ai-slop-cleaner

Clean AI-generated code slop while preserving behavior with regression tests.

1|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/OliverOuyang/shuhe-work-skills --skill ai-slop-cleaner-oliverouyang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-slop-cleaner
Source: https://github.com/OliverOuyang/shuhe-work-skills/tree/main/skills/ai-slop-cleaner
Command: npx skills add https://github.com/OliverOuyang/shuhe-work-skills --skill ai-slop-cleaner-oliverouyang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-generated or machine-assisted edits can leave working code bloated, duplicated, weakly tested, or over-abstracted, making maintenance harder and increasing regression risk; this Skill guides a safe, deletion-first cleanup that preserves behavior.

Core Features & Use Cases

  • Behavior-preserving cleanup: Prioritizes locking behavior with targeted regression tests before making edits.
  • Deletion-first, smell-focused passes: Structured passes for dead code removal, duplicate consolidation, naming and error-handling cleanup, and test reinforcement.
  • Reviewer-only workflow: Supports a --review mode to separate writer and reviewer responsibilities for high-impact anti-slop passes.
  • Ralph and scoped-file support: Operates on explicit file lists, changed-file scopes, or Ralph session changed files to limit risk and surface area.

Quick Start

Run an anti-slop cleanup on the specified files by invoking /oh-my-claudecode:ai-slop-cleaner <target> and add --review to perform a reviewer-only inspection.

Frequently Asked Questions about ai-slop-cleaner

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I safely remove AI-generated code bloat without changing behavior?

To remove AI-generated code bloat safely, lock behavior with focused regression tests first, then apply a deletion-first workflow to eliminate dead code, duplicates, and over-abstractions while preserving the original functionality.

What is the best way to clean up duplicated code left by AI edits?

The best way to clean up duplicated AI code is to run smell-focused passes that consolidate duplicates, improve naming, and reinforce error handling. Using a reviewer-only --review mode separates inspection from editing for safer consolidation.

How do I perform a code cleanup pass on only changed files?

You can perform a targeted code cleanup by applying the anti-slop pass to explicit file lists, changed-file scopes, or Ralph session changed files, limiting the risk and surface area to only the recently modified code.

Can I inspect AI code slop without automatically modifying the files?

Yes, you can inspect AI code slop without modifications by using the reviewer-only --review mode, which separates writer and reviewer responsibilities to surface dead code and over-abstractions for inspection before any deletion occurs.

Why should I write regression tests before deleting dead code?

Writing regression tests before deleting dead code locks the current behavior, ensuring that your deletion-first cleanup and duplicate consolidation do not introduce regressions or alter the working application's output.

Does ai-slop-cleaner require any external dependencies to run?

No, ai-slop-cleaner does not require any external dependencies to run. It operates directly on bounded file lists or Ralph session changed files to perform behavior-preserving cleanup and test reinforcement.