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Agent skill

AI Slop Cleaner

by zereight in zereight/gitlab-mcp

Clean AI-generated code slop with regression-safe workflow. An agent skill from zereight/gitlab-mcp.

MITAuto-check passedWriting & Content

Install AI Slop Cleaner

skills CLI
$ npx skills add zereight/gitlab-mcp --skill ai-slop-cleaner -a claude-code

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

GitHub CLI
$ gh skill install zereight/gitlab-mcp ai-slop-cleaner --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/zereight/gitlab-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/ai-slop-cleaner .claude/skills/ai-slop-cleaner && 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/

Facts

Skill name
ai-slop-cleaner
GitHub stars
2k
Used in
1 other repo
Token cost
~361 tokens
SKILL.md length
153 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
MIT

At a glance

Clean AI-generated code slop with regression-safe workflow. An agent skill from zereight/gitlab-mcp.

  • Works in 6 steps: Identify target files/scope → Run existing tests (baseline) → Apply deletions first (dead code, unused… → …
  • Clean up this code
  • SKILL.md covers When to Use, When NOT to Use, Principles and Slop Signals, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

AI Slop Cleaner is an agent skill from zereight/gitlab-mcp. Clean AI-generated code slop with regression-safe workflow. Activate when user says: deslop, anti-slop, AI slop, cleanup slop, clean up this code, remove bloat.

Its SKILL.md is about 360 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Writing & Content, covering Humanizing AI text. The repository describes itself as: First gitlab mcp for you, building together. The licence is MIT.

When your agent uses it

  • Clean up this code
  • Tasks that involve Humanizing AI text

Example prompts

  • “/ai-slop-cleaner”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Identify target files/scope
  2. Run existing tests (baseline)
  3. Apply deletions first (dead code, unused imports)
  4. Simplify remaining code (reduce nesting, merge duplicates)
  5. Re-run tests after each change
  6. Report what was cleaned and verification results

What it can do on your machine

Read from SKILL.md and the folder at commit 3c3e4da. 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

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    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.

Context cost

AI Slop Cleaner loads about 361 tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 153 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~44
When it runs · the whole SKILL.md, loaded when a task matches
~361

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 zereight/gitlab-mcp at commit 3c3e4da, republished under its MIT licence (© zereight). 153 words, ~361 tokens.

Download SKILL.mdSave it as .claude/skills/ai-slop-cleaner/SKILL.md (or your agent's skills folder).
name
ai-slop-cleaner
description
Clean AI-generated code slop with regression-safe workflow. Activate when user says: deslop, anti-slop, AI slop, cleanup slop, clean up this code, remove bloat.
argument-hint
[--review] [files or scope]

AI Slop Cleaner

Clean AI-generated code slop without changing behavior. Deletion-first workflow with regression safety.

When to Use

  • Code that works but feels bloated, repetitive, or over-abstracted
  • Duplicate logic, dead code, wrapper layers, boundary leaks
  • --review for reviewer-only mode (no changes, just findings)

When NOT to Use

  • New feature build or product change
  • Broad redesign
  • Behavior is unclear and untestable

Principles

  • Preserve behavior unless explicitly asked for changes
  • Delete before refactoring — removal is safest
  • Scope-bounded: only clean what was specified
  • Regression-safe: verify tests pass after every change

Slop Signals

  • Unnecessary wrapper functions
  • Duplicated logic across files
  • Over-abstracted single-use helpers
  • Dead code / unreachable branches
  • Excessive comments restating obvious code
  • Premature abstractions (used only once)

Workflow

  1. Identify target files/scope
  2. Run existing tests (baseline)
  3. Apply deletions first (dead code, unused imports)
  4. Simplify remaining code (reduce nesting, merge duplicates)
  5. Re-run tests after each change
  6. Report what was cleaned and verification results

© zereight, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .github/skills/ai-slop-cleaner of zereight/gitlab-mcp.

Open the folder on GitHubat commit 3c3e4da

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in zereight/gitlab-mcp, which our catalogue first saw on October 7, 2026.

Compare with similar skills

AI Slop Cleaner 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.

AI Slop Cleaner compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
AI Slop Cleaner this skillzereight/gitlab-mcp2k1 repos~361Automated safety check: PassMIT
HumanizerAzure-Samples/interview-coach-agent-framework17338 repos~5.8kAutomated safety check: PassMIT
Avoid AI Writingconorbronsdon/avoid-ai-writing4.9k3 repos~8.1kAutomated safety check: PassMIT
User-Facing Text Cleanupguillaumemeyer/watermarks-remover24k—~3.5kAutomated safety check: PassMIT
Install Anti Sloptrycompai/crm11k1 repos~881Automated safety check: PassMIT
Stop SlopXe/site7328 repos~423Automated safety check: PassMIT

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    11k GitHub starsUsed in 1 repo~881 tokens
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    732 GitHub starsUsed in 8 repos~423 tokens
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    19k GitHub stars~2k tokensUpdated 18 days ago
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Categories

Questions about AI Slop Cleaner

What does AI Slop Cleaner do?

Clean AI-generated code slop with regression-safe workflow. An agent skill from zereight/gitlab-mcp. AI Slop Cleaner is an agent skill from zereight/gitlab-mcp. Clean AI-generated code slop with regression-safe workflow.

When should I use AI Slop Cleaner?

AI Slop Cleaner fits situations like: clean up this code; tasks that involve Humanizing AI text.

How do I install AI Slop Cleaner in Claude Code?

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

How do I install AI Slop Cleaner in Codex?

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

Can I use AI Slop Cleaner 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 zereight/gitlab-mcp --skill ai-slop-cleaner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-slop-cleaner, .gemini/skills/ai-slop-cleaner, .github/skills/ai-slop-cleaner and .opencode/skills/ai-slop-cleaner in your project.

What does AI Slop Cleaner need to run?

SKILL.md names no scripts, command-line tools or credentials: AI Slop Cleaner is instructions for the agent only.

Does AI Slop Cleaner access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is AI Slop Cleaner 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 AI Slop Cleaner use?

AI Slop Cleaner is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does AI Slop Cleaner use?

About 361 tokens (SKILL.md is roughly 1.4k 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 AI Slop Cleaner?

Skills that share tags, products or a category with AI Slop Cleaner: Humanizer (Azure-Samples/interview-coach-agent-framework, 173 stars), Avoid AI Writing (conorbronsdon/avoid-ai-writing, 4.9k stars), User-Facing Text Cleanup (guillaumemeyer/watermarks-remover, 24k stars) and Install Anti Slop (trycompai/crm, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains AI Slop Cleaner?

zereight (a GitHub user) maintains it in zereight/gitlab-mcp, which has 2,033 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 10, 2026.

Source: zereight/gitlab-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.