# petergyang/no-ai-slop > A skill for coding agents (ChatGPT, Claude Code, Codex) that detects and removes 20+ AI slop patterns from writing while preserving the author's voice. It can also flag such patterns and generate them for satire. - Magnitude: 2.2 out of 10 — Steady - Stars: 12,932 total · +9 stars measured 2026-10-29, 00:07–04:21 UTC, ≈ 41 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Python · License: MIT · Created: 2026-07-07 · Last push: 2026-09-02 - GitHub: https://github.com/petergyang/no-ai-slop · Homepage: https://creatoreconomy.so/p/use-my-no-ai-slop-skill-to-remove-20-ai-slop-patterns · Page: https://gitnova.dev/en/r/petergyang/no-ai-slop ## Useful for - Edit a draft article to strip AI clichés while keeping your voice - Check finished text for 20+ AI slop patterns - Generate a satirical AI slop post for fun ## Why it’s here - Star-counter measurements on 2026-10-29 (UTC), 00:07–04:21: 12923 → 12932 stars (+9). This is the change over that interval. - Estimated end-of-day forecast: about +41 stars, using observed gains and the previous day. - Top new repositories in the last 4 months: #43. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 909 - Issues and pull requests: 56 - Watchers: 37 - Average over the last week: 39 per day - Usual pace: 56 per day - Stars in the last hour (measured): 4 - Latest release: v1.0.6 (2026-08-01) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-30 … 2026-10-29: 62, 72, 79, 64, 65, 55, 61, 43, 51, 43, 38, 46, 58, 60, 67, 38, 42, 49, 51, 52, 41, 34, 48, 33, 45, 48, 28, 44, 37, 9 ## Magnitude by day, last 14 days 10-16 2.3, 10-17 2.5, 10-18 2.5, 10-19 2.5, 10-20 2.5, 10-21 2.2, 10-22 2.2, 10-23 2.3, 10-24 2.3, 10-25 2.5, 10-26 2.5, 10-27 2.2, 10-28 2.4, 10-29 2.2 ## Spotted in now - Top new repositories in the last 4 months: #43 ## More in this category 1. **HKUDS/DeepTutor** — 8.8 · Breakout · AI agents · Python · +415 stars measured 2026-10-29, 00:02–04:17 UTC, ≈ 1,933 by evening A lifelong personalized AI tutor with long-term memory: builds learning paths, reads documents and books, and runs practice and assessments via a multi-agent system and RAG. Full card: https://gitnova.dev/en/r/HKUDS/DeepTutor.md 2. **elayadesign/ai-design-skills** — 7.9 · Breakout · AI agents · +228 stars measured 2026-10-29, 00:02–04:17 UTC, ≈ 1,299 by evening A collection of markdown-based design skills for AI coding tools like Claude Code, Cursor, Codex and Windsurf, covering landing page design and turning static designs into animated showcases. Full card: https://gitnova.dev/en/r/elayadesign/ai-design-skills.md 3. **anonnerdfrenzy/survival-llm** — 7.7 · Early signal · AI agents · Python · +47 stars measured 2026-10-29, 00:02–04:17 UTC, ≈ 358 by evening A local offline LLM assistant with a library of ~1.5M survival, medical and how-to articles; every answer cites the exact source passage. Full card: https://gitnova.dev/en/r/anonnerdfrenzy/survival-llm.md 4. **unclebob/ub-mode** — 7.6 · Breakout · AI agents · +191 stars measured 2026-10-29, 00:02–04:17 UTC, ≈ 1,098 by evening An agent skill that enforces disciplined software engineering practices when writing or changing code: TDD, root-cause fixes, behavior testing, and quality gates via mutation testing. Installed as SKILL.md into the agent's skills directory. Full card: https://gitnova.dev/en/r/unclebob/ub-mode.md 5. **pbakaus/impeccable** — 7.6 · Breakout · AI agents · Rust · +551 stars measured 2026-10-29, 00:02–04:17 UTC, ≈ 2,466 by evening A set of commands and detector rules for AI coding agents that helps them produce better frontend design instead of generic templates. Installs as a skill into Claude Code, Cursor, Codex and other harnesses. Full card: https://gitnova.dev/en/r/pbakaus/impeccable.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-29 04:27 UTC, updated every 30 minutes.