deslop

Remove AI-generated comments and defensive checks from the current Git branch.

2|Updated Jan 21, 2026

Search Tags:#git #refactoring #code-quality #static-analysis #code-cleanup #deslop

Ready to run

npx skills add https://github.com/roderik/mpe --skill deslop-roderik

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deslop
Source: https://github.com/roderik/mpe/tree/main/.agents/skills/deslop
Command: npx skills add https://github.com/roderik/mpe --skill deslop-roderik

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers clean up AI-generated slop in the current Git branch by removing irrelevant comments, redundant defensive checks, and inconsistent style introduced by AI-assisted coding.

Core Features & Use Cases

Automated cleanup: Removes non-essential comments and stray AI-inserted code artifacts to improve readability.
Style alignment: Harmonizes formatting and defensive patterns with the project's established conventions.
Use Case: After generating code with an AI tool, run this Skill to produce a lean, production-ready snippet in your branch.

Quick Start

Run the deslop workflow on your current branch to clean up AI-generated slop and prepare for review.

Frequently Asked Questions about deslop

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

FAQPage Schema

How do I clean up AI-generated code slop from a Git branch?▼

Running an automated cleanup workflow on your current Git branch analyzes code artifacts for non-human patterns, removes irrelevant comments and redundant defensive checks, and reports a concise summary of changes to prepare your code for review.

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

AI code slop consists of extra comments, redundant defensive checks, and inconsistent style introduced by AI-assisted coding tools across multiple files, which degrades code readability and requires static analysis to clean up before production.

Does automated code cleanup work with standard Git workflows?▼

Automated code cleanup satisfies standard Git workflows by analyzing the current branch directly, processing code artifacts to remove non-human patterns, and providing a concise summary of style and comment changes for review.

When should I run static analysis to remove AI artifacts from my code?▼

Run static analysis to remove AI artifacts immediately after AI-assisted code generation and before code review, ensuring the branch is free of non-essential comments and stray defensive patterns before merging into production.

Can I harmonize inconsistent formatting introduced by AI coding tools?▼

You can harmonize inconsistent formatting by running a cleanup workflow that aligns code style with project established conventions, targeting AI-inserted artifacts and defensive patterns to produce lean, production-ready code snippets.