Humanizer
Azure-Samples/interview-coach-agent-framework
Remove signs of AI-generated writing from text. An agent skill from Azure-Samples/interview-coach-agent-framework.
Comprehensive toolkit for detecting and eliminating "AI slop" - generic, low-quality AI-generated patterns in natural language, code, and design.
$ npx skills add rand/cc-polymath --skill anti-slop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rand/cc-polymath anti-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/rand/cc-polymath.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/anti-slop .claude/skills/anti-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 "anti-slop" agent skill from https://github.com/rand/cc-polymath/tree/main/skills/anti-slop into .claude/skills/anti-slop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anti-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/rand/cc-polymath/tree/main/skills/anti-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 rand/cc-polymath --skill anti-slop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rand/cc-polymath anti-slop --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rand/cc-polymath.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/anti-slop .agents/skills/anti-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 "anti-slop" agent skill from https://github.com/rand/cc-polymath/tree/main/skills/anti-slop into .agents/skills/anti-slop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anti-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 rand/cc-polymath --skill anti-slop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rand/cc-polymath anti-slop --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rand/cc-polymath.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/anti-slop .cursor/skills/anti-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 "anti-slop" agent skill from https://github.com/rand/cc-polymath/tree/main/skills/anti-slop into .cursor/skills/anti-slop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anti-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/rand/cc-polymath.git --path skills/anti-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 rand/cc-polymath --skill anti-slop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rand/cc-polymath anti-slop --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rand/cc-polymath.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/anti-slop .gemini/skills/anti-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 "anti-slop" agent skill from https://github.com/rand/cc-polymath/tree/main/skills/anti-slop into .gemini/skills/anti-slop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anti-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 rand/cc-polymath anti-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 rand/cc-polymath --skill anti-slop -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rand/cc-polymath.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/anti-slop .github/skills/anti-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 "anti-slop" agent skill from https://github.com/rand/cc-polymath/tree/main/skills/anti-slop into .github/skills/anti-slop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anti-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 rand/cc-polymath --skill anti-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 rand/cc-polymath anti-slop --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rand/cc-polymath.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/anti-slop .opencode/skills/anti-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 "anti-slop" agent skill from https://github.com/rand/cc-polymath/tree/main/skills/anti-slop into .opencode/skills/anti-slop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anti-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.
anti-slopComprehensive toolkit for detecting and eliminating "AI slop" - generic, low-quality AI-generated patterns in natural language, code, and design.
Anti Slop is an agent skill from rand/cc-polymath. Comprehensive toolkit for detecting and eliminating "AI slop" - generic, low-quality AI-generated patterns in natural language, code, and design. Use when reviewing or improving content quality, preventing generic AI patterns, cleaning up existing content, or enforcing quality standards in writing, code, or design work.
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `CLAUDE_MD_UPDATES.md`, `README.md` and `references/code-patterns.md`).
It sits in Writing & Content, covering Humanizing AI text. The repository describes itself as: Claude Code skills and workflows, optimized for context-efficiency and skill quality. Skills ranging from cloud infrastructure to design to advanced maths. The licence is MIT.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit baa2df1. 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.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Anti Slop loads about 2.9k tokens when it runs, and up to ~9.3k if it reads all its reference files. Until then it costs about 83 tokens; SKILL.md has 1,101 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); the scripts in this folder are not scanned.
The full file from rand/cc-polymath at commit baa2df1, republished under its MIT licence (© rand). 1,101 words, ~2,939 tokens.
.claude/skills/anti-slop/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Detect and eliminate generic AI-generated patterns ("slop") across natural language, code, and design.
AI slop refers to telltale patterns that signal low-quality, generic AI-generated content:
This skill helps identify and remove these patterns to create authentic, high-quality content.
Apply anti-slop techniques when:
For text files:
python scripts/detect_slop.py <file> [--verbose]This analyzes text and provides:
Manual detection: Read the appropriate reference file for detailed patterns:
references/text-patterns.md - Natural language slop patternsreferences/code-patterns.md - Programming slop patterns references/design-patterns.md - Visual/UX design slop patternsAutomated cleanup (text only):
# Preview changes
python scripts/clean_slop.py <file>
# Apply changes (creates backup)
python scripts/clean_slop.py <file> --save
# Aggressive mode (may slightly change meaning)
python scripts/clean_slop.py <file> --save --aggressiveManual cleanup: Apply strategies from the reference files based on detected patterns.
Remove immediately:
Simplify wordy phrases:
Replace buzzwords:
Be direct:
Be specific:
Be authentic:
Rename generic variables:
data → name what data it representsresult → name what the result containstemp → name what you're temporarily storingitem → name what kind of itemRemove obvious comments:
# Bad
# Create a user
user = User()
# Better - let code speak
user = User()Simplify over-engineered code:
Improve function names:
handleData() → what are you doing with data?processItems() → what processing specifically?manageUsers() → what management action?Clarity over cleverness:
Meaningful names:
Appropriate documentation:
Visual slop:
Layout slop:
Copy slop:
Content-first design:
Intentional choices:
Authentic voice:
Consult these comprehensive guides when working on specific domains:
text-patterns.md - Complete catalog of natural language slop patterns with detection rules and cleanup strategies
code-patterns.md - Programming antipatterns across languages with refactoring guidance
design-patterns.md - Visual and UX design slop patterns with improvement strategies
Each reference includes:
Analyzes text files for AI slop patterns.
Usage:
python scripts/detect_slop.py <file> [--verbose]Output:
Scoring:
Automatically removes common slop patterns from text files.
Usage:
# Preview changes
python scripts/clean_slop.py <file>
# Save changes (creates backup)
python scripts/clean_slop.py <file> --save
# Save to different file
python scripts/clean_slop.py <file> --output clean_file.txt
# Aggressive mode
python scripts/clean_slop.py <file> --save --aggressiveWhat it cleans:
Safety:
.backup file when overwritingWhen creating content:
Not all patterns are always slop:
Acceptable contexts:
Always consider:
The scripts are tools, not replacements for judgment:
# Check files before committing
python scripts/detect_slop.py src/documentation.md --verbose
# Clean up automatically
python scripts/clean_slop.py src/documentation.md --saveCreate project-specific thresholds:
Scripts only handle text:
Context sensitivity:
Language coverage:
# User asks: "Can you review this article for AI slop?"
1. Read references/text-patterns.md for patterns to watch
2. Run: python scripts/detect_slop.py article.txt --verbose
3. Review findings and apply manual cleanup
4. Optionally run: python scripts/clean_slop.py article.txt --save
5. Do final manual review of cleaned content# User asks: "Help me clean up generic AI patterns in my code"
1. Read references/code-patterns.md
2. Review code files manually for patterns
3. Create list of generic names to rename
4. Refactor following principles in code-patterns.md
5. Remove obvious comments and over-abstractions# User asks: "Does this design look too generic?"
1. Read references/design-patterns.md
2. Check against high-confidence slop indicators
3. Identify specific issues (gradients, layouts, copy)
4. Provide specific recommendations from design-patterns.md
5. Suggest concrete alternatives# User asks: "Help me create quality standards for our team"
1. Review all three reference files
2. Identify patterns most relevant to user's domain
3. Create project-specific guidelines
4. Set up detection scripts in development pipeline
5. Document acceptable exceptionsFor text cleanup:
For code cleanup:
For design cleanup:
General principles:
© rand, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files (scripts, references) in skills/anti-slop of rand/cc-polymath.
Open the folder on GitHubat commit baa2df1
Anti 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 |
|---|---|---|---|---|---|---|
| Anti Slop this skillrand/cc-polymath | 181 | — | ~2.9k | Automated safety check: Pass | MIT | |
| HumanizerAzure-Samples/interview-coach-agent-framework | 173 | 38 repos | ~5.8k | Automated safety check: Pass | MIT | |
| Avoid AI Writingconorbronsdon/avoid-ai-writing | 4.9k | 3 repos | ~8.1k | Automated safety check: Pass | MIT | |
| User-Facing Text Cleanupguillaumemeyer/watermarks-remover | 24k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Install Anti Sloptrycompai/crm | 11k | 1 repos | ~881 | Automated safety check: Pass | MIT | |
| Stop SlopXe/site | 732 | 8 repos | ~423 | Automated safety check: Pass | MIT |
Azure-Samples/interview-coach-agent-framework
Remove signs of AI-generated writing from text. An agent skill from Azure-Samples/interview-coach-agent-framework.
conorbronsdon/avoid-ai-writing
Audit and rewrite content to remove AI writing patterns ("AI-isms").
guillaumemeyer/watermarks-remover
Audits prose for invisible Unicode characters and rewrites it while keeping facts, citations, code and required disclosures unchanged and the writer's voice intact.
trycompai/crm
Install and configure the anti-slop Oxlint plugin in a local TypeScript or JavaScript repository.
Xe/site
Remove AI writing patterns from prose. An agent skill from Xe/site.
op7418/Humanizer-zh
Edits Chinese articles, comments and documents to remove filler, repetition and template phrasing while keeping the facts, the level of certainty and the author's voice.
rand/cc-polymath
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Categories
Comprehensive toolkit for detecting and eliminating "AI slop" - generic, low-quality AI-generated patterns in natural language, code, and design. Anti Slop is an agent skill from rand/cc-polymath. Comprehensive toolkit for detecting and eliminating "AI slop" - generic, low-quality AI-generated patterns in natural language, code, and design.
Anti Slop fits situations like: improving content quality; preventing generic AI patterns; cleaning up existing content; enforcing quality standards in writing.
Run `npx skills add rand/cc-polymath --skill anti-slop -a claude-code`. Or copy the skill folder (skills/anti-slop in rand/cc-polymath) into .claude/skills/anti-slop in your project. Claude Code loads it when a task matches its description.
Run `npx skills add rand/cc-polymath --skill anti-slop -a codex`. Or copy the skill folder (skills/anti-slop in rand/cc-polymath) into .agents/skills/anti-slop 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 rand/cc-polymath --skill anti-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/anti-slop, .gemini/skills/anti-slop, .github/skills/anti-slop and .opencode/skills/anti-slop in your project.
Going by SKILL.md and its folder, Anti Slop needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Anti Slop is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Anti Slop: 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.
rand (a GitHub user) maintains it in rand/cc-polymath, which has 181 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on February 28, 2026.
Source: rand/cc-polymath on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.