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docs: describe conditions and advice for 22 hardware skills - #283

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Dong1017:codex/issue91-batch3
Nov 3, 2026
Merged

Dong1017 merged 12 commits into
InferMatrixLab:mainfrom
Dong1017:codex/issue91-batch3

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@Dong1017 Dong1017 commented Oct 31, 2026 •

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Governing Issue and delivery slice

Refs #91, Round 2 Batch 3.

The requester authorized the parallel bounded continuation. Fill source-supported applicability for 20 hardware owners and add procedure-specific advice across the frozen 22 hardware IDs. Preserve the two existing applicability declarations, including Hopper architecture and mechanism exclusions.

Only applicability/recommendations change in the selected sidecars; source bodies, provenance, maturity and empirical-validation fields are unchanged.

This branch starts from main ffb77f9a168ba1cb22f7ba261f289d24dbb6698f and integrates main 2baebf6ebb815ebf07d21c41e3b3754858c0798e, preserving the Sarathi, DistServe and Mooncake source/matrix additions and upstream evidence. Batch 2 is merged through #263 and retained in this integration; the other batches are separate deliveries. Shared projections must be regenerated from combined sources when integrating siblings, preserving all source and matrix additions. A closed applicability key allowlist remains deferred. No new source extraction, model/device execution, paid evaluation or efficacy claim is included.

Checks and provenance

  • Current head: 012bdcc8524a56c65482e14561469111736ac907; integrated main: 2baebf6ebb815ebf07d21c41e3b3754858c0798e.
  • Reachable combined-source snapshot: fb4171e87b4c78d4d62c927f297374ed917949f5. A separate following commit changes only the generated catalog and coverage; the final skill-library inputs are identical to this snapshot.
  • Three-way preservation checks retain the integrated main snapshot, the accepted batch fields, both matrices and historical evidence. Both native generator checks and full-tree Ruff pass.
  • The combined-source index and coverage checks and Ruff pass locally; no complete local pytest result is claimed for this head.
  • Ready CI passes all six jobs for this head merged with main 2baebf6ebb815ebf07d21c41e3b3754858c0798e; Python 3.11 reports 3,389 passed and 13 skipped.
  • The prior scoped review at 14d5a51c1de1171490f10fc5ed7b00c1dd914b56 is reused for hardware semantics: an independent incremental inspection verified that all 22 sidecar blobs and owning bodies are unchanged, main sources are retained, and the combined source pin matches the final library tree. Local generator checks, Ruff and eight PyTorch/TorchNPU integration tests pass.

These are source and software checks. Independent review applies only to its recorded revision; this description is not an approval. Skill Eval execution, efficacy, native-device qualification and whole-tracker acceptance are not claimed. Refs #91; the tracker remains open.

Frozen IDs and field-to-source review pointers

Pointers refer to unchanged source sections in the canonical snapshot above. Existing applicability values are preserved.

Owner Field origins
ascend-aclgraph-capture-replay applicability.scope: SKILL.md:L8-L12 Trigger and boundary
applicability.prerequisites: SKILL.md:L22-L26 Required evidence (P)
applicability.input_contract: SKILL.md:L22-L24 Required evidence (P)
applicability.produced_artifact: SKILL.md:L42-L46 Verification and failure handling (P)
applicability.refusal_point: SKILL.md:L26 and L42-L46 Verification and failure handling (P)
recommendations[0]: SKILL.md:L28-L31 Decision procedure and available actions (P)
recommendations[1]: SKILL.md:L32-L33 Decision procedure and available actions (P)
recommendations[2]: SKILL.md:L34-L44 Decision procedure; Verification and failure handling (P)
ascend-device-health applicability.scope: SKILL.md:L22-L28 When to use this skill
applicability.hardware: SKILL.md:L30-L62 Steps 1 and 2
applicability.input_contract: SKILL.md:L30-L91 Steps 1-4
applicability.produced_artifact: SKILL.md:L30-L111 Steps 1-5; Card-group change discipline
applicability.failure_modes: SKILL.md:L62-L111 Steps 2-5; Card-group change discipline
recommendations[0]: SKILL.md:L30-L76 Steps 1-4
recommendations[1]: SKILL.md:L74-L91 Step 4
recommendations[2]: SKILL.md:L95-L124 Step 5; Card-group change discipline; Environment variables checklist
ascend-distributed-parallel applicability.scope: SKILL.md:L8-L22 and L91-L107
applicability.input_contract: SKILL.md:L24-L52 Native HCCL AllReduce qualification; L91-L123
applicability.produced_artifact: SKILL.md:L54-L70 and L253-L286 Attributing differences between parallel strategies
applicability.failure_modes: SKILL.md:L171-L230 and L278-L286
recommendations[0]: SKILL.md:L24-L47 and L101-L107 and L171-L181
recommendations[1]: SKILL.md:L34-L52 Native HCCL AllReduce qualification
recommendations[2]: SKILL.md:L72-L89 and L215-L230
recommendations[3]: SKILL.md:L48-L52 and L109-L161 and L253-L276
ascend-graph-mode applicability.scope: SKILL.md:L18-L37 Establish the path before changing an option
applicability.prerequisites: SKILL.md:L20-L23 and L59-L64 and L140-L147
applicability.input_contract: SKILL.md:L20-L35 and L86-L104
applicability.produced_artifact: SKILL.md:L130-L161 Discriminate failures; Validation recipe and completion boundary
applicability.failure_modes: SKILL.md:L86-L128 Trace capture eligibility and fallback; Preserve input and output ownership
recommendations[0]: SKILL.md:L39-L84 Use the installed configuration surface
recommendations[1]: SKILL.md:L86-L104 and L130-L137
recommendations[2]: SKILL.md:L106-L128 and L140-L154
ascend-model-adaptation applicability.scope: SKILL.md:L14-L16 Choose the versioned owner
applicability.prerequisites: SKILL.md:L10-L12 and L33-L34 and L99-L106
applicability.input_contract: SKILL.md:L20-L65 Debug order; FP8 checkpoints; KV replication with tensor parallelism; L84-L96
applicability.produced_artifact: SKILL.md:L33-L34 and L109-L124 Feature-status reporting
applicability.failure_modes: SKILL.md:L24-L65 and L99-L106
recommendations[0]: SKILL.md:L20-L35 Debug order for a new checkpoint
recommendations[1]: SKILL.md:L10-L12 and L37-L66
recommendations[2]: SKILL.md:L84-L106 Multimodal feature validation order; Layer-reduction smoke tests
ascend-operator-profiling applicability.scope: SKILL.md:L8-L26 When to use this skill vs ascend-performance-analysis
applicability.prerequisites: SKILL.md:L10-L13 and L48-L80 Steps 1 and 2
applicability.input_contract: SKILL.md:L71-L122 Steps 2 and 3; L304-L314 perf_summary.py usage
applicability.produced_artifact: SKILL.md:L98-L191 Steps 3 and 4
applicability.failure_modes: SKILL.md:L274-L291 Known limitations and caveats
recommendations[0]: SKILL.md:L71-L137 Steps 2 and 3
recommendations[1]: SKILL.md:L146-L222 Steps 4-6
recommendations[2]: SKILL.md:L282-L298 Known limitations and caveats
ascend-operator-tuning applicability.scope: SKILL.md:L29-L33 Relationship to profiling; L91-L100 Staged escalation
applicability.prerequisites: SKILL.md:L29-L55 Relationship to profiling; Hard gates; Numeric goal
applicability.input_contract: SKILL.md:L37-L48 and L71-L87 and L182-L194 and L227-L233
applicability.produced_artifact: SKILL.md:L182-L196 Iteration discipline; L227-L233 Verification checklist
applicability.refusal_point: SKILL.md:L29-L67 and L182-L207
applicability.failure_modes: SKILL.md:L78-L87 and L200-L220
recommendations[0]: SKILL.md:L37-L48 and L182-L194 and L227-L233
recommendations[1]: SKILL.md:L71-L100 Metric contract; Staged escalation
recommendations[2]: SKILL.md:L211-L225 Known limitations (from source)
ascend-optimization-casebook applicability.scope: SKILL.md:L15-L25 How to use this casebook; L29-L179 Bottleneck classes
applicability.prerequisites: SKILL.md:L15-L23 How to use this casebook
applicability.input_contract: SKILL.md:L15-L23 and L186-L208 Adding a new case
applicability.produced_artifact: SKILL.md:L15-L25 and L186-L208
applicability.refusal_point: SKILL.md:L207-L208 Adding a new case
recommendations[0]: SKILL.md:L15-L25 How to use this casebook
recommendations[1]: SKILL.md:L10-L13 and L58-L60 and L91-L93 and L128-L130
ascend-performance-analysis applicability.scope: SKILL.md:L14-L27 Accepting an automated optimization stage; L44-L46 Five-layer analysis pipeline
applicability.prerequisites: SKILL.md:L176-L184 Profiling collection prerequisites
applicability.input_contract: SKILL.md:L16-L23 and L48-L118 and L121-L139
applicability.produced_artifact: SKILL.md:L14-L27 and L142-L174
applicability.failure_modes: SKILL.md:L66-L118 Five-layer analysis pipeline
recommendations[0]: SKILL.md:L44-L69 Five-layer analysis pipeline
recommendations[1]: SKILL.md:L81-L118 Layers 2 and 3
recommendations[2]: SKILL.md:L14-L25 and L155-L174
ascend-video-diffusion-optimization applicability.scope: metadata.json#/applicability/scope (existing value preserved)
applicability.hardware: metadata.json#/applicability/hardware (existing value preserved)
applicability.prerequisites: metadata.json#/applicability/prerequisites (existing value preserved)
applicability.input_contract: src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md#1-freeze-the-goal-contract
applicability.produced_artifact: src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md#7-final-report
applicability.failure_modes: SKILL.md:L18-L24 Ascend-Specific Layout And Profiler References
recommendations[0]: SKILL.md:L10-L16
recommendations[1]: SKILL.md:L18-L23 Ascend-Specific Layout And Profiler References
recommendations[2]: SKILL.md:L14 and L24-L27
ascendc-tiling-design applicability.scope: SKILL.md:L95-L213 Reduction, broadcast, elementwise, matmul and conversion routing
applicability.input_contract: SKILL.md:L30-L91 Universal four-element template; Cross-class rules
applicability.produced_artifact: SKILL.md:L30-L48 Universal four-element template; L224-L225 Known limitations
applicability.failure_modes: SKILL.md:L57-L84 Cross-class rules; L191-L202 MatMul routing
recommendations[0]: SKILL.md:L50-L74 Cross-class rules
recommendations[1]: SKILL.md:L43-L48 and L62-L70
recommendations[2]: SKILL.md:L75-L91 and L179-L230
cann-attribution-overlap applicability.scope: SKILL.md:L43-L77 The chained procedure, Stages 1-3
applicability.prerequisites: SKILL.md:L79-L87 Stage 4; L108-L117 Communication-specific rules
applicability.input_contract: SKILL.md:L45-L77 and L108-L117
applicability.produced_artifact: SKILL.md:L65-L106 Stages 3-6
applicability.failure_modes: SKILL.md:L50-L77 and L98-L106 and L119-L129
recommendations[0]: SKILL.md:L45-L63 Stages 1 and 2
recommendations[1]: SKILL.md:L65-L96 Stages 3-5
recommendations[2]: SKILL.md:L98-L129 Stage 6; Metric separation rules
recommendations[3]: SKILL.md:L143-L180 Unresolved conflicts; Later-revision safeguards; OS bridge
cgroup-resource-controls applicability.scope: SKILL.md:L19-L31 SearchSpace mapping; L43-L100 Controller procedures
applicability.prerequisites: SKILL.md:L102-L116 Hierarchy, delegation, permissions
applicability.input_contract: SKILL.md:L43-L116 Controller procedures; Hierarchy, delegation, permissions
applicability.produced_artifact: SKILL.md:L35-L41 Prime rule; L115-L136 Verification contract
applicability.failure_modes: SKILL.md:L35-L41 and L59-L69 and L89-L100
recommendations[0]: SKILL.md:L43-L57 CPU: quota versus contention
recommendations[1]: SKILL.md:L59-L87 Cpuset; Memory
recommendations[2]: SKILL.md:L35-L41 and L78-L87 and L129-L136
recommendations[3]: SKILL.md:L89-L116 IO; Hierarchy, delegation, permissions
diagnose-attention-bottlenecks applicability.scope: SKILL.md:L10-L12 Trigger and evidence gate
applicability.input_contract: SKILL.md:L14-L16 Trigger and evidence gate
applicability.produced_artifact: SKILL.md:L35-L37 Required output and proposed verification
applicability.refusal_point: SKILL.md:L16 and L41
recommendations[0]: SKILL.md:L18-L20 Decision procedure
recommendations[1]: SKILL.md:L22-L25 Decision procedure
recommendations[2]: SKILL.md:L25-L31 Decision procedure; Portability gate
host-memory-management applicability.scope: SKILL.md:L8-L31 Intro; Versioned Ascend native descriptor-pool case
applicability.input_contract: SKILL.md:L33-L86 and L160-L198
applicability.produced_artifact: SKILL.md:L21-L23 and L33-L75 and L200-L207
applicability.failure_modes: SKILL.md:L48-L75 and L149-L158
recommendations[0]: SKILL.md:L56-L75 Asynchronous transfer: three independent obligations
recommendations[1]: SKILL.md:L33-L54 Pinned host memory: ownership before capacity
recommendations[2]: SKILL.md:L77-L86 and L143-L158 and L200-L207
host-overhead-optimization applicability.scope: SKILL.md:L8-L33 When to Use; Using Analysis Results
applicability.prerequisites: SKILL.md:L19-L33 and L87-L95 and L378
applicability.input_contract: SKILL.md:L27-L33 and L59-L95 and L127-L146 and L195-L239
applicability.produced_artifact: SKILL.md:L232-L239 Phase 6; L361-L370 Final Summary Output
applicability.failure_modes: SKILL.md:L27-L50 and L107-L111 and L220-L230 and L275
recommendations[0]: SKILL.md:L27-L33 and L127-L157
recommendations[1]: SKILL.md:L107-L111 and L189-L230
recommendations[2]: SKILL.md:L37-L50 and L220-L239 and L266-L275
host-overhead-profiling applicability.scope: SKILL.md:L8-L28 When to Use
applicability.prerequisites: SKILL.md:L30-L34 Prerequisites; L83-L101 Input validation
applicability.input_contract: SKILL.md:L12-L15 and L119-L128 Root Cause Phase
applicability.produced_artifact: SKILL.md:L93-L115 and L168-L175 and L290-L296
applicability.failure_modes: SKILL.md:L123-L128 and L281-L286 Pitfalls
recommendations[0]: SKILL.md:L51-L53 and L75-L79 and L123-L128 and L236-L242
recommendations[1]: SKILL.md:L61-L75 and L184-L190 and L290-L296
recommendations[2]: SKILL.md:L123-L128 and L281-L286
os-process-placement applicability.scope: SKILL.md:L32-L41 Scope; L45-L108 CPU affinity
applicability.prerequisites: SKILL.md:L153-L170 Structured environment checks
applicability.input_contract: SKILL.md:L45-L170 and L172-L185
applicability.produced_artifact: SKILL.md:L153-L170 and L204-L211 Verification checklist
applicability.failure_modes: SKILL.md:L65-L97 and L114-L151
recommendations[0]: SKILL.md:L45-L69 CPU affinity
recommendations[1]: SKILL.md:L75-L108 and L114-L131 and L191-L202
recommendations[2]: SKILL.md:L133-L170 Device-busy preflight; Structured environment checks
reason-hopper-kernels applicability.scope: metadata.json#/applicability/scope (existing value preserved)
applicability.architectures: metadata.json#/applicability/architectures (existing value preserved)
applicability.excluded_mechanisms: metadata.json#/applicability/excluded_mechanisms (existing value preserved)
applicability.input_contract: SKILL.md:L20-L26 Establish the actual contract
applicability.produced_artifact: SKILL.md:L51-L63 Return a reviewable hypothesis
applicability.failure_modes: SKILL.md:L28-L42 Establish the actual contract; Choose the next discriminating check
recommendations[0]: SKILL.md:L28-L32 Establish the actual contract
recommendations[1]: SKILL.md:L34-L42 Choose the next discriminating check
recommendations[2]: SKILL.md:L58-L63 Return a reviewable hypothesis
storage-io-measurement applicability.scope: SKILL.md:L32-L42 Prime rule; L44-L91 Workload, concurrency and cache procedures
applicability.prerequisites: SKILL.md:L106-L116 and L139-L159 Proposed safe procedure
applicability.input_contract: SKILL.md:L44-L54 and L69-L104 and L147-L162
applicability.produced_artifact: SKILL.md:L32-L42 and L93-L116 and L147-L162
applicability.refusal_point: SKILL.md:L32-L54 and L118-L127
recommendations[0]: SKILL.md:L44-L67 Workload matching; Requested versus achieved concurrency
recommendations[1]: SKILL.md:L69-L91 Cache-state accounting; Startup versus steady-state runs
recommendations[2]: SKILL.md:L93-L145 Output schema; Device attribution; Saturation-evidence gate; Process attribution
recommendations[3]: SKILL.md:L147-L162 Proposed safe procedure
torchnpu-device-memory-lifecycle applicability.scope: SKILL.md:L8-L16 Scope and evidence contract; Related capabilities
applicability.input_contract: SKILL.md:L18-L20 Required evidence
applicability.produced_artifact: SKILL.md:L34-L40 Countersignals, verification and escalation
applicability.refusal_point: SKILL.md:L20-L24 and L36
recommendations[0]: SKILL.md:L22-L26 Decision procedure and available actions
recommendations[1]: SKILL.md:L28-L32 Decision procedure and available actions
recommendations[2]: SKILL.md:L30-L38 Decision procedure; Countersignals, verification and escalation
torchnpu-pinned-host-memory-lifecycle applicability.scope: SKILL.md:L8-L16 Scope and evidence contract; Related capabilities
applicability.input_contract: SKILL.md:L18-L20 Required evidence
applicability.produced_artifact: SKILL.md:L34-L40 Countersignals, verification and escalation
applicability.refusal_point: SKILL.md:L36-L40 Countersignals, verification and escalation
recommendations[0]: SKILL.md:L22-L24 Decision procedure and available actions
recommendations[1]: SKILL.md:L26-L28 Decision procedure and available actions
recommendations[2]: SKILL.md:L30-L32 Decision procedure and available actions

Knowledge authorship declaration

{
  "schema_version": 1,
  "head_sha": "012bdcc8524a56c65482e14561469111736ac907",
  "human_only": false,
  "material_ai_authors": [
    {
      "tool": "Codex",
      "model_id": "gpt-6-astra",
      "effort": "xhigh",
      "role": "author"
    }
  ]
}

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>
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>
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Codex Review Summary

This comment shows the latest Codex review activity on this pull request.

Review Status Commit Review trigger
📝 Code Review ⚠️ Failed 2026-10-31T03:51:59.233391Z
We couldn’t complete this review. Comment @codex review to try again.
7746aea PR opened
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Codex reacts with 👀 while any review is running, comments if it has suggestions, and reacts with 👍 once all reviews finish with no findings.

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Skill evaluation

PLANNED: not executed; there are no task outcomes yet.
No approval, model efficacy or current-head test result is implied.

  • Next: run the pinned source/index --check below at head 012bdcc8524a56c65482e14561469111736ac907.
  • Task selection: no supported automatic comparison; choose a relevant source/content check and disposition uncovered claims.
  • Selected comparisons: 0 · Estimated task calls: 0. Uncovered/unsupported changes: 103; Canonical library paths: 22; Generated projection paths: 80; Other paths: 1. These are paths, not independent claims.
  • Return: command, input/source pin, exit status, outputs/failures and untested claims for independent verified/refuted/unverified disposition.
Author verification steps (nonpaid; not yet run)
  1. Bind the checkout. Run git rev-parse HEAD; it must equal 012bdcc8524a56c65482e14561469111736ac907. If it differs, obtain a current plan; do not reuse old results.
  2. Check source/index consistency. At that PR checkout, using the reviewed repository tool and its documented development dependencies, run:
python tools/build_skill_index.py --source-revision fb4171e87b4c78d4d62c927f297374ed917949f5 --check

The declared source pin matches this head's canonical library bytes. The command has not run: retain its exit code and full drift/success output. It checks the generated projection, not claim truth or skill efficacy.
No supported automatic comparison is selected. Review the canonical changes and explain which claims need evidence, are unaffected, or remain unverified; do not treat generated records as separate behavioral claims.
Uncovered scope by location: Canonical library paths: 22; Generated projection paths: 80; Other paths: 1. Path counts are not claim counts; no metadata-only conclusion is inferred.
3. Return evidence for independent review: head, check/task/source pin, command, environment, exit status, outputs/failures and untested claims. Label scripted controls. Request each claim's disposition: verified, refuted or unverified; this plan proves neither model provenance nor benefit.
Check recipes and evidence limits

Evidence and logs · Retention: 30 days.
Retained artifacts are verifiable only before Unix time 1796272968 while the linked artifact is available. Expired evidence is unverified.

Plan bindings, budget, frozen exam and advisory details

Advisory: obtain missing evidence

Retained evidence availability: planned / unexecuted. No approval or merge authorization is issued.
Applicable only while these revisions and inputs match the current PR.
Paid execution requires trusted label authorization and cumulative PR reservation. Unknown accounting blocks new paid calls; planning is not execution.
Pipeline evidence only; offline fixed outputs do not establish skill efficacy.
Unchanged-correct is valid neutral evidence, not incremental benefit.
Content/source review and authorship admission remain separate.
Trusted regrading checks retained answers, not model/hardware provenance or a hostile executor; this is not an efficacy certification.

  • Retained evidence is planned / unexecuted.
  • No supported comparison cases were selected.
  • Uncovered/unsupported scope needs a case or explicit reviewer disposition.
    Plan SHA-256: c235e6d0eb3562f40b3c2dc6b7aef6fb3af9e428e86c61b2a58b79215d45cf3f
    Base: 2baebf6ebb815ebf07d21c41e3b3754858c0798e · Head: 012bdcc8524a56c65482e14561469111736ac907
    Trusted implementation: 2baebf6ebb815ebf07d21c41e3b3754858c0798e

Model/settings: {"effort":"not_applicable","name":"claude-opus-5-5"}
Budget: {"comparisons":0,"estimated_calls":0,"limits_per_comparison":{"campaign_seconds":600,"max_task_calls":2,"repeats":1,"timeout_seconds":180,"token_stop_new_trials":200000},"provider_config_sha256":"b28d80f8194fbe0f5a9f01515efb24b218979fd45f702776560da276f4b30d04","reservation":null}

Skill Comparison Cases Estimated calls

Automatic execution / cumulative PR budget:

{"reason":"Trusted configuration or pricing missing, invalid or expired","remaining_usd":"unknown","reserved_or_unresolved_usd":"unknown","spent_or_legacy_usd":"unknown","state":"blocked"}

Projection check selection (not an executed result):

{"declared_in":"src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md","source_revision":"fb4171e87b4c78d4d62c927f297374ed917949f5","status":"ready"}

Provider/settings: {"client":{"api_version":"2023-06-01","endpoint":"https://yibuapi.com/v1/messages","kind":"anthropic-messages-full-context-v1","max_output_tokens":4096,"max_read_bytes":32768,"max_request_bytes":262144,"max_requests":1,"max_tool_calls":12,"provider":"yibuapi"},"limits":{"token_stop_new_trials":200000},"model":{"effort":"not_applicable","name":"claude-opus-5-5"},"pricing":{"currency":"USD","expires_at":1793271228,"group":"default","max_input_tokens":1000000,"model":"claude-opus-5-5","rate_evidence":"https://github.com/InferMatrixLab/InferRSI/issues/215#issuecomment-6467531341","rates":{"cache_read":"0.4","cache_write":"10","input":"8","output":"40"},"request_fee":"0","unit":"per_million_tokens"},"spend_limit":{"amount":"200","currency":"USD"}}

Uncovered / unsupported paths (103)
  • uncovered: "docs/skill-coverage.md"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torch-npu.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/pytorch.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json"
    Additional paths omitted; see retained evidence.

@Dong1017 Dong1017 added the area:knowledge Knowledge line: packs, skill library, knowledge admission label Oct 31, 2026 — with ChatGPT Codex Connector

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LGTM for the bounded hardware-sidecar projection at 7746aea5; no blocking source-fidelity or packaging issue found.

  • All 22 canonical sidecars change only applicability/recommendations. Existing applicability values are preserved, including the Hopper and Ascend video boundaries; source identities, maturity and empirical-validation fields remain unchanged.
  • The new conditions and advice retain the owning procedures' hardware, ordering/lifetime, measurement and refusal distinctions. They describe source guidance and do not establish native correctness or a performance result.
  • Current-head Ready and declaration checks pass. Existing author/integrator @Dong1017 should combine canonical sources before regenerating catalog/coverage and checking a new integration head. Skill Eval remains unexecuted; this is neither a merge decision nor acceptance of the overall tracker.
Evidence and scope

Head: 7746aea56298fa2f9df21f92b1a830b8eb8ea4ba; API base / assessed main: ecca7e9136d962747f42860f58e332f45b0aa358 / ecca7e9136d962747f42860f58e332f45b0aa358.
Hosted tested merge: 368ca43a97b8ccf84d43fdec86aeaaef492ef06c, with verified parents current main + this head. Ready run has successful Python 3.10/3.11 full-check and installed-package jobs plus KV task qualification. Latest declaration run succeeds; declaration compliance alone verifies neither author execution settings nor content.
Reviewed scope: All 22 changed hardware sidecars against their owning procedure contracts, the two preserved applicability declarations, canonical allowed-field diff, reachable source pin and affected catalog/coverage projections. Source snapshot a037b99a198c944a4ddbbe1d952bda1f42ab2ffa is public and the library inputs do not change between it and this head; later commits contain projections. This task inspected source and hosted evidence; it did not rerun pytest, generators, models, devices or paid evaluation.
Current Skill Eval plan: zero selected comparisons, 127 uncovered/unsupported changes, execute skipped. Explicit disposition: source/metadata software delivery only, with candidate/not_run and all empirical acceptance gaps retained. Green software checks are not skill-effect evidence.
Sibling combination is untested: #263 a559b12a1dcf1d549e801dd645a949b0f730a75f; #282 8b8ff658d10a143cabac0999900ba27d915bea19; #283 7746aea56298fa2f9df21f92b1a830b8eb8ea4ba; #285 57bc805db9bb56995e2ae988830e1c52a14f85d3; paper additions #277 e3db289c42d6d37374755a05f28b1107da4f73ae, #278 7ef53189343c4bf04fc9e31b4d80f9644482cdfc, #279 cf0b7022761fa83361f986e3b37c2031ad33fd8d. The known findings on #263/#285 are not cleared by this review.
No implementation involvement in this review task. COMMENTED because the posting account is also the PR author account; no formal self-approval is issued.

Retain all upstream source, case, metadata and matrix additions alongside
the accepted hardware applicability and recommendations. Keep the source
merge reachable for the subsequent generated projection commit.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (source integration)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
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>
Preserve all 22 hardware applicability and recommendation declarations.
Retain upstream canonical sources and matrices before regenerating projections.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Retain the DistServe integration and all 22 hardware guidance declarations.
Preserve upstream canonical sources and matrices before final regeneration.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
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>
Preserve all 22 hardware declarations and the original applicability values.
Retain every main source, matrix and historical evidence blob before regeneration.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Preserve both histories and all canonical sources, matrices, and evidence.
Resolve only generated projection conflicts before regenerating from this merge.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
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>

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Scoped LGTM for the hardware-sidecar integration at 14d5a51c.

  • All 22 hardware sidecars are unchanged from 270fca4d; the previously reviewed field-to-procedure semantics remain applicable. The merged upstream sources are retained, and the final library tree exactly matches the reachable combined material pin.
  • Ready CI tests this head with assessed main 919ed42c. Both Python full-check and installed-package jobs, qualification/reference checks and current per-head policy succeed.
  • @Dong1017 retains the merge/integration decision. This clears the earlier current-main integration hold for this version, not a future sibling combination. Skill Eval remains planned with zero comparisons; source/metadata delivery does not establish hardware correctness, performance or overall tracker acceptance.
Evidence and limits

Reviewed head: 14d5a51c1de1171490f10fc5ed7b00c1dd914b56; API base: f58d09808eda2ab830c25dfbfbb2f24b737d03ca; assessed main: 919ed42c0d01dc0aa3b613085b9041d735d2d4db. The complete old-head delta changes no hardware canonical path; the original 22-owner semantic review is reused on that verified basis.

Material df149c73c7a8f2e90fdb7ad56a55707b95b3b4d8 and head both expose library tree 1237733439acfe11e90636e806034403ceab0348; only 79 catalog/coverage projection paths change afterwards. All 101 PR paths were inventoried, including the second files page. Ready CI checks out tested merge 4987efbc5a35d07f0eba1b2ba3daccef8c8a9727, whose verified parents are assessed main and reviewed head. Inspected Python 3.11 log: 3,381 tests and 284 subtests passed, 13 skips, one warning.

Per-head policy passes. pull_request_target Skill Eval publishes a plan and skips execution; 101 paths remain uncovered/unsupported. Verification was source and hosted-evidence inspection only, without local repository tests, generators, models/devices or paid evaluation. No implementation involvement; COMMENTED because the posting account also owns the PR.

Preserve canonical framework sources, hardware metadata, matrices, and frozen evidence.
Keep generated projection resolution separate from source provenance.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
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>
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