nuclear-review
nuclear-review is a Codebase audits & code health skill for AI agents, published by darkroomengineering in the cc-settings repository on GitHub. Skillspace rates nuclear-review C (76/100) and it passed the safety scan; the rating is based on static analysis only.
Extremely strict whole-codebase maintainability audit — checks structural quality, 1k-line file sprawl, thin wrappers, leaked logic, spaghetti growth, and dependency freshness + usage quality via context7. Pushes "code-judo" moves that delete whole branches instead of rearranging them. When fixes land, the same pass updates CHANGELOG, MANUAL, and derived schemas so the docs don't drift. Triggers "nuclear review", "thermonuclear review", "thermo-nuclear code quality review", "code judo", "deep code quality audit", "harsh maintainability review", "whole codebase review". Sibling to `/review` (per-diff Darkroom checklist) and `/zero-tech-debt` (rework patch to end-state).
- Grade
- C
- Quality
- 76 / 100
- Safety
- Passed
- GitHub stars
- 39
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
- 91 / 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
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