Home / jellydn / my-ai-tools · configs/amp/plugins/my-ai-tools-skills/skills/slop/SKILL.md · GitHub

slop skillA

slop is agent-read markdown (skill) from jellydn/my-ai-tools: Remove AI-generated code slop from git diffs to maintain code quality.

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

# Remove AI Code Slop

Check the diff against a branch and remove all AI-generated slop introduced in this branch. Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality.

## Usage

`/slop [branch-name]`

- If no branch is provided, compare against main: `/slop main`

## What is AI Code Slop?

This includes:

- Extra comments that a human wouldn't add or is inconsistent with the rest of the file
- Extra defensive checks or try/catch blocks that are abnormal for that area of the codebase
- Casts to `any` to get around type issues
- Any other style that is inconsistent with the file

## Core Principles

### 1. Preserve Functionality

Never change what the code does - only how it does it. All original features, outputs, and behaviors must remain intact.

### 2. Apply Project Standards

Follow the established coding standards from `@CLAUDE.md` or conventions:

- Use proper import sorting and file organization
- Follow language-specific patterns (ES modules, proper TypeScript types, etc.)
- Maintain consistent naming conventions
- Use proper error handling patterns

### 3. Enhance Clarity

Simplify code structure by:
…

Read the whole file at its exact version.

How to install

Latest version
mdr add jellydn/my-ai-tools/slop@git:20260814.d1987f5
Exact content
mdr add jellydn/my-ai-tools/slop@sha256:d6902b6ec27e74fb

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_2kidiyvnumwis3mf.svg)](https://markdownregistry.com/a/art_2kidiyvnumwis3mf)

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
git:20260814.d1987f5 latest2026-08-14 d1987f5 4,324 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 (4324 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

jellydn/my-ai-tools · 121 stars · license MIT · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_2kidiyvnumwis3mf
GET https://markdownregistry.com/api/v1/resolve?ref=jellydn/my-ai-tools/slop
GET https://markdownregistry.com/api/v1/blob/d6902b6ec27e74fb9cfd1514fc69fb8ca4a2ad174d0828d02bf74e0c1b8157e3

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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