incidental-complexity-finder
incidental-complexity-finder is a Refactoring & code quality skill for AI agents, published by hugoduncan in the psi repository on GitHub. Skillspace rates incidental-complexity-finder D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Choose the single highest incidental-complexity executable unit to simplify. Use when selecting a behaviour-preserving refactor target by comprehension burden the branching does not explain (high gordian local burden against low/moderate cyclomatic complexity), guarding against essential-complexity false positives. Produces one target plus evidence, or a well-formed no-target report.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 43
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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