code-humanizer
code-humanizer is a Refactoring & code quality skill for AI agents, published by LeonardNJU in the code-humanizer repository on GitHub. Skillspace rates code-humanizer B (83/100) and it passed the safety scan; the rating is based on static analysis only.
Use when code was written by an AI coding agent and needs structural cleanup — duplicated reimplementations of existing helpers, try-import fallbacks, broad exception swallowing, speculative abstraction layers, _v2 copies, dead "for future use" code, narrating comments — or when asked to "deslop", "remove AI slop", "humanize code", clean up a vibe-coded repo, or review an AI-generated PR for code quality beyond tests passing.
- Grade
- B
- Quality
- 83 / 100
- Safety
- Passed
- GitHub stars
- 33
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
- 93 / 100
- Maturity
- Packaged: licensed, with a version or references
- 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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