ai-slop-cleaner

Refactor AI-generated code by simplifying and removing duplication without changing behavior.

Updated May 30, 2026
One-click install
npx skills add https://github.com/kwt00/oh-my-grok --skill ai-slop-cleaner-kwt00
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-slop-cleaner
Source: https://github.com/kwt00/oh-my-grok/tree/main/skills/ai-slop-cleaner
Command: npx skills add https://github.com/kwt00/oh-my-grok --skill ai-slop-cleaner-kwt00

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill helps users refine code that has been generated by AI, addressing concerns like overabstraction, duplication, and lack of test coverage, without altering intended behavior.

Core Features & Use Cases

  • Behaviorally Preserved Refactoring: Simplify code while maintaining the original functionality.
  • Targeted Cleanup: Clean and optimize specific files or modules as determined by the user.
  • Reviewer Mode: Enable reviewer-only checks post-cleanup to ensure no unintended behavior changes.

Quick Start

Run the ai-slop-cleaner on a file for cleanup: /oh-my-grok:ai-slop-cleaner <file-name>

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 refactor AI-generated code without changing its behavior?

Refactoring AI-generated code safely requires applying test-guided code optimization to simplify structures and remove duplication while preserving the original behavior. This approach ensures regression protection during targeted cleanup of specific files or modules.

What is the best way to clean up code duplication in AI-generated files?

The best way to clean up code duplication in AI-generated files is through targeted refactoring that removes redundant blocks and simplifies overabstractions. This code cleanup approach preserves the intended behavior while optimizing the file structure.

Can I check AI-generated code for unintended behavior changes after refactoring?

Yes, you can check AI-generated code for unintended behavior changes after refactoring by using reviewer mode. This mode performs safety checks post-cleanup to verify that the code optimization process strictly preserved the original functionality.

How do I simplify overabstraction in AI-generated code?

You simplify overabstraction in AI-generated code by applying behaviorally preserved refactoring techniques that reduce unnecessary complexity. This cleanup strategy uses test-guided simplification to optimize the codebase without modifying its intended behavior.

Does refactoring AI-generated code remove the need for safety checks?

No, refactoring AI-generated code does not remove the need for safety checks. Behavior preservation requires test-guided code optimization and regression protection to ensure that simplification and duplication removal do not introduce unintended functional changes.