Agent skill

Slop

Remove AI-generated code slop from git diffs to maintain code quality

MITAuto-check passedDevelopment

Install Slop

skills CLI

$ npx skills add jellydn/my-ai-tools --skill slop -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install jellydn/my-ai-tools slop --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/jellydn/my-ai-tools.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/slop .claude/skills/slop && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "slop" agent skill from https://github.com/jellydn/my-ai-tools/tree/main/skills/slop into .claude/skills/slop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slop", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/jellydn/my-ai-tools/tree/main/skills/slop

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add jellydn/my-ai-tools --skill slop -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install jellydn/my-ai-tools slop --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/jellydn/my-ai-tools.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/slop .agents/skills/slop && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "slop" agent skill from https://github.com/jellydn/my-ai-tools/tree/main/skills/slop into .agents/skills/slop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slop", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add jellydn/my-ai-tools --skill slop -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install jellydn/my-ai-tools slop --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/jellydn/my-ai-tools.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/slop .cursor/skills/slop && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "slop" agent skill from https://github.com/jellydn/my-ai-tools/tree/main/skills/slop into .cursor/skills/slop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slop", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/jellydn/my-ai-tools.git --path skills/slop

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add jellydn/my-ai-tools --skill slop -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install jellydn/my-ai-tools slop --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/jellydn/my-ai-tools.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/slop .gemini/skills/slop && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "slop" agent skill from https://github.com/jellydn/my-ai-tools/tree/main/skills/slop into .gemini/skills/slop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slop", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install jellydn/my-ai-tools slop

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add jellydn/my-ai-tools --skill slop -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/jellydn/my-ai-tools.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/slop .github/skills/slop && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "slop" agent skill from https://github.com/jellydn/my-ai-tools/tree/main/skills/slop into .github/skills/slop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slop", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add jellydn/my-ai-tools --skill slop -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install jellydn/my-ai-tools slop --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/jellydn/my-ai-tools.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/slop .opencode/skills/slop && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "slop" agent skill from https://github.com/jellydn/my-ai-tools/tree/main/skills/slop into .opencode/skills/slop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slop", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: slop
GitHub stars: 123
Token cost: ~1.1k tokens
SKILL.md length: 494 words
Files: 1
Skills in repo: 33
Repo updated: Oct 10, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Remove AI-generated code slop from git diffs to maintain code quality

Works in 8 steps: Preserve Functionality → Apply Project Standards → Enhance Clarity → …
Tasks that involve Code quality
SKILL.md covers Usage, What is AI Code Slop?, Core Principles and Process, plus 2 more sections
Calls git and npm

What it does

Slop is an agent skill from jellydn/my-ai-tools. Remove AI-generated code slop from git diffs to maintain code quality

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: cline, claude, opencode, amp, codex, gemini, cursor, pi

It sits in Development, covering Code quality. It works with Git. The repository describes itself as: Comprehensive configuration management for AI coding tools - Replicate my complete setup for Claude Code, OpenCode, Amp, Li, Codex and Claude Code Switch with custom… The licence is MIT.

When your agent uses it

Tasks that involve Code quality

Example prompts

“/slop”

Requirements

Compatibility (from SKILL.md): cline, claude, opencode, amp, codex, gemini, cursor, pi

Workflow steps

8 steps, taken from the step headings in SKILL.md.

Preserve Functionality
Apply Project Standards
Enhance Clarity
Maintain Balance
Get the diff
Review each changed file
Remove slop and refine
Verify

What it can do on your machine

Read from SKILL.md and the folder at commit 62c9227. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- git
- npm
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use git and npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
cline, claude, opencode, amp, codex, gemini, cursor, pi
From compatibility in the SKILL.md frontmatter.

Context cost

Slop loads about 1.1k tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 494 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~19
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jellydn/my-ai-tools at commit 62c9227, republished under its MIT licence (© jellydn). 494 words, ~1,081 tokens.

Download SKILL.mdSave it as .claude/skills/slop/SKILL.md (or your agent's skills folder).

name: slop
description: Remove AI-generated code slop from git diffs to maintain code quality
compatibility: cline, claude, opencode, amp, codex, gemini, cursor, pi
license: MIT
hint: Use when cleaning up AI-generated code slop in git diffs
user-invocable: true
metadata.audience: all
metadata.workflow: code-quality

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:

Reducing unnecessary complexity and nesting
Eliminating redundant code and abstractions
Improving readability through clear variable and function names
Consolidating related logic
Removing unnecessary comments that describe obvious code
IMPORTANT: Use switch statements or if/else chains over nested ternary operators
Choose clarity over brevity - explicit code is often better than overly compact code

4. Maintain Balance

Preserve necessary complexity — over-simplification can:

Reduce code clarity or maintainability
Create overly clever solutions that are hard to understand
Combine too many concerns into single functions
Remove helpful abstractions that improve code organization
Prioritize "fewer lines" over readability

Process

1. Get the diff

bash

# Compare against main branch
git diff main...HEAD --stat

# Or against specific branch
git diff $1 --stat

2. Review each changed file

For each changed file:

Read the current content
Compare with original (before changes)
Identify AI-generated slop patterns
Check for opportunities to improve elegance and consistency

Show full SKILL.md (196 more words)Show less

3. Remove slop and refine

Remove unnecessary comments
Simplify overly defensive code
Remove any casts where possible
Restore natural code style
Apply project-specific best practices
Ensure all functionality remains unchanged

4. Verify

bash

# Show remaining changes
git diff --stat

# Check tests still pass
npm test

Common Slop Patterns

Over-commenting: Comments explaining obvious code
Verbose error handling: Try/catch blocks where not needed
Unnecessary type casts: x as any to bypass TypeScript
Defensive programming: Checks for already-validated inputs
Redundant validation: Duplicate null/undefined checks
Nested ternaries: Complex nested ternary operators
Overly compact code: Dense one-liners that sacrifice readability

When refining code:

Identify the modified sections - Only refine code that changed in the diff
Analyze for improvement opportunities - Look for ways to enhance elegance and consistency
Apply project standards - Follow established conventions and patterns
Preserve functionality - Ensure behavior remains unchanged
Verify improvements - The refined code should be simpler and more maintainable
Document significant changes - Only document changes that affect understanding

Code Style Preferences

Prefer explicit over compact - readable code beats clever code
Use descriptive names - clarity over brevity
Flatten deep nesting with early returns and guard clauses
Remove redundant code - eliminate duplicates
Use language-appropriate patterns - follow idiomatic practices

Files

Just SKILL.md in skills/slop of jellydn/my-ai-tools.

Open the folder on GitHubat commit 62c9227

Compare with similar skills

Slop next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Slop compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Slop this skilljellydn/my-ai-tools	123	—	~1.1k	Automated safety check: Pass	MIT	today
Qt C++ Code Reviewx-tools-author/x-tools	1.1k	2 repos	~4.3k	Automated safety check: Pass	BSD-3-Clause	today
Skill Doctorwarpdotdev/common-skills	610	2 repos	~2.6k	Automated safety check: Pass	MIT	yesterday
Ponytail Debt LedgerDietrichGebert/ponytail	160k	—	~453	Automated safety check: Pass	MIT	today
Worktrunk CLI Output Rulesmax-sixty/worktrunk	9.2k	—	~12k	Automated safety check: Pass	Custom licence	today
Adversarial Reviewer302ai/302-AI-Studio	132	1 repos	~3k	Automated safety check: Pass	MIT	1 mo ago

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Questions about Slop

What does Slop do?

Remove AI-generated code slop from git diffs to maintain code quality. Slop is an agent skill from jellydn/my-ai-tools.

When should I use Slop?

Slop fits situations like: tasks that involve Code quality.

How do I install Slop in Claude Code?

Run `npx skills add jellydn/my-ai-tools --skill slop -a claude-code`. Or copy the skill folder (skills/slop in jellydn/my-ai-tools) into .claude/skills/slop in your project. Claude Code loads it when a task matches its description.

How do I install Slop in Codex?

Run `npx skills add jellydn/my-ai-tools --skill slop -a codex`. Or copy the skill folder (skills/slop in jellydn/my-ai-tools) into .agents/skills/slop in your project. Codex loads it when a task matches its description.

Can I use Slop in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jellydn/my-ai-tools --skill slop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/slop, .gemini/skills/slop, .github/skills/slop and .opencode/skills/slop in your project.

What does Slop need to run?

Going by SKILL.md and its folder, Slop needs the command-line tools its instructions call (git and npm). Compatibility (from SKILL.md): cline, claude, opencode, amp, codex, gemini, cursor, pi.

Does Slop access the network?

SKILL.md contains no URLs. Its commands use git and npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Slop safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Slop use?

Slop is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Slop use?

About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Slop?

Skills that share tags, products or a category with Slop: Qt C++ Code Review (x-tools-author/x-tools, 1.1k stars), Skill Doctor (warpdotdev/common-skills, 610 stars), Ponytail Debt Ledger (DietrichGebert/ponytail, 160k stars) and Worktrunk CLI Output Rules (max-sixty/worktrunk, 9.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Slop?

jellydn (a GitHub user) maintains it in jellydn/my-ai-tools, which has 123 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 10, 2026.

Source: jellydn/my-ai-tools on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Slop

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Compatibility

Context cost

Safety

SKILL.md

Remove AI Code Slop

Usage

What is AI Code Slop?

Core Principles

1. Preserve Functionality

2. Apply Project Standards

3. Enhance Clarity

4. Maintain Balance

Process

1. Get the diff

2. Review each changed file

3. Remove slop and refine

4. Verify

Common Slop Patterns

Refinement Guidelines

Code Style Preferences

Files

Compare with similar skills

Similar skills

More from jellydn/my-ai-tools

Related

Questions about Slop