codebase-memory-quality
codebase-memory-quality is a Codebase audits & code health skill for AI agents, published by DmNote-App in the DmNote repository on GitHub. Skillspace rates codebase-memory-quality D (59/100) and it passed the safety scan; the rating is based on static analysis only.
This skill should be used when the user asks about "dead code", "find dead code", "detect dead code", "show dead code", "dead code analysis", "unused functions", "find unused functions", "unreachable code", "identify high fan-out functions", "find complex functions", "code quality audit", "find functions nobody calls", "reduce codebase size", "refactor candidates", "cleanup candidates", or needs code quality analysis.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 1,347
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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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