qa-acceptance
qa-acceptance is a Test strategy & case design skill for AI agents, published by paperclipai in the paperclip repository on GitHub. Skillspace rates qa-acceptance D (68/100) and it passed the safety scan; a judge model has also reviewed it.
Produce QA acceptance criteria and a manual validation plan for a feature change — golden path, edge cases, error states, performance limits, and explicit pass/fail evidence.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 80,581
Placed #1 of 6 in the judged category final for Test strategy & case design.
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 #1 of 6 in the judged category final for Test strategy & case design.
- Trigger
88 88 - Instructions
92 92 - Specificity
90 90 - Safety
96 96 - Disclosure
88 88 - Maintenance
85 85
Exceptionally disciplined acceptance-criteria framework (Given/When/Then, mandatory evidence per criterion, explicit anti-patterns for silent gaps and unwaived failures) and fully self-contained.
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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