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Add an Atheris fuzz harness for the text parsers - #97
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Coverage-guided fuzzing of count_severities, extract_overall_risk_rating, skill frontmatter parsing and normalize_severity, asserting the same properties as the Hypothesis tests. CONTRIBUTING documents how to run it. Scorecard's Fuzzing check recognises Atheris for Python (not Hypothesis).
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Follow-up to #94. Scorecard's Fuzzing check recognises Atheris for Python, not Hypothesis, so the property tests from #94 didn't move it off 0.
fuzz/fuzz_parsers.pyis a coverage-guided harness over the same parsers (count_severities,extract_overall_risk_rating, skill frontmatter,normalize_severity) asserting the same properties: never raise on arbitrary text, onlySkillLoadErrorfrom the frontmatter parser, idempotent severity normalisation. CONTRIBUTING documents how to run it for a minute after touching a parser.Not run in CI (Atheris needs a libFuzzer-enabled clang; it doesn't build on Apple clang). Verified locally with a stub provider over ~2000 random inputs.
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