qa-review
qa-review is a Test strategy & case design skill for AI agents, published by nearai in the ironclaw repository on GitHub. Skillspace rates qa-review C (74/100) and it passed the safety scan; a judge model has also reviewed it.
QA review for code changes — test coverage analysis, edge case identification, test plan generation, regression detection, test health tracking over time.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 12,619
Placed #6 of 6 in the judged category final for Test strategy & case design.
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #6 of 6 in the judged category final for Test strategy & case design.
- Trigger
82 82 - Instructions
90 90 - Specificity
88 88 - Safety
95 95 - Disclosure
75 75 - Maintenance
78 78
Solid general-purpose QA review methodology with concrete templates and a sensible fix-vs-ask calibration rule, though its edge-case taxonomy is fairly standard.
Not checked yet
- 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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