library-qa
library-qa is an Integration & environment testing skill for AI agents, published by kylesnowschwartz in the ralph-ban repository on GitHub. Skillspace rates library-qa C (74/100) and it passed the safety scan; the rating is based on static analysis only.
This skill should be used when the user asks to "QA a library", "verify the package", "check the API behaves", "exercise the module", or wants end-to-end behavioural verification of an importable library or package (Go, Ruby, TypeScript, etc.). Writes a one-shot consumer program in scratch space, runs it against the library under test, observes structured output, and judges whether the behaviour matches the card's spec.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 33
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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.