review-implementing
review-implementing is an Engineering planning & specs skill for AI agents, published by CooperAgent in the cooper repository on GitHub. Skillspace rates review-implementing D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Validate proposed changes against requirements before execution. Detect scope creep, ensure alignment with Cooper conventions, and verify no breaking changes to IPC contracts.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 73
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- 91 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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
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