fuck-slop

F*ck Slop Strip every mark of AI writing from a text and make it good in its genre. Not "make it pass a detector" — make it read like a specific person with a specific point wrote it for a specific audience. Why this is a loop, not a style guide The worst tells — above all the "not X but Y" family — are not vocabulary mistakes. They are emergent properties of how LLMs generate text: preference tuning rewards balanced, contrastive, comprehensive-sounding framing, so the contrast move is baked into the model's priors. Two consequences drive this skill's architecture: You cannot reliably see your own slop. The same priors that produce the pattern make it invisible on re-read. Detection must be mechanical — regex against a fixed catalog — never "does this look AI to me?" Rewriting reintroduces slop. Ask a model to remove "it's not just X, it's Y" and it produces "this is less about X than Y" — the same move in a wig. So every rewrite gets re-scanned, and the loop runs until the scan is clean. Workflow: Scan → Diagnose → Rewrite by meaning → Re-scan → (repeat) → Register check. Phase 0: Fix the target Before touching the text, establish: Show more Installs 570 Repository juliusbrussee/skills GitHub Stars 63 First Seen 12 days ago Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass