skill-tester
skill-tester is a Skill evaluation & testing skill for AI agents, published by harvard-lil in the lawskills-hub repository on GitHub. Skillspace rates skill-tester C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Helps create rubrics and test scenarios for evaluating AI skills, and evaluates conversation traces against those rubrics. Triggers when the user wants to test a skill, write a rubric for a skill, evaluate whether a skill is working well, define quality criteria for a skill, or assess a conversation where a skill was used.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 22
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; 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
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.