Clean AI Slop
tmdgusya/engineering-discipline
Corrective cleanup of AI-generated code — removes LLM-specific patterns while preserving behavior.
Simplify and refine recently modified code while preserving functionality.
$ npx skills add millionco/react-doctor --skill deslop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install millionco/react-doctor deslop --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/millionco/react-doctor.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/deslop .claude/skills/deslop && 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 "deslop" agent skill from https://github.com/millionco/react-doctor/tree/main/.agents/skills/deslop into .claude/skills/deslop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deslop", 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/millionco/react-doctor/tree/main/.agents/skills/deslopType 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 millionco/react-doctor --skill deslop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install millionco/react-doctor deslop --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/millionco/react-doctor.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/deslop .agents/skills/deslop && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deslop" agent skill from https://github.com/millionco/react-doctor/tree/main/.agents/skills/deslop into .agents/skills/deslop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deslop", 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 millionco/react-doctor --skill deslop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install millionco/react-doctor deslop --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/millionco/react-doctor.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/deslop .cursor/skills/deslop && 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 "deslop" agent skill from https://github.com/millionco/react-doctor/tree/main/.agents/skills/deslop into .cursor/skills/deslop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deslop", 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/millionco/react-doctor.git --path .agents/skills/deslop--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 millionco/react-doctor --skill deslop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install millionco/react-doctor deslop --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/millionco/react-doctor.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/deslop .gemini/skills/deslop && 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 "deslop" agent skill from https://github.com/millionco/react-doctor/tree/main/.agents/skills/deslop into .gemini/skills/deslop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deslop", 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 millionco/react-doctor deslopInstalls 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 millionco/react-doctor --skill deslop -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/millionco/react-doctor.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/deslop .github/skills/deslop && 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 "deslop" agent skill from https://github.com/millionco/react-doctor/tree/main/.agents/skills/deslop into .github/skills/deslop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deslop", 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 millionco/react-doctor --skill deslop -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install millionco/react-doctor deslop --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/millionco/react-doctor.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/deslop .opencode/skills/deslop && 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 "deslop" agent skill from https://github.com/millionco/react-doctor/tree/main/.agents/skills/deslop into .opencode/skills/deslop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deslop", 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.
deslopSimplify and refine recently modified code while preserving functionality.
Deslop is an agent skill from millionco/react-doctor. Simplify and refine recently modified code while preserving functionality. Use when asked to "deslop", "clean up code", "simplify code", or after making changes that could benefit from refinement.
Its SKILL.md is about 1.2k 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 Humanizing AI text, Code simplification and Refactoring. The repository describes itself as: Your agent writes bad React. This catches it.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 5b301c9. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
bunxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use bunx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Deslop loads about 1.2k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 611 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.
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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 611 words (~1,194 tokens).
“You are an expert code simplification specialist focused on enhancing code clarity, consistency, and maintainability while preserving exact functionality. Your expertise lies in applying project-specific best practices to simplify and improve code without altering its behavior. You prioritize readable, explicit…”
Just SKILL.md in .agents/skills/deslop of millionco/react-doctor.
Open the folder on GitHubat commit 5b301c9
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in millionco/react-doctor, which our catalogue first saw on October 7, 2026.
Deslop 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 |
|---|---|---|---|---|---|---|
| Deslop this skillmillionco/react-doctor | 15k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Clean AI Sloptmdgusya/engineering-discipline | 125 | — | ~1.9k | Automated safety check: Pass | None | |
| Omh AI Slop Cleanerrlaope/oh-my-hermes | 3.2k | — | ~2.7k | Automated safety check: Pass | MIT | |
| Ponytail Lazy Developer ModeDietrichGebert/ponytail | 160k | 1 repos | ~873 | Automated safety check: Pass | MIT | |
| PonytailDavidObando/gsharp | 565 | 7 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Code Simplification for ego-litecitrolabs/ego-lite | 17k | — | ~1.2k | Automated safety check: Pass | MIT |
tmdgusya/engineering-discipline
Corrective cleanup of AI-generated code — removes LLM-specific patterns while preserving behavior.
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.
DietrichGebert/ponytail
Makes the agent pick the laziest solution that works: skip unneeded work, reuse what exists, prefer the standard library and platform features, and keep diffs small.
DavidObando/gsharp
Forces the laziest solution that actually works, simplest, shortest, most minimal.
citrolabs/ego-lite
Finds and implements evidence-backed simplifications in the ego-lite repository, such as dead code, duplicated state and speculative abstractions, without hiding behavior changes.
star-history/star-history
Perform a refactor pass focused on simplicity after recent changes. Use when the user asks for a refactor/cleanup pass, simplification, or dead-code removal…
millionco/react-doctor
Compare React Doctor diagnostics for a GitHub pull request (PR) with Vercel Sandbox.
millionco/react-doctor
Audit React Doctor against ReactBench or similar diagnostic benchmark corpora for confirmed false positives, false negatives, taxonomy gaps, and verifier artifacts.
millionco/react-doctor
Use truffler to find similar or pre-existing JavaScript/TypeScript symbols before implementing new code, especially helpers, utilities, parsers, formatters, scanners, fuzzy matchers, and other…
millionco/react-doctor
Audit and fix Three.js and React Three Fiber apps for frame-loop performance, GPU memory leaks, scene-graph correctness, and visual defects like z-fighting, shadow acne, wrong color space, and…
millionco/react-doctor
Diagnose React runtime performance with React Doctor traces, live render outlines, Long Animation Frames, interaction timing, and component render evidence.
millionco/react-doctor
Think like a product manager before changing React Doctor's public surface — CLI commands/flags, the 0–100 score, config (doctor.config.), the JSON report schema, package APIs…
Categories
Simplify and refine recently modified code while preserving functionality. Deslop is an agent skill from millionco/react-doctor. Simplify and refine recently modified code while preserving functionality.
Deslop fits situations like: asked to deslop; after making changes that could benefit from refinement.
Run `npx skills add millionco/react-doctor --skill deslop -a claude-code`. Or copy the skill folder (.agents/skills/deslop in millionco/react-doctor) into .claude/skills/deslop in your project. Claude Code loads it when a task matches its description.
Run `npx skills add millionco/react-doctor --skill deslop -a codex`. Or copy the skill folder (.agents/skills/deslop in millionco/react-doctor) into .agents/skills/deslop in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add millionco/react-doctor --skill deslop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deslop, .gemini/skills/deslop, .github/skills/deslop and .opencode/skills/deslop in your project.
Going by SKILL.md and its folder, Deslop needs the command-line tools its instructions call (bunx).
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.
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.
Deslop has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Deslop: Clean AI Slop (tmdgusya/engineering-discipline, 125 stars), Omh AI Slop Cleaner (rlaope/oh-my-hermes, 3.2k stars), Ponytail Lazy Developer Mode (DietrichGebert/ponytail, 160k stars) and Ponytail (DavidObando/gsharp, 565 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
millionco (a GitHub organization) maintains it in millionco/react-doctor, which has 14,992 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 10, 2026.
Source: millionco/react-doctor on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.