"src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md": "ce983acfb7d7d3272775e7cf00c92e4ddadd97511b602575a76e5ab7ade01b56",
"src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/metadata.json": "e97a665349f234d74baeaa20c6996bff990d0f45c40c0b7ac7283aa599cb951e"
},
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
index 795573b60..b455bf99d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/repositories/dwarfstar/LICENSE",
"src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
@@ -71,7 +71,7 @@
"src/inferrsi/data/skill_library/repositories/dwarfstar/sub-skills/serving-state/SKILL.md": "71c27212847146376d72e6cc6d22abe2f7eed56402c5917cd7dfcda0b2aa5982",
"src/inferrsi/data/skill_library/repositories/dwarfstar/sub-skills/serving-state/references/state-contracts.md": "8f74a07c947021e3069468268f6b5aa2548a17db518c5c0505b84dde73a1f31c",
"src/inferrsi/data/skill_library/repositories/dwarfstar/sub-skills/serving-state/references/troubleshooting.md": "c9eebe4109d418c4dfb9bb2425c145ebc1a52da9b665e0556149bc31a442e2fc",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "dwarfstar",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
index f700286a4..2d8d490bc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json",
@@ -36,7 +36,7 @@
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md": "82d0099d3c33706f46c657d4fa7f76d3d486e019b36760d1de001921328a60cc",
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json": "091a3b95d1a8996b5ad917e7948efb4ed598e31c7163709377f8e9199cebfe26",
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/references/source-notes.md": "ea416831fd7d0874e06d0a76fb0c7196df53072b717673a0cdf635db6bfd917b",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "evaluate-elastic-serving-placement",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
index adb41faf7..38e216200 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/metadata.json",
@@ -48,7 +48,7 @@
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/references/generation-batch.md": "f16d3c57d45e63bcaffd3871aa41c76972ee11f7dbf1e12b45d9b170303cad9b",
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/references/source-map.md": "91d26181f246307f2113f94b12ac9587d689b654dcd216e9f14b11cf5ebb650c",
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/references/validation.md": "73b5dd347017baba519ecc85415aead9993c1751d116b9ba4f07689f58c5f783",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "generation-cache-lifecycle",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
index e650ef5f6..2062bc005 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json",
@@ -66,7 +66,7 @@
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/references/vllm-ascend-LICENSE.md": "c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4",
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/references/vllm-ascend-native-offload-readset.json": "cc6c2011be746002ba3ff96ccefab1809863748ddd17eb102b75e7b0e134fe55",
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/references/vllm-ascend-native-offload.md": "6c2a72b5ba3708a01d229e0576570837a617e6a42dbb0b5312a26a65a6c31542",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "host-memory-management",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
index 1c9132951..ba15d0baf 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json",
@@ -42,7 +42,7 @@
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md": "36ef88826a32ac3147b869001004ded17a8d5a491e25bfe105005ba39ea9d1eb",
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json": "db3c63ca77a46e647a806e094ae662504768a958d537630a4d7bcabde35d6da3",
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/references/deepinfer-zero-overhead-scheduling.md": "f452bf40132c9195d739f1c86b3aa18857138c7ed0f1861af5853d93b9955924",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "host-overhead-optimization",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
index 6e0bfb5ef..6ed5c46e2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
"src/inferrsi/data/skill_library/repositories/husky/metadata.json",
@@ -51,7 +51,7 @@
"src/inferrsi/data/skill_library/repositories/husky/references/troubleshooting.md": "3948711437d25822d389dd857c72dc7fcc15727c9048d2e3eae3317d97aca6dd",
"src/inferrsi/data/skill_library/repositories/husky/references/verification-protocol.md": "83c5a966ed3f721b412b8d8417af8336c5a8c1e46044a888720936bf2f1deeab",
"src/inferrsi/data/skill_library/repositories/husky/scripts/audit_evidence_card.py": "291e62701ef7a37a5bfab963ea4e20abb94245bc015584223a101f18b1490895",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "husky",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
index 23de1269b..328af8a6c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
@@ -24,7 +24,10 @@
"image-generation",
"video-generation",
"asr",
- "stream-boundaries"
+ "stream-boundaries",
+ "treatment-delivery",
+ "trial-validity",
+ "protocol-audit"
],
"origin": [
"external"
@@ -32,11 +35,13 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json",
+ "src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/autotunebench-source.json",
+ "src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/autotunebench-trial-validity.md",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/benchmark-commands.md",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/cache-aware-asr-stream-boundaries.md",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/justgoal-evaluation-contracts.md",
@@ -44,7 +49,7 @@
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/task-benchmark-selection.md",
"src/inferrsi/data/skill_library/skill-index.json"
],
- "content_sha256": "a977e81fb83e3e476f66dc97133f1a60a35983bdfaec538ad5063defda41d4b7"
+ "content_sha256": "7fd7f557f5c99ca4ec4c46f2d97e67ecf280f5f0fdf071871a14cc08a7cb1c84"
}
],
"index_type": "packaged-skill",
@@ -53,14 +58,16 @@
},
"checkout_ref": "checkout:inference-benchmark-design",
"source_files": {
- "src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md": "a977e81fb83e3e476f66dc97133f1a60a35983bdfaec538ad5063defda41d4b7",
- "src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json": "3570ee36df8037c97c4692afe39316b62c0c91c28b2ea29ab9b72c5ae6740bb6",
+ "src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md": "7fd7f557f5c99ca4ec4c46f2d97e67ecf280f5f0fdf071871a14cc08a7cb1c84",
+ "src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json": "0880a9915d931a1b232d2250ff32790407803adf65f08020573d6d2cc6a18ff8",
+ "src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/autotunebench-source.json": "bc343ece2bf40c4e8aa4bd8d84f32465d00633255557feda5fe7799ce24e8688",
+ "src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/autotunebench-trial-validity.md": "cb3a7a5d94d056f868af07f92a16a6fef31eafd3199ed07ae79e93798e320b1d",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/benchmark-commands.md": "0898424e0bff3a6246e1eeeda6abd6c5bd974c047fe32f3bbd5ab9d31ce17cd3",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/cache-aware-asr-stream-boundaries.md": "4e0ea9c1bf6b096a49a91ad5266e90b8a456f4f5aca15eba8ac270a53c2309b5",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/justgoal-evaluation-contracts.md": "d25df795fd301e8a1bb436e5f8122d0bac2441c43104e59a3b310fd5a64f2f3e",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/justgoal-source.json": "60f2784384ea1a3b08a2ecafb60207d8e3707247dc7bc177b95b463d81f1cc16",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/task-benchmark-selection.md": "0d4bb080a754e26846e81680023db0dff5e6a4c96be4327c411c3b72ac4ef8e2",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "inference-benchmark-design",
@@ -80,7 +87,10 @@
"image-generation",
"video-generation",
"asr",
- "stream-boundaries"
+ "stream-boundaries",
+ "treatment-delivery",
+ "trial-validity",
+ "protocol-audit"
],
"status": "candidate",
"profile": "local-skill-v1",
@@ -256,14 +266,58 @@
"readset": "references/justgoal-source.json",
"license": "UNKNOWN",
"scope": "Complete 21-page paper and appendices: controlled comparison, independent correctness, repair/coverage and timing evidence; author-reported, no PDF/figure redistribution"
+ },
+ {
+ "type": "git",
+ "url": "https://github.com/li-ch/autotunebench",
+ "commit": "64cc8d7ca5d0ee40c4e2189b2c2c8dfb1a2a7c2f",
+ "paths": [
+ "ARTIFACT.md",
+ "README.md",
+ "CITATION.cff",
+ "LICENSE",
+ "config/protocol.yaml",
+ "pdb/ingest_validate.py",
+ "pdb/store.py",
+ "agents/loop.py",
+ "agents/adapter.py",
+ "orchestrator/cli.py",
+ "gates/g2_runtime.py",
+ "gates/g3_correctness.py",
+ "gates/g5_graduation.py",
+ "gates/schema.py",
+ "harness/kernel_bench.py",
+ "figs/plot_cand_ab_saturation.py",
+ "scripts/kernelbench_tabulate.py",
+ "experiments/kernelbench_l1/results/README.md",
+ "experiments/kernelbench_l1/results/TABLE.md",
+ "experiments/astra_parity/README.md",
+ "observability/iterations.jsonl",
+ "experiments/kernelbench_l1/kernelbench_tasks/UPSTREAM_LICENSE",
+ "experiments/kernelbench_l1/kernelbench_tasks/README.md"
+ ],
+ "readset": "references/autotunebench-trial-validity.md"
+ },
+ {
+ "type": "paper",
+ "id": "arxiv:2609.18123",
+ "version": "v1",
+ "url": "https://arxiv.org/abs/2609.18123v1",
+ "sections": [
+ "1-8",
+ "References",
+ "Figures 1-6",
+ "Tables 1-7"
+ ],
+ "readset": "references/autotunebench-trial-validity.md"
}
],
"empirical_validation": "not_run",
"applicability": {
- "scope": "Selecting task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents, cache-aware ASR, TTS, full-duplex audio/video, image and video inference, and designing goodput-based multi-regime comparisons that fit InferRSI's evidence trail",
+ "scope": "Selecting task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents, cache-aware ASR, TTS, full-duplex audio/video, image and video inference, and designing goodput-based multi-regime comparisons that fit InferRSI's evidence trail; interpreting treatment delivery, arm validity and stated-versus-observed protocol enforcement in supplied tuning reports",
"prerequisites": "The primary objective, timing boundary, quality gates, sample/failure accounting, required regimes, repetitions, seeds and decision rule are frozen before optimization; baseline and candidate share hardware, software stack, input distribution, benchmark configuration, warmup and measurement protocol, and on a shared machine also one time window and dedicated devices; cache-aware ASR also requires the selected model/config and first/steady geometry, decoded clock and reset/EOU/EOF boundaries to be established",
- "input_contract": "The task family and deployment use case; candidate quality evaluators and reference parity; the declared SLO and the caller's policy on which regimes must improve or must not regress; for an audit, a supplied fixed-workload report with request-to-trial grouping, exclusion and failure counts and the declared aggregation rule",
- "produced_artifact": "A frozen benchmark design with evaluators, reference parity, primary objective, timing boundary, quality gates, required regimes, repetition and seed rules and an explicit decision config, plus the evidence-tree layout a PASS claim must produce; for a supplied report, the computed threshold result and missing evidence. Candidate knowledge, not qualification of any model or backend",
+ "input_contract": "The task family and deployment use case; candidate quality evaluators and reference parity; the declared SLO and the caller's policy on which regimes must improve or must not regress; for an audit, a supplied fixed-workload report with request-to-trial grouping, exclusion and failure counts and the declared aggregation rule; for a treatment audit, the frozen delivery/arm-validity rules, run/candidate identities, feedback and consumer-input evidence, and per-arm raw records",
+ "produced_artifact": "A frozen benchmark design with evaluators, reference parity, primary objective, timing boundary, quality gates, required regimes, repetition and seed rules and an explicit decision config, plus the evidence-tree layout a PASS claim must produce; for a supplied report, the computed threshold result and missing evidence. Candidate knowledge, not qualification of any model or backend; for a treatment audit, a contract-bound eligibility and interpretation report separating treatment exposure, observed checks, comparator identity, anomaly disposition and source conflicts",
"failure_modes": [
"Raw throughput is optimized in place of goodput, so requests served outside the SLO count toward a win",
"One concurrency level or one undisclosed aggregate score stands in for all required regimes",
@@ -272,15 +326,19 @@
"Runs on the same hardware class, in different time windows or on shared devices are compared as if pinned",
"A quality pass is taken to certify that the timed work actually occurred",
"Best-seen results are reported as delivered without restarting and validating the final code/config artifact",
- "A cache-aware ASR EOU is treated as EOF or full reset, nominal chunk duration as the decoded mel frontier, or shape-only geometry PASS as a native model-state test"
+ "A cache-aware ASR EOU is treated as EOF or full reset, nominal chunk duration as the decoded mel frontier, or shape-only geometry PASS as a native model-state test",
+ "An enabled treatment or stored feedback summary is taken as proof of delivery to the next eligible consumer",
+ "A failed arm-validity condition is overridden by a favorable best timing or a saturation/null interpretation",
+ "Complete gate keys or zero recorded failures are read as proof that every declared protocol check ran"
],
- "refusal_point": "Records missing coverage and high-variance results as INCONCLUSIVE rather than a win; a run without a frozen RunSpec, or whose validator changed after the plan was frozen, is INCONCLUSIVE regardless of metric values; sets no universal numeric gate or noise threshold"
+ "refusal_point": "Records missing coverage and high-variance results as INCONCLUSIVE rather than a win; a run without a frozen RunSpec, or whose validator changed after the plan was frozen, is INCONCLUSIVE regardless of metric values; sets no universal numeric gate or noise threshold; withholds causal treatment benefit/null conclusions when required delivery or arm eligibility is unverified, and preserves conflicts between stated protocol, exported code and source reports"
},
"recommendations": [
"Freeze one primary objective, timing boundary, quality gates and sample/failure accounting before optimization.",
"Choose the required regimes from the deployment use case, report each separately, and record which must improve or must not regress in a versioned decision config.",
"Use the replay trace that matches the actual deployment pattern.",
- "State the concurrency, trace, model, SKU and microbenchmark scope boundaries in any report that cites benchmark results."
+ "State the concurrency, trace, model, SKU and microbenchmark scope boundaries in any report that cites benchmark results.",
+ "Trace treatment to its eligible consumer and apply the frozen arm-validity precedence before attributing benefit, saturation or a null."
],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
@@ -288,14 +346,17 @@
"Task benchmark knowledge is distilled from issue #60 with selected pinned-source rechecks; no all-task runtime qualification or optimization benefit is established.",
"Benchmark feasibility and package-consumption checks do not promote this candidate or replace task quality, repeated A/B and service qualification.",
"The pinned NeMo-Speech.cpp ASR reference covers selected source/test definitions and author-reported benchmark boundaries; native model/device, decoder internals, quality, long-audio/load and service behavior remain not_run.",
- "JustGoal contributes source-only controlled-evaluation and kernel-acceptance guidance; its repaired/retested timings, released-pass counts and protocol differences are author-reported, not locally reproduced or a complete campaign runner."
+ "JustGoal contributes source-only controlled-evaluation and kernel-acceptance guidance; its repaired/retested timings, released-pass counts and protocol differences are author-reported, not locally reproduced or a complete campaign runner.",
+ "The AutoTuneBench reference is source-only: original operational checkpoint/prompt receipts remain unavailable, source contradictions remain explicit, and no tuning, device/performance or agent-efficacy validation was run."
],
"provenance_readsets": [
"references/task-benchmark-selection.md",
"references/benchmark-commands.md",
"references/cache-aware-asr-stream-boundaries.md",
"references/justgoal-evaluation-contracts.md",
- "references/justgoal-source.json"
+ "references/justgoal-source.json",
+ "references/autotunebench-trial-validity.md",
+ "references/autotunebench-source.json"
],
"references": [
"../inference-optimization-casebook/cases/admission-drain-occupancy.md",
@@ -304,10 +365,10 @@
"consumption_mode": "packaged"
},
"applicability": {
- "scope": "Selecting task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents, cache-aware ASR, TTS, full-duplex audio/video, image and video inference, and designing goodput-based multi-regime comparisons that fit InferRSI's evidence trail",
+ "scope": "Selecting task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents, cache-aware ASR, TTS, full-duplex audio/video, image and video inference, and designing goodput-based multi-regime comparisons that fit InferRSI's evidence trail; interpreting treatment delivery, arm validity and stated-versus-observed protocol enforcement in supplied tuning reports",
"prerequisites": "The primary objective, timing boundary, quality gates, sample/failure accounting, required regimes, repetitions, seeds and decision rule are frozen before optimization; baseline and candidate share hardware, software stack, input distribution, benchmark configuration, warmup and measurement protocol, and on a shared machine also one time window and dedicated devices; cache-aware ASR also requires the selected model/config and first/steady geometry, decoded clock and reset/EOU/EOF boundaries to be established",
- "input_contract": "The task family and deployment use case; candidate quality evaluators and reference parity; the declared SLO and the caller's policy on which regimes must improve or must not regress; for an audit, a supplied fixed-workload report with request-to-trial grouping, exclusion and failure counts and the declared aggregation rule",
- "produced_artifact": "A frozen benchmark design with evaluators, reference parity, primary objective, timing boundary, quality gates, required regimes, repetition and seed rules and an explicit decision config, plus the evidence-tree layout a PASS claim must produce; for a supplied report, the computed threshold result and missing evidence. Candidate knowledge, not qualification of any model or backend",
+ "input_contract": "The task family and deployment use case; candidate quality evaluators and reference parity; the declared SLO and the caller's policy on which regimes must improve or must not regress; for an audit, a supplied fixed-workload report with request-to-trial grouping, exclusion and failure counts and the declared aggregation rule; for a treatment audit, the frozen delivery/arm-validity rules, run/candidate identities, feedback and consumer-input evidence, and per-arm raw records",
+ "produced_artifact": "A frozen benchmark design with evaluators, reference parity, primary objective, timing boundary, quality gates, required regimes, repetition and seed rules and an explicit decision config, plus the evidence-tree layout a PASS claim must produce; for a supplied report, the computed threshold result and missing evidence. Candidate knowledge, not qualification of any model or backend; for a treatment audit, a contract-bound eligibility and interpretation report separating treatment exposure, observed checks, comparator identity, anomaly disposition and source conflicts",
"failure_modes": [
"Raw throughput is optimized in place of goodput, so requests served outside the SLO count toward a win",
"One concurrency level or one undisclosed aggregate score stands in for all required regimes",
@@ -316,15 +377,19 @@
"Runs on the same hardware class, in different time windows or on shared devices are compared as if pinned",
"A quality pass is taken to certify that the timed work actually occurred",
"Best-seen results are reported as delivered without restarting and validating the final code/config artifact",
- "A cache-aware ASR EOU is treated as EOF or full reset, nominal chunk duration as the decoded mel frontier, or shape-only geometry PASS as a native model-state test"
+ "A cache-aware ASR EOU is treated as EOF or full reset, nominal chunk duration as the decoded mel frontier, or shape-only geometry PASS as a native model-state test",
+ "An enabled treatment or stored feedback summary is taken as proof of delivery to the next eligible consumer",
+ "A failed arm-validity condition is overridden by a favorable best timing or a saturation/null interpretation",
+ "Complete gate keys or zero recorded failures are read as proof that every declared protocol check ran"
],
- "refusal_point": "Records missing coverage and high-variance results as INCONCLUSIVE rather than a win; a run without a frozen RunSpec, or whose validator changed after the plan was frozen, is INCONCLUSIVE regardless of metric values; sets no universal numeric gate or noise threshold"
+ "refusal_point": "Records missing coverage and high-variance results as INCONCLUSIVE rather than a win; a run without a frozen RunSpec, or whose validator changed after the plan was frozen, is INCONCLUSIVE regardless of metric values; sets no universal numeric gate or noise threshold; withholds causal treatment benefit/null conclusions when required delivery or arm eligibility is unverified, and preserves conflicts between stated protocol, exported code and source reports"
},
"recommendations": [
"Freeze one primary objective, timing boundary, quality gates and sample/failure accounting before optimization.",
"Choose the required regimes from the deployment use case, report each separately, and record which must improve or must not regress in a versioned decision config.",
"Use the replay trace that matches the actual deployment pattern.",
- "State the concurrency, trace, model, SKU and microbenchmark scope boundaries in any report that cites benchmark results."
+ "State the concurrency, trace, model, SKU and microbenchmark scope boundaries in any report that cites benchmark results.",
+ "Trace treatment to its eligible consumer and apply the frozen arm-validity precedence before attributing benefit, saturation or a null."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
@@ -336,7 +401,8 @@
"Task benchmark knowledge is distilled from issue #60 with selected pinned-source rechecks; no all-task runtime qualification or optimization benefit is established.",
"Benchmark feasibility and package-consumption checks do not promote this candidate or replace task quality, repeated A/B and service qualification.",
"The pinned NeMo-Speech.cpp ASR reference covers selected source/test definitions and author-reported benchmark boundaries; native model/device, decoder internals, quality, long-audio/load and service behavior remain not_run.",
- "JustGoal contributes source-only controlled-evaluation and kernel-acceptance guidance; its repaired/retested timings, released-pass counts and protocol differences are author-reported, not locally reproduced or a complete campaign runner."
+ "JustGoal contributes source-only controlled-evaluation and kernel-acceptance guidance; its repaired/retested timings, released-pass counts and protocol differences are author-reported, not locally reproduced or a complete campaign runner.",
+ "The AutoTuneBench reference is source-only: original operational checkpoint/prompt receipts remain unavailable, source contradictions remain explicit, and no tuning, device/performance or agent-efficacy validation was run."
],
"verification": {
"locally_verified": false,
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
index c49e4bcc2..c096b8506 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/admission-drain-occupancy.json",
@@ -55,7 +55,7 @@
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/qwen-b300-rejected-directions.json": "146ea1564a46ed03092c7dc5796b318fc05b04b1821105ee00eb7fa7fa1333e2",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/qwen-b300-rejected-directions.md": "cce2930f544a0f78f21797fba4d8ded298e4a81f76c34d7977b0e31d361bc738",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/metadata.json": "963488658f327d2379183d70357eabf832d70a6a70db2aa67f548493f4088d97",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "inference-optimization-casebook",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
index ba8e621c0..ff9d9cf9f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
@@ -39,8 +39,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/causal-conv1d-dispatch-state.md",
@@ -89,7 +89,7 @@
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/references/sglang-gdn-causal-conv-contract.md": "c9f27b0231ddec3d14d6fa0831d1494ffd8e11bd8ad704e04be3bc4a4ffc0e58",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/references/sglang-gdn-source-files.json": "4c7ec2cfd2c29297e185ce09b4d9b2040fbe3635943c112f9ebb71dca8ab381b",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/references/vllm-gdn-causal-conv-contract.md": "eec09a6e95983c46b67d5f066d34419c17819899f5d8e3c65f2f163f2ada0fde",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "kernel-writing-guide",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
index 09a76d585..d3df286e1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/metadata.json",
@@ -42,7 +42,7 @@
"source_files": {
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md": "e4b78f368d70c8abb74a935acb910414015f1aeec1b50f7a295e836822ec4b27",
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/metadata.json": "c221189b8d85fac3bd41ef1c7cd560f1aebc8cfa0381c182d1d571a7169be829",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "kv-tier-management",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
index f18b9512a..43c831378 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/metadata.json",
@@ -46,7 +46,7 @@
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/references/execution-lifetime.md": "c4bc41e08aca68f661325f61e6f0db1760a079dc362f295c847bdc374fee3bf6",
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/references/source-map.md": "798b9cb89ed6b885eb47464ca9f137d2802a54571b9327e631d7742d3e5abd5d",
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/references/validation.md": "ebfc00bf7d6ab0a1dc415953ae84d56ccdc713d5614aff85e433c4a843793bff",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "lazy-evaluation-stream-lifetimes",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
index 64b2ca4e4..b7cc150a9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/repositories/lily/LICENSE",
"src/inferrsi/data/skill_library/repositories/lily/NOTICE.md",
@@ -77,7 +77,7 @@
"src/inferrsi/data/skill_library/repositories/lily/sub-skills/serving-cache/references/api-and-session.md": "7262bb077c24f2f7549d450473ec7944829940d09cca89db9c12f37ac90d5db0",
"src/inferrsi/data/skill_library/repositories/lily/sub-skills/serving-cache/references/troubleshooting.md": "6e2f36d2f7ab9eae665d87a676e34c0ebd2f46f3df6fa5f2e589a306749a87b5",
"src/inferrsi/data/skill_library/repositories/lily/sub-skills/serving-cache/scripts/request_template.py": "d6b00c9f0b38c7fb0a0e52e396993a832542ea0aa6e2456026fabc0c39a4d33a",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "lily",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
index e89a32a61..b9b43868d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/repositories/lithos-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
@@ -81,7 +81,7 @@
"src/inferrsi/data/skill_library/repositories/lithos-metal/sub-skills/serving-cache/metadata.json": "2fca222efac7752e29f236f40a0bc38275045826b55955687e39c64ffb69f58f",
"src/inferrsi/data/skill_library/repositories/lithos-metal/sub-skills/serving-cache/references/troubleshooting.md": "52c6e27a76547475b5c66121f873f4d2c1662c811a69da64ce85614f1bd44749",
"src/inferrsi/data/skill_library/repositories/lithos-metal/sub-skills/serving-cache/references/workflows.md": "298d27d3c748fe22774b872ed0465b707e53812379a7a538c95f25d1727fc796",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "lithos-metal",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
index 7a7b09972..32e907519 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
"src/inferrsi/data/skill_library/repositories/local-dream/metadata.json",
@@ -61,7 +61,7 @@
"src/inferrsi/data/skill_library/repositories/local-dream/references/source-identity.json": "b85f028bb96a37852e9d9780b5d5052fdd9c8f3a704ad391b6381adb58291347",
"src/inferrsi/data/skill_library/repositories/local-dream/references/upstream-license.md": "41003d4a74749c0220e33dd415042164b5a1093ed401f36277234f772d22d3d0",
"src/inferrsi/data/skill_library/repositories/local-dream/scripts/screen_declarations.py": "ccd7d0d55be9a47484ec3a74498d8edef8aba55287f92287775c8d82050c8932",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "local-dream",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
index 1954e5976..1984bb81f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/repositories/mistral-rs/LICENSE",
"src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
@@ -90,7 +90,7 @@
"src/inferrsi/data/skill_library/repositories/mistral-rs/sub-skills/qualification/references/troubleshooting.md": "d933bea6e9e493faa8cd0f4103ea33197ace7f7f901359f8cf0d6bab2edcdb4d",
"src/inferrsi/data/skill_library/repositories/mistral-rs/sub-skills/qualification/references/warmup-inventory.md": "1e7af7d63c6853ede4232b5a12cf68aba6597c4a305015366f1c2c917e3caf01",
"src/inferrsi/data/skill_library/repositories/mistral-rs/sub-skills/qualification/scripts/warmup_shape_inventory.py": "6aa920ca1cb534dec41f5dd2d833c3e760b234ab2c6439b6c4250b8a30b74055",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "mistral-rs",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
index 8ed376db2..d18213bdb 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlc-llm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
@@ -97,7 +97,7 @@
"src/inferrsi/data/skill_library/repositories/mlc-llm/sub-skills/runtime-kv-limits/references/limits-and-workspace.md": "77105db95de2b8ea27ed6953b5441c8af061fb745ddb13d3904f8773fc21e879",
"src/inferrsi/data/skill_library/repositories/mlc-llm/sub-skills/runtime-kv-limits/references/troubleshooting.md": "b89255fc04507185bc8bcf74de779730b009b12d13bb38ad0193205dfed8e921",
"src/inferrsi/data/skill_library/repositories/mlc-llm/sub-skills/runtime-kv-limits/scripts/audit_kv_limit_declarations.py": "d82a6dda5f5931eb369003a5e1f419bfbdd82304766a18be8ea1e1849e26b77d",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "mlc-llm",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
index 847825211..21e947454 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
@@ -79,7 +79,7 @@
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/sub-skills/generation-lifecycle/references/ownership-and-termination.md": "56fdec7ebc89b5c217c7e5c203886bef1d3c2eb5794852897bdb5941ab1db2a0",
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/sub-skills/generation-lifecycle/references/troubleshooting.md": "de28b8ca9cf95be2a4e5762f938acfadb6d4b53459dbf86df4b2b2ec64ec347f",
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/sub-skills/generation-lifecycle/scripts/audit_generation_evidence.py": "2aba6caf42ca1b3fc55299fd96419af8681c37750c21a7ba75205a43baa9c7b1",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "mlx-swift-lm",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
index 49436b87c..8b0ac1659 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
@@ -54,7 +54,7 @@
},
"checkout_ref": "checkout:npu-skill-factory",
"source_files": {
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317",
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db",
"src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md": "74cd863df2e80dc2bda1713d24207809173a3116f30325e3487e1e3517cfec1e",
"src/inferrsi/data/skill_library/workflows/npu-skill-factory/metadata.json": "073174963ca5c19c63d68843ccabdbf758f4c8b7ca61e3d7283affd6f88a753c",
"src/inferrsi/data/skill_library/workflows/npu-skill-factory/references/papers-20261015/COMPARISON.md": "38587678a96581f5c2dc697d982127343565504bffa191352811dffcc165aa23",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
index a23a4e000..c645d3c28 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.json",
@@ -59,7 +59,7 @@
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/knowledge/adaptation-interfaces.md": "5e761957cb5ecd93926e6ffc13deee7c830c6e8f0ee3c3846e9dd3b50dc74446",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/references/source-notes.md": "54d83c3713045d59a48821bcf93598374ba4a630e3891ad39498f919317c4fb8",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/updates/optimization-search-policy.md": "d3db44fa9a6831b86a02c638b323ed943e69fe256866213f10d68c72d762879e",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "optimization-search-policy",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
index abd43099c..242c9c23f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json",
@@ -44,7 +44,7 @@
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md": "2003492e4d89fde0443b180d74933e764bd1979435e109c8d26e20eb8f6e5053",
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json": "d53e53f724c7b6f261cf6c9b579afd20b2279cb1ffd0af89f8ce9f475046fa76",
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/references/llama-numa-thread-readset.md": "748b254b3b043a5ddb0f480eb4a566854d27eedd7b111499863e9bf0a5a6951e",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "os-process-placement",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
index 4bc3bde89..da76f5b07 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json",
@@ -82,7 +82,7 @@
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/roofline-contract.md": "419ec4bcaec45ac579a133bce083d4f48779f26e664d7a86f720fa65f343b1d1",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/roofline-example.json": "597cd3205df043cff3ae9d15924c77934e8d8eb300c00c4840f6bb2921f90faf",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/scripts/roofline.py": "524de48a6764401695fe1444f1fa3d38f363069b0cd2fba4715a86ca4b28a5d4",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "performance-ceiling-analysis",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
index 5becc8e8b..672d773ce 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
"src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json",
@@ -36,7 +36,7 @@
"src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md": "542d8a1e6963f5019986e1fbd79d3a247a045a51487c09313026087ac457c15e",
"src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json": "0289c62f93d087cd6a4ba4140487925c4b3258a9db1f7004ff1dfb22fd6d4582",
"src/inferrsi/data/skill_library/methods/plan-activation-residency/references/source-notes.md": "5ff52655cfd06fcf970ed2a7d4d4fe1c31115b102af2d41497de0c74848ed2b3",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "plan-activation-residency",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
index b436a919e..7dd98248f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/repositories/project-maya/LICENSE",
"src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
@@ -83,7 +83,7 @@
"src/inferrsi/data/skill_library/repositories/project-maya/sub-skills/serving-state/references/native-state.md": "e5a7ee5e777998db0fb5422cf5b1ab18dbd67b4cbbfcfd6628ed6e40d8709c61",
"src/inferrsi/data/skill_library/repositories/project-maya/sub-skills/serving-state/references/troubleshooting.md": "97dea7b2d26fe165d2f64a1a63c91d099dddb2d3b95c16b667f5173b3ffa9d2d",
"src/inferrsi/data/skill_library/repositories/project-maya/sub-skills/serving-state/scripts/request_template.py": "d91b03fbbd7003012a92bd7259d39604b9a91ee5707da2d3366e7c0fb47edd6a",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "project-maya",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/pytorch.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/pytorch.json
index 09306d843..2333fef75 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/pytorch.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/pytorch.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/8115da15b9ef34978de500b08aa9f14ea790c35b/src/inferrsi/data/skill_library/frameworks/pytorch/pytorch/SKILL.md",
- "commit": "8115da15b9ef34978de500b08aa9f14ea790c35b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/frameworks/pytorch/pytorch/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/frameworks/pytorch/pytorch/LICENSE",
"src/inferrsi/data/skill_library/frameworks/pytorch/pytorch/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
index 2de74c721..446dc35d3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/metadata.json",
@@ -43,7 +43,7 @@
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/metadata.json": "98ef753a0e74c46f59a69ae267bdc0a5d293761e6f27edc1822fa8bd4548c4d6",
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/references/capability-presence-audit.md": "c21eb4a6aabe811a49a6540a34c54dbcfdcf7efae3052a79b54034c7838026a5",
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/references/rtk-consumer-path-transition.md": "a70b1d128fb5e0ac12292a290d624f218a0831d7581fe8980b62661473e0f2b7",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "repository-evolution-analysis",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
index 622550390..abc3542df 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
@@ -45,7 +45,7 @@
},
"checkout_ref": "checkout:rsi-evidence",
"source_files": {
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317",
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db",
"src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md": "08f76e12f6f8e8893f03bcdc8152a96c0c99442e7faecbc2a67a18c632fcb243",
"src/inferrsi/data/skill_library/workflows/rsi-evidence/metadata.json": "caf3ef265df71b3cbec31b6c4affb6ebe9278fba0626b23bc124825d2761e49a",
"src/inferrsi/data/skill_library/workflows/rsi-evidence/references/loopx-goal-governance/LICENSE": "cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
index 78d2bd68b..1bb5dc671 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json",
@@ -39,7 +39,7 @@
"source_files": {
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md": "9cd37f21fe0d862069e4798edca8a04d59f8b840e55d521901594a63dddd9ba3",
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json": "d3e790614e09d2d57acb24bfe8d2c2a524cc36bd667bd3867c557554bcbb605e",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "skill-evolution-playbook",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
index 7edadb937..574fae850 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/repositories/splash/LICENSE",
"src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
@@ -77,7 +77,7 @@
"src/inferrsi/data/skill_library/repositories/splash/sub-skills/serving-cache/SKILL.md": "c16f911498e116ff9b31b5a6f0ddd3ae6517b51c0e9d079c337f36a5bcac1df8",
"src/inferrsi/data/skill_library/repositories/splash/sub-skills/serving-cache/references/state-and-api.md": "592603177473ac8e024b7dc19a3d3faedd7c1e0312137eab8bf9a62d2f567be6",
"src/inferrsi/data/skill_library/repositories/splash/sub-skills/serving-cache/references/troubleshooting.md": "4fda461042a3de43c109d7a3cec67542c7d61fe68412bf91606220f2e13e576e",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "splash",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
index 8479f0963..bcecd3676 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json",
@@ -42,7 +42,7 @@
"source_files": {
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md": "63b883c10a8d3e7d918abfc7175b72e2b401ff1e02697f94b8382ec1c8f369b7",
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json": "5017aa6c04b8cc45d8549b71bc283bfced8e7e1bdb29cf0b305a0447a3c12a9d",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
"name": "storage-io-measurement",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
index 8d735275d..a6ad85977 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
"src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json",
@@ -43,7 +43,7 @@
"src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md": "64bd2c6b795d966045d1d3cca55976d3d49b08b06df7c7e06a70c2824cf55b7e",
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"src/inferrsi/data/skill_library/methods/training-input-pipeline/references/sources.md": "60e0f3e88655d8e1d5eb4797f39ca4370deda01614f265b8d2ea4559d8ac020f",
- "src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
index 5ccb61c0c..a230cb0e2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
@@ -23,8 +23,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
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@@ -59,7 +59,7 @@
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+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
index 14c18faf6..aaab5d179 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
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- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
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+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
index be0b8913f..6768c018b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
@@ -26,8 +26,8 @@
"sources": [
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- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
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"src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
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},
"skill_metadata": {
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
index 0f2b596b9..a00f7bdce 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
@@ -29,8 +29,8 @@
"sources": [
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- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
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"src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json",
@@ -53,7 +53,7 @@
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+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
},
"skill_metadata": {
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
index 21db0f788..e66056723 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
@@ -23,8 +23,8 @@
"sources": [
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- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
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+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
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"skill_metadata": {
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
index 3a1f19330..33099d173 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
@@ -29,8 +29,8 @@
"sources": [
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- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
"paths": [
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"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
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+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
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"skill_metadata": {
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
index 0cf4ffe6b..6b1a774fd 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
@@ -16,8 +16,8 @@
"sources": [
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- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
+ "commit": "fb4171e87b4c78d4d62c927f297374ed917949f5",
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@@ -52,7 +52,7 @@
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+ "src/inferrsi/data/skill_library/skill-index.json": "9ea8b2ef190777e683a3905f0614612a37782be4d655d230c000188b0c7073db"
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
index 827e52113..f66551c70 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
@@ -22,8 +22,8 @@
"sources": [
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- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/fb4171e87b4c78d4d62c927f297374ed917949f5/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
index 43fc3e93b..7d3d5ae81 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
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@@ -36,8 +36,8 @@
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- "commit": "df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8",
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},
"skill_metadata": {
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