Graph-informed mutation testing triage. Parses codebases with Trailmark, runs mutation testing and necessist, then uses survived mutants, unnecessary test statements, and call graph data to identify false positives, missing test coverage, and fuzzing targets. Use when triaging survived mutants, analyzing mutation testing results, identifying test gaps, finding fuzzing targets from weak tests, runn
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Genotoxic
Combines mutation testing and necessist (test statement removal) with code graph analysis to triage findings into actionable categories: false positives, missing unit tests, and fuzzing targets.
When to Use
After mutation testing reveals survived mutants that need triage
Identifying where unit tests would have the highest impact
Finding functions that need fuzz harnesses instead of unit tests
Prioritizing test improvements using data flow context
Filtering out harmles
[Description truncada. Veja o README completo no GitHub.]