anti-slop-fix

Audit and fix AI slop patterns in source code files in-place.

Updated Feb 28, 2026
One-click install
npx skills add https://github.com/b4r7x/agent-skills --skill anti-slop-fix
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: anti-slop-fix
Source: https://github.com/b4r7x/agent-skills/tree/main/anti-slop-fix
Command: npx skills add https://github.com/b4r7x/agent-skills --skill anti-slop-fix

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automatically identifies and corrects common "AI slop" patterns in source code, improving code quality and maintainability.

Core Features & Use Cases

  • Automated Code Cleanup: Fixes issues like unnecessary comments, redundant code, and verbose syntax.
  • In-place Modifications: Applies fixes directly to your files, reducing manual effort.
  • Use Case: After an AI assistant generates code, run this Skill to quickly clean up any AI-specific patterns or inefficiencies before committing.

Quick Start

Use the anti-slop-fix skill to automatically clean up the code in the current directory.

Frequently Asked Questions about anti-slop-fix

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

FAQPage Schema
How do I automatically fix AI slop in generated source code?

Automated code cleanup identifies and corrects AI slop patterns like unnecessary comments, redundant code, and verbose syntax, applying mechanical fixes directly to source files in-place.

Can I automatically clean up verbose syntax and redundant code without manual review?

Yes, automated code cleanup classifies issues into auto-fixable, semi-auto, and manual categories, applying mechanical fixes in-place while flagging complex changes for manual review.

Does this code cleanup tool apply fixes in-place across specific file paths?

Yes, code cleanup operates on specified file paths or globs, applying mechanical fixes directly to files in-place while prioritizing bottom-up application to maintain line number integrity.

What is the best way to audit AI code for unnecessary comments before committing?

Run automated code cleanup after AI code generation to audit for unnecessary comments, classifying issues into auto-fixable and manual categories, applying mechanical fixes before committing.

Are there limitations when refactoring complex AI code patterns automatically?

Automated code cleanup only applies mechanical fixes to auto-fixable issues, flagging complex AI code patterns for manual user review rather than attempting risky automated refactoring.