dead-code-cleanup
dead-code-cleanup is a Refactoring & code quality skill for AI agents, published by calimero-network in the core repository on GitHub. Skillspace rates dead-code-cleanup D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Detects and removes dead code introduced by AI agents. Analyzes codebase for unused functions, variables, imports, and types; verifies no references (including indirect, dynamic, or runtime); reports with file paths and line numbers; optionally generates safe patches. Use when cleaning up after AI-generated code, removing unused code, or when the user asks for dead code detection, unused code removal, or code quality cleanup.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 165
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.
- 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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