How does it handle trust boundaries?

It intelligently differentiates between untrusted boundaries (like API inputs), where defensive checks are kept, and internal pipelines where such checks are considered redundant slop.

Does this skill refactor my entire project?

No, it operates strictly on the changes introduced in your current branch relative to the main branch, ensuring unrelated code remains untouched.

Will it accidentally delete my important comments?

No, the skill is specifically instructed to preserve meaningful domain comments that encode invariants, reasoning, constraints, or known pitfalls.

What does this skill consider 'AI slop'?

AI slop refers to unnecessary code additions like comments that narrate the obvious, redundant defensive checks, excessive logging, and non-idiomatic abstractions that don't add functional value.

Which programming languages are supported?

The skill applies general idiomatic principles applicable to most languages, with specific patterns provided for Python, Rust, and C++.

Anti-AI Slop

Name: Anti-AI Slop
Author: DeevsDeevs

byDeevsDeevs

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Developer Tools

Removes unnecessary AI-generated boilerplate, redundant logic, and non-idiomatic code from your git branches to maintain a clean codebase.

About

The Anti-AI Slop skill acts as an automated code reviewer that identifies and eliminates low-value code patterns often introduced by AI assistants. It specifically targets 'slop' such as redundant comments, unnecessary defensive checks in trusted paths, over-engineered abstractions, and noisy logging. By focusing on the minimal diff required to achieve a goal, it ensures that your commits remain idiomatic and consistent with the existing repository style, preventing the accumulation of technical debt and 'AI-style' bloat.

Key Features

Filters out noisy logging, placeholder TODOs, and Unicode hazards.
17 GitHub stars
Inlines single-use variables and simplifies unnecessary helper functions.
Aligns new code with existing repository patterns and local conventions.
Eliminates redundant defensive checks and assertions in internal codepaths.
Removes narrative comments and documentation bloat that merely restates code.

Use Cases

Minimizing git diffs to focus only on essential logic changes for easier review.
Sanitizing codebases from common AI artifacts like smart quotes or zero-width spaces.
Polishing AI-generated code before submitting a pull request to match team standards.

About

Key Features

Filters out noisy logging, placeholder TODOs, and Unicode hazards.
17 GitHub stars
Inlines single-use variables and simplifies unnecessary helper functions.
Aligns new code with existing repository patterns and local conventions.
Eliminates redundant defensive checks and assertions in internal codepaths.
Removes narrative comments and documentation bloat that merely restates code.

Use Cases

Minimizing git diffs to focus only on essential logic changes for easier review.
Sanitizing codebases from common AI artifacts like smart quotes or zero-width spaces.
Polishing AI-generated code before submitting a pull request to match team standards.