skill-evaluator
skill-evaluator is a Skill evaluation & testing skill for AI agents, published by diegopacheco in the ai-playground repository on GitHub. Skillspace rates skill-evaluator C (77/100) and it passed the safety scan; the rating is based on static analysis only.
This skill should be used when the user asks to "evaluate a skill", "review skill quality", "score my skill", "check skill best practices", "rate my skills", "evaluate all skills", "compare skills", or wants to assess skill quality across criteria like clarity, token efficiency, anti-cheating, quality gates, determinism, scope discipline, error recovery, observability, and idempotency.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 21
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Unlicense
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.