sherlock
sherlock is a Root-cause investigation skill for AI agents, published by Codeminer42 in the skills repository on GitHub. Skillspace rates sherlock D (61/100) and it passed the safety scan; the rating is based on static analysis only.
Autonomous investigation loop for finding and fixing performance issues, intermittent errors, flaky tests, memory leaks, slow operations, and reliability problems. Inspired by Karpathy's autoresearch: makes a change, measures the result, keeps or reverts, logs everything, and keeps going. Run it and walk away - it works until interrupted or the codebase is healthy.
- Grade
- D
- Quality
- 61 / 100
- Safety
- Passed
- GitHub stars
- 27
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 76 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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