post-change-refactor
post-change-refactor is a Refactoring & code quality skill for AI agents, published by terryyin in the lizard repository on GitHub. Skillspace rates post-change-refactor D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Refactor and clean up the uncommitted change before committing. Eliminate duplication, rename unclear domain concepts, collapse shotgun surgery when another similar change is likely, remove dead / test-only / redundant code, split files larger than 250 lines into cohesive modules, and confirm related tests still pass. Use after finishing a phase or sub-phase and before commit, or whenever the developer asks to clean up the current change. Triggers on: refactor change, clean up change, post-change refactor, before commit cleanup, tidy current change.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 2,422
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
- 84 / 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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