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ai-slop-cleaner

Remove duplicated and dead code while preserving behavior with regression tests.

Updated Aug 23, 2026
Search Tags:#automation#refactor#software-engineering#code-cleanup#review-workflow#regression-tests#ai-slop-cleaner
One-click install
npx skills add https://github.com/0xAndoroid/dotfiles --skill ai-slop-cleaner-0xandoroid
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-slop-cleaner
Source: https://github.com/0xAndoroid/dotfiles/tree/main/claude/skills/ai-slop-cleaner
Command: npx skills add https://github.com/0xAndoroid/dotfiles --skill ai-slop-cleaner-0xandoroid

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-generated code slop can accumulate bloated patterns, duplicate logic, and weak test coverage, causing maintenance pain and drift from intent.

Core Features & Use Cases

  • Bounded, regression-safe cleanup passes that target bloated or duplicated code without changing behavior
  • Optional reviewer-only mode (--review) to perform anti-slop analysis before final delivery
  • Structured workflow: plan, identify slop categories (duplication, dead code, needless abstraction, boundary violations), execute minimally invasive edits, verify with regression checks

Quick Start

Provide the changed files list and run the ai-slop-cleaner in standard mode to begin a regression-safe deletion-first cleanup

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 without breaking existing behavior?▼

To clean up AI-generated code safely, you must protect current behavior with regression tests, produce a cleanup plan, execute minimally invasive edits, and verify results with regression checks.

What is AI code slop and how does it affect software maintenance?▼

AI code slop is bloated, duplicated, or weakly tested generated logic that causes maintenance pain and drift from intent, typically categorized into duplication, dead code, needless abstraction, and boundary violations.

Can I review AI-generated code for slop without modifying the files?▼

Yes, you can use an optional reviewer-only mode to perform anti-slop analysis and categorize bloated patterns before final delivery, without applying any minimally invasive edits.

What's the best way to refactor duplicated AI logic in a post-review workflow?▼

The best way to refactor duplicated AI logic is using a bounded, deletion-first cleanup workflow that categorizes slop, executes targeted passes in order, and relies on regression tests to stay regression-safe.

Do I need regression tests to remove dead code and needless abstractions?▼

Yes, regression tests are required to protect current behavior before executing cleanup passes, ensuring that removing dead code and needless abstractions does not introduce regressions or alter functionality.

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