Deslop
millionco/react-doctor
Simplify and refine recently modified code while preserving functionality.
Corrective cleanup of AI-generated code — removes LLM-specific patterns while preserving behavior.
Install Clean AI Slop
$ npx skills add tmdgusya/engineering-discipline --skill clean-ai-slop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tmdgusya/engineering-discipline clean-ai-slop --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/tmdgusya/engineering-discipline.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/clean-ai-slop .claude/skills/clean-ai-slop && rm -rf skills-srcUse ~/.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/
Install the "clean-ai-slop" agent skill from https://github.com/tmdgusya/engineering-discipline/tree/main/skills/clean-ai-slop into .claude/skills/clean-ai-slop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clean-ai-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 install https://github.com/tmdgusya/engineering-discipline/tree/main/skills/clean-ai-slopType 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.
$ npx skills add tmdgusya/engineering-discipline --skill clean-ai-slop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tmdgusya/engineering-discipline clean-ai-slop --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tmdgusya/engineering-discipline.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/clean-ai-slop .agents/skills/clean-ai-slop && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "clean-ai-slop" agent skill from https://github.com/tmdgusya/engineering-discipline/tree/main/skills/clean-ai-slop into .agents/skills/clean-ai-slop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clean-ai-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.
$ npx skills add tmdgusya/engineering-discipline --skill clean-ai-slop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tmdgusya/engineering-discipline clean-ai-slop --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tmdgusya/engineering-discipline.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/clean-ai-slop .cursor/skills/clean-ai-slop && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "clean-ai-slop" agent skill from https://github.com/tmdgusya/engineering-discipline/tree/main/skills/clean-ai-slop into .cursor/skills/clean-ai-slop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clean-ai-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 https://github.com/tmdgusya/engineering-discipline.git --path skills/clean-ai-slop--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add tmdgusya/engineering-discipline --skill clean-ai-slop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tmdgusya/engineering-discipline clean-ai-slop --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tmdgusya/engineering-discipline.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/clean-ai-slop .gemini/skills/clean-ai-slop && rm -rf skills-srcUse ~/.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/
Install the "clean-ai-slop" agent skill from https://github.com/tmdgusya/engineering-discipline/tree/main/skills/clean-ai-slop into .gemini/skills/clean-ai-slop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clean-ai-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.
$ gh skill install tmdgusya/engineering-discipline clean-ai-slopInstalls 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).
$ npx skills add tmdgusya/engineering-discipline --skill clean-ai-slop -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tmdgusya/engineering-discipline.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/clean-ai-slop .github/skills/clean-ai-slop && rm -rf skills-srcUse ~/.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/
Install the "clean-ai-slop" agent skill from https://github.com/tmdgusya/engineering-discipline/tree/main/skills/clean-ai-slop into .github/skills/clean-ai-slop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clean-ai-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.
$ npx skills add tmdgusya/engineering-discipline --skill clean-ai-slop -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tmdgusya/engineering-discipline clean-ai-slop --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tmdgusya/engineering-discipline.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/clean-ai-slop .opencode/skills/clean-ai-slop && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "clean-ai-slop" agent skill from https://github.com/tmdgusya/engineering-discipline/tree/main/skills/clean-ai-slop into .opencode/skills/clean-ai-slop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clean-ai-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
clean-ai-slop- GitHub stars
- 125
- Token cost
- ~1.9k tokens
- SKILL.md length
- 976 words
- Files
- 1
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- None found
At a glance
Corrective cleanup of AI-generated code — removes LLM-specific patterns while preserving behavior.
- Works in 5 steps: Lock behavior before cleaning. Run… → One smell category per pass. Do not mix… → Run tests after every pass. If tests… → …
- The user says deslop
- SKILL.md covers Hard Gates, When To Use, When NOT To Use and Smell Categories, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Clean AI Slop is an agent skill from tmdgusya/engineering-discipline. Corrective cleanup of AI-generated code — removes LLM-specific patterns while preserving behavior. Use when the user says "deslop", "slop", "clean AI code", "remove AI patterns", or when you spot LLM-generated code smells after any generation session. For general post-change review and fixes ("clean up", "simplify"), use the simplify skill instead.
Its SKILL.md is about 1.9k 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 Development, covering Refactoring and Humanizing AI text. The repository describes itself as: SKILL for engineering-discipline.
When your agent uses it
- The user says deslop
- Remove AI patterns
- You spot LLM-generated code smells after any generation session
Example prompts
- “deslop”
- “clean AI code”
- “remove AI patterns”
- “/clean-ai-slop”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Lock behavior before cleaning. Run existing tests. If coverage is insufficient, add regression tests for the code you're about to touch…
- One smell category per pass. Do not mix dead code removal with naming fixes. Complete one pass, verify, then start the next.
- Run tests after every pass. If tests fail, revert the pass and investigate. Do not proceed to the next category.
- Stay in scope. Only touch files that were generated or modified by AI. Do not expand into "nearby" code that looks like it could use…
- Preserve behavior exactly. If a cleanup changes observable behavior — even if you think the new behavior is "better" — revert it. Behavior…
What it can do on your machine
Read from SKILL.md and the folder at commit 137dead. 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
Clean AI Slop loads about 1.9k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 976 words of instructions outside code blocks.
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 976 words (~1,877 tokens).
“A corrective discipline for cleaning AI-generated code. Runs after code generation — whether from run-plan, a manual session, or any other source.”
- name
- clean-ai-slop
Files
Just SKILL.md in skills/clean-ai-slop of tmdgusya/engineering-discipline.
Open the folder on GitHubat commit 137dead
Compare with similar skills
Clean AI 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Clean AI Slop this skilltmdgusya/engineering-discipline | 125 | — | ~1.9k | Automated safety check: Pass | None | |
| Deslopmillionco/react-doctor | 15k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Omh AI Slop Cleanerrlaope/oh-my-hermes | 3.3k | — | ~2.7k | Automated safety check: Pass | MIT | |
| DeslopMrZoyo/deslop-GPT | 138 | — | ~4k | Automated safety check: Pass | MIT | |
| Prism Maintainirfndi/prism-liquidity-agent | 124 | — | ~1k | Automated safety check: Pass | MIT | |
| Deslopsanity-io/sanity | 6.4k | 6 repos | ~180 | Automated safety check: Pass | MIT |
Similar skills
Omh AI Slop Cleaner
rlaope/oh-my-hermes
[omh] Messy or AI-generated code to clean up: delete AI-generated slop, dead code, and duplication while observable behavior stays identical.
Deslop
MrZoyo/deslop-GPT
Audit or apply evidence-backed, test-first subtractive cleanup for accumulated agent-created test bloat, verification theater, and defensive or fallback bloat while preserving independent external…
Prism Maintain
irfndi/prism-liquidity-agent
Maintain the Prism codebase: measure cyclomatic complexity, refactor hotspots, and enforce the anti-slop type discipline.
- Official
Deslop
sanity-io/sanity
Remove AI-generated code slop and clean up code style. An agent skill from sanity-io/sanity.
Unslop Text
JCarterJohnson/vibecoded-design-tells
Strips the cues that make prose read as AI-generated and forces a deliberate human voice instead of the model's default register.
More from tmdgusya/engineering-discipline
All 11 skills in this repoClarification
tmdgusya/engineering-discipline
A skill your agent uses when a user's request is vague, ambiguous, or underspecified.
Karpathy
tmdgusya/engineering-discipline
Behavioral guardrails to prevent common LLM coding mistakes — enforces surgical changes, assumption verification, and scope discipline before and during implementation.
Plan Crafting
tmdgusya/engineering-discipline
A skill your agent uses when a task's scope is clear and multi-step implementation is needed, before touching code.
Review Work
tmdgusya/engineering-discipline
Use after run-plan completes to independently verify the implementation.
Run Plan
tmdgusya/engineering-discipline
A skill your agent uses when you have a written implementation plan to execute.
Systematic Debugging
tmdgusya/engineering-discipline
A skill your agent uses when encountering any bug, test failure, or unexpected behavior.
Related
Categories
Questions about Clean AI Slop
What does Clean AI Slop do?
Corrective cleanup of AI-generated code — removes LLM-specific patterns while preserving behavior. Clean AI Slop is an agent skill from tmdgusya/engineering-discipline. Corrective cleanup of AI-generated code — removes LLM-specific patterns while preserving behavior.
When should I use Clean AI Slop?
Clean AI Slop fits situations like: the user says deslop; remove AI patterns; you spot LLM-generated code smells after any generation session.
How do I install Clean AI Slop in Claude Code?
Run `npx skills add tmdgusya/engineering-discipline --skill clean-ai-slop -a claude-code`. Or copy the skill folder (skills/clean-ai-slop in tmdgusya/engineering-discipline) into .claude/skills/clean-ai-slop in your project. Claude Code loads it when a task matches its description.
How do I install Clean AI Slop in Codex?
Run `npx skills add tmdgusya/engineering-discipline --skill clean-ai-slop -a codex`. Or copy the skill folder (skills/clean-ai-slop in tmdgusya/engineering-discipline) into .agents/skills/clean-ai-slop in your project. Codex loads it when a task matches its description.
Can I use Clean AI 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 tmdgusya/engineering-discipline --skill clean-ai-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/clean-ai-slop, .gemini/skills/clean-ai-slop, .github/skills/clean-ai-slop and .opencode/skills/clean-ai-slop in your project.
What does Clean AI Slop need to run?
SKILL.md names no scripts, command-line tools or credentials: Clean AI Slop is instructions for the agent only.
Does Clean AI Slop 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 Clean AI 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 Clean AI Slop use?
No licence was found for Clean AI Slop or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Clean AI Slop use?
About 1.9k tokens (SKILL.md is roughly 7.5k 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 Clean AI Slop?
Skills that share tags, products or a category with Clean AI Slop: Deslop (millionco/react-doctor, 15k stars), Omh AI Slop Cleaner (rlaope/oh-my-hermes, 3.3k stars), Deslop (MrZoyo/deslop-GPT, 138 stars) and Prism Maintain (irfndi/prism-liquidity-agent, 124 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Clean AI Slop?
tmdgusya (a GitHub user) maintains it in tmdgusya/engineering-discipline, which has 125 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on July 3, 2026.
Source: tmdgusya/engineering-discipline on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.