agentleFS
baovbaov/proof-over-vibes/skills/ai-code-remediation/SKILL.md

ai-code-remediation

Skill3 starsChanged 52 days agoNo licenceView on GitHub

Cold audit of a codebase written mostly by AI, followed by a remediation plan prioritized under a strict doctrine (TDD, Mikado method, micro-iteration). Use it SYSTEMATICALLY when the user asks to "audit this codebase", "size up the debt in this AI-generated project", "clean up a vibe-coded project", "figure out what the agents produced", "remediation plan", "clean up this code", or doubts the quality of a project written largely by agents — even when the word "audit" never comes up. Covers 8 categories of symptoms typical of AI-generated code. Do not confuse it with premerge-review (a diff before merge, not a whole codebase) or with codebase-cartographer (documentation, not diagnosis). May invoke ddd-advisor when the symptoms are really about domain design.

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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