scholar-auto-improve
scholar-auto-improve is a Session review & learning skill for AI agents, published by joshzyj in the open-scholar-skill repository on GitHub. Skillspace rates scholar-auto-improve D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Automatic quality auditor and continuous improvement engine for the scholar-skill suite. Four modes: (1) OBSERVE — post-skill output audit (run after any skill); (2) AUDIT — skill-suite structural health check; (3) IMPROVE — propose and apply fixes to skill definitions; (4) EVOLVE — cross-session pattern analysis and systemic improvements. Designed to run automatically at the end of any scholar-skill invocation.
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 102
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
- 71 / 100
- Maturity
- Structured: ships references or scripts
- 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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