skill-eval-toolkit
skill-eval-toolkit is a Skill evaluation & testing skill for AI agents, published by dianyike in the claude-code-insights repository on GitHub. Skillspace rates skill-eval-toolkit C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Evaluate, benchmark, compare, and optimize descriptions for existing skills. Use when users want to run evals to test a skill, benchmark skill performance with variance analysis, do blind A/B comparisons between skill versions, or optimize a skill's description for better triggering accuracy. Do NOT use for creating skills from scratch — see write-a-skill for that.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 62
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 looks like a template or a stub that was never filled in. 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
- MIT
- 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.