autoresearch-discover
autoresearch-discover is a Codebase audits & code health skill for AI agents, published by pjhoberman in the autoresearch repository on GitHub. Skillspace rates autoresearch-discover D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Scan a codebase to find files and functions where autoresearch could be applied — code with tunable parameters, magic numbers, scoring logic, or prompt templates that could be optimized against a measurable metric. Use when the user wants to find optimization candidates, asks 'where could I use autoresearch?', 'what can I tune?', 'find tunable code', or wants to discover what's optimizable before running /autoresearch.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 21
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
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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