detect-code-smells
detect-code-smells is a Refactoring & code quality skill for AI agents, published by dykyi-roman in the awesome-claude-code repository on GitHub. Skillspace rates detect-code-smells D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Detects code smells in PHP codebases. Identifies God Class, Feature Envy, Data Clumps, Long Parameter List, Long Method, Primitive Obsession, Message Chains, Inappropriate Intimacy. Generates actionable reports with refactoring recommendations.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 89
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
- 90 / 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
- 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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