fuck-slop

Detects and rewrites AI-writing patterns in text using regex catalogs and genre-specific register checks.

1|Updated Jun 2, 2026
One-click install
npx skills add https://github.com/ZimriJahdai/HaircutFiveFriends-Full --skill fuck-slop-zimrijahdai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fuck-slop
Source: https://github.com/ZimriJahdai/HaircutFiveFriends-Full/tree/main/.claude/.agents/skills/fuck-slop
Command: npx skills add https://github.com/ZimriJahdai/HaircutFiveFriends-Full --skill fuck-slop-zimrijahdai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? AI-generated and AI-assisted text carries recognizable statistical fingerprints — negative parallelism ("not X but Y"), em-dash overuse, rule-of-three lists, puffery vocabulary, and uniform sentence cadence — that make prose read as generic and machine-written. This Skill mechanically detects those tells and rewrites the text into its target genre without reintroducing the same patterns. ## Core Features & Use Cases - Mechanical tell detection: Runs a catalog of grep-ready regex patterns against the text to find negative parallelism, inflated vocabulary, hedging, false ranges, and formatting tells, plus structural checks for cadence and skeleton structure. - Meaning-based rewriting with verify loop: Rewrites each finding by asserting the underlying claim rather than paraphrasing the pattern, then re-scans the rewrite until zero pattern hits remain (capped at 4 passes). - Genre register profiles: Adjusts output for academic articles, tweets, reddit posts, LinkedIn, email, blogs, marketing copy, and technical docs using per-genre fatal-tell lists. - Use Case: Before publishing an agent-drafted blog post, run the scan to surface 12 findings (3 negative parallelisms, 5 puffery words, 4 cadence issues), receive a diagnosis table, then get a rewritten draft that passed two verification loops with a change log. ## Quick Start De-slop this draft and rewrite it as a reddit post, showing me the diagnosis table before and after the rewrite.

Frequently Asked Questions about fuck-slop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I remove AI writing patterns from a draft?

Run a mechanical scan using regex patterns targeting negative parallelism, puffery vocabulary, hedging phrases, and false ranges, then rewrite each finding by asserting its underlying claim. Re-scan the rewritten text and repeat until a pass produces zero pattern hits.

What are the most common AI writing tells to detect?

The highest-priority tell is negative parallelism ("not X but Y" and variants like "less about X than Y"). Other strong signals include uniform sentence length, em-dash density above one per 150 words, rule-of-three lists, and words like delve, tapestry, seamless, and pivotal.

Can I use grep to detect AI writing patterns in a file?

Yes. The tell catalog is written as grep -Ein compatible extended regex patterns, so you can run them literally against a draft file. Sentence-length variance can be measured with tr, sed, and awk to flag uniform cadence.

Does removing AI tells work differently for reddit versus academic writing?

Yes, each genre has distinct fatal tells and goals. Reddit forbids bold, bullets, and "Hope this helps!", while academic writing keeps formality and long sentences but cuts significance puffery like "crucial implications" and "delve".

Why does rewritten text still sound like AI after one editing pass?

Rewriting reintroduces slop because the same model priors that created the patterns produce paraphrased versions of them, such as turning "not just X, it's Y" into "less about X than Y". A verify loop that re-scans every rewrite until clean is required.

When should I not use automated de-slopping on text?

Avoid overcorrection: do not add fake typos, forced slang, or manufactured voice, and do not strip em dashes entirely since humans use them. In technical docs, keep legitimate "Term: definition" bullet structures and never trade precision for personality.