Home / yeaight7 / agent-powerups · skills/ai-slop-cleaner/SKILL.md · GitHub

ai-slop-cleaner skillA

ai-slop-cleaner is agent-read markdown (skill) from yeaight7/agent-powerups: Use when a working code path feels bloated, noisy, or over-abstracted, when asked to clean up or deslop AI-generated code, or when a reviewer-only anti-slop pass is requested..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

## Purpose

Reduce AI-generated code bloat through systematic, smell-by-smell cleanup that preserves existing behavior and raises signal quality.

## When to Use

- A code path works but feels bloated, noisy, repetitive, or over-abstracted.
- A user asks to "cleanup", "refactor", or "deslop" AI-generated output.
- Follow-up implementation left duplicate code, dead code, weak boundaries, or missing tests.
- A disciplined cleanup workflow is needed without broad rewrites.
- The user wants a reviewer-only anti-slop pass via `--review` mode.

This skill accepts an optional **file list scope**. If a changed-files list is provided, keep the cleanup strictly bounded to those files. Do not silently expand a changed-file scope.

## Inputs

- Codebase or module to clean (or explicit file list scope).
- Existing test suite (required — behavior must be locked before editing).

## Workflow

1. **Lock behavior with regression tests first**
   - Identify the behavior that must not change.
   - Add or run targeted regression tests before touching cleanup candidates.
   - If behavior is currently untested, write the narrowest test coverage needed first.

2. **Create a cleanup plan before code**
…

Read the whole file at its exact version.

How to install

Latest version
mdr add yeaight7/agent-powerups/ai-slop-cleaner@git:20260606.b765041
Exact content
mdr add yeaight7/agent-powerups/ai-slop-cleaner@sha256:a9f9e366e3ffc1cc

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ohgiuszdi56ixpuj.svg)](https://markdownregistry.com/a/art_ohgiuszdi56ixpuj)

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
git:20260606.b765041 latest2026-06-06 b765041 4,330 BA view · diff
git:20260504.7ed0ef82026-05-04 7ed0ef8 4,309 BA view · diff
git:20260427.a3e39732026-04-27 a3e3973 3,676 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4330 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

yeaight7/agent-powerups · 6 stars · license Apache-2.0 · pushed 2026-09-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ohgiuszdi56ixpuj
GET https://markdownregistry.com/api/v1/resolve?ref=yeaight7/agent-powerups/ai-slop-cleaner
GET https://markdownregistry.com/api/v1/blob/a9f9e366e3ffc1cca0b1c8981c6d9f6c65439c72458e60daf6e485b346a5e0c6

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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