ai-slop-cleaner

Remove redundant AI-generated code patterns while preserving existing behavior.

1|Updated Apr 6, 2026

Search Tags:#ai #refactor #review #software-engineering #code-cleanup #regression-testing

Ready to run

npx skills add https://github.com/Hyeonjun0527/yeon --skill ai-slop-cleaner-hyeonjun0527

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ai-slop-cleaner
Source: https://github.com/Hyeonjun0527/yeon/tree/main/.codex/skills/ai-slop-cleaner
Command: npx skills add https://github.com/Hyeonjun0527/yeon --skill ai-slop-cleaner-hyeonjun0527

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Clean AI-generated code slop without drifting scope or changing intended behavior through a regression-safe, deletion-first workflow, and support for an optional reviewer-only mode.

Core Features & Use Cases

Focused anti-slop cleanup that preserves behavior and reduces noise in AI-assisted code generation.
Supports a bounded scope and reviewer-only mode via --review for safety.
Helps maintain lean, test-covered code in AI-assisted development.

Quick Start

Apply a bounded cleanup pass on the target module to remove redundant AI-generated code while preserving behavior and test coverage.

Frequently Asked Questions about ai-slop-cleaner

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

FAQPage Schema

How do I clean up AI-generated code slop without changing existing behavior?▼

To clean up AI-generated code slop safely, apply a deletion-first workflow that removes redundant patterns and wrapper layers while enforcing regression verification to preserve existing behavior. This bounded approach prevents scope drift and maintains test coverage.

What is a deletion-first code cleanup workflow?▼

A deletion-first code cleanup workflow remediates noisy AI-generated output by strictly removing redundant patterns rather than adding new code or dependencies. It preserves intended behavior by relying on bounded scope execution and regression verification.

Can I review AI code slop before applying any deletions?▼

Yes, you can review AI code slop before applying changes by running a reviewer-only pass using the --review flag. This mode safely highlights redundant patterns and wrapper layers for inspection without immediately modifying the codebase.

Does this code cleanup process require adding new dependencies?▼

No, this code cleanup process does not require adding any new dependencies. It remediates AI-generated code slop by strictly enforcing a deletion-first workflow that removes redundant patterns while preserving existing behavior.

How do I remove redundant wrapper layers from AI-assisted code generation?▼

To remove redundant wrapper layers from AI-assisted code generation, target the noisy modules with a bounded cleanup pass. This removes the unnecessary wrapper layers while maintaining lean, test-covered code through regression verification.

What are the limitations of using a bounded scope for code refactoring?▼

The limitation of using a bounded scope for code refactoring is that cleanup is restricted to targeted modules to ensure safety. It strictly enforces a deletion-first workflow with regression verification, meaning incomplete tests may limit broader automated remediation.