clean-code
clean-code is a Refactoring & code quality skill for AI agents, published by Mindrally in the skills repository on GitHub. Skillspace rates clean-code D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Clean, maintainable, human-readable code principles combined with anti-over-engineering discipline: naming, single responsibility, DRY, and scoping changes to exactly what was requested. Use when writing new code, refactoring existing code, reviewing code for quality, or deciding how much abstraction a change actually needs.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 260
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
- 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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