ai-skill-eval
ai-skill-eval is a Skill evaluation & testing skill for AI agents, published by weikinhuang in the dotfiles repository on GitHub. Skillspace rates ai-skill-eval F (44/100) and it passed the safety scan; the rating is based on static analysis only.
WHAT: Use the `ai-skill-eval` CLI to validate that an AI model (especially a small local one) actually follows a SKILL.md - run per-skill evals through a driver, grade TRIGGER detection + expectation match, and read the report. WHEN: you drafted or edited a SKILL.md, want proof a skill still works after a rewrite, or want to regression-test a whole skill set against a new model. DO-NOT: skip positive + negative evals; claim a skill is validated without quoting the report; rely on the deterministic keyword-match grade when a subjective rubric is at stake - use `--critic-cmd` instead.
- Grade
- F
- Quality
- 44 / 100
- Safety
- Passed
- GitHub stars
- 21
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 68 / 100
- Maturity
- Incomplete: missing or partial frontmatter
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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