staff-review
staff-review is a Plan & work review gates skill for AI agents, published by MMIV-ML in the fastMONAI repository on GitHub. Skillspace rates staff-review D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Proactive staff engineer review for technical plans. This skill should be used when Claude detects implementation plans, architecture designs, migration plans, or refactoring proposals to provide senior engineering feedback with a focus on risks, simplicity, and completeness.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 107
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- 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
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