kaizen-codebase

kaizen-codebase is a Refactoring & code quality skill for AI agents, published by wkentaro in the dotfiles repository on GitHub. Skillspace rates kaizen-codebase D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Run one autonomous codebase-improvement pass on the current repo. Self-discover the single highest-leverage, low-risk improvement (architecture, tech debt, dead code, test gaps, simplification) and either ship it end-to-end as a non-draft PR for /process-prs to review and verdict, or, when it needs human judgment, file one needs-triage issue. Does exactly one thing then stops, so it composes with /loop for recurring improvement (e.g. `/loop /kaizen-codebase` or `/loop 1d /kaizen-codebase`). The self-directed sibling of /implement-issues: same shipping discipline, but it finds its own work instead of grabbing a ready-for-agent issue. Use when the user wants to continuously or periodically improve a repository, asks to "improve the codebase", set up a recurring code-quality agent, or run one improvement iteration.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
34

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
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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