Normalizes a surviving-mutant record across StrykerJS, PIT, mutmut, and Mull into one shape, classifies why it survived (missing case, weak assertion, equivalent mutant, unreachable code, flaky killer), applies per-mutator heuristics for conditional-boundary, arithmetic-operator, statement-removal, and constant mutations, and drafts the specific test that would kill it. Treats equivalence as a judgment call, because deciding whether a mutant is equivalent to the original is undecidable in general, so a residual survivor rate is expected rather than a defect. Use when a mutation run has finished and the report lists surviving mutants that nobody has yet explained or turned into concrete test cases.
72
91%
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Low
Low-risk findings worth noting
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
SKILL.md specifies reading “the mutated line and the tests that already covered it” from tool outputs/ reports (e.g., fields like `original`, `mutated`, and `coveredBy` from StrykerJS/PIT and browser-filled records from mutmut/Mull), which at runtime can include outsider-authored code/test text and thus feeds free-form text into the agent’s LLM context via those report-derived strings.