no-ai-slop: a Claude Code skill by Peter Yang
For writers who want drafts that sound less machine-made while keeping their own voice. Skip it if you want an AI detector score or a full rewrite in a new style.
- Score
- 69of 100
- Rank
- #183of 239
- Installs
- 30.7Kon skills.sh
- Security
- Clear 3 scanners
- Updated
- 2026
- Context
- ~69tokens always
Install
npx skills add https://github.com/petergyang/no-ai-slop --skill no-ai-slop
Run it in your terminal. View the source
Using the Claude app rather than Claude Code? You can add a skill there too. How to add it in the app
What does no-ai-slop do?
no-ai-slop is a skill that edits a draft so it reads clearer and more human, or flags AI-sounding patterns without rewriting. In edit mode, the default, Claude notes your vocabulary, cadence and humor, makes the smallest change that fixes the problem, checks the result against an eval file, and returns the draft with a short What changed section. Detect mode names each pattern, quotes the line and suggests a fix, with no score and no guess about authorship. The rules cut listed filler words, binary contrasts, colon reveals, puffery, weasel attribution, recap endings and dash habits. If the audience or goal is unclear, it asks one question first.
When should you use no-ai-slop?
Use it when
- Your draft sounds generic or like a chatbot
- You want AI patterns flagged without rewrites
- You need sharper copy that still sounds like you
Skip it when
- You want a detector to judge who wrote a text
- You need new content written from nothing
Why it scores 69
Strongest on quality (100 of 100), weakest on adoption (52).
Is no-ai-slop safe to install?
Every scanner that checked it passed it. Scanners often miss what other scanners catch, and a skill can change after a scan. Read its source before you install it.
| Scanner | Result | Date |
|---|---|---|
| Gen Agent Trust Hub | Passed | Sep 15, 2026 |
| Socket | Passed | Sep 15, 2026 |
| Snyk | Low risk | Sep 15, 2026 |
Details
- Installs
- 30,718
- Repository stars
- 13,397
- Last repository change
- Tokens always loaded
- about 69
- Tokens when used
- about 2,636
- License
- MIT
- Data confidence
- High
Did it do the job for you?
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