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trending / petergyang/no-ai-slop

petergyang/no-ai-slop +1,819 ★ this week + Follow

AI analysis grounded in the code graph — computed facts, not vibes · 2026-09-23T03:03:03Z

What it actually is

This is a "skill" package — a set of instructions (SKILL.md) and evaluation rules (eval.md) — designed to be loaded into an AI coding/writing harness (Claude Code, Codex, ChatGPT) rather than a standalone application. It targets writers who use AI to edit drafts, detecting and correcting 20+ specific stylistic tics (binary contrasts, throat-clearing openers, colon reveals, weasel attribution, etc.) so that AI-edited text doesn't read as generic "AI slop." The actual codebase is minimal: a single Python module, scripts/build_plugin.py, which packages the skill files into a distributable plugin ZIP.

Why it's growing

The star growth (1,668 in a week, reaching 9,227 total) is not explained by code complexity — the repo has just one functional script with five symbols (parse_args, validate_source, build_plugin, validate_build, main). The growth more plausibly tracks the README's clear, concrete value proposition (a named checklist of 20+ patterns, an install-by-paste workflow for Claude Code/Codex/ChatGPT) and its availability in the public ChatGPT plugin directory via tagged releases. Five patch releases in under a week (v1.0.2 through v1.0.6, all between 2026-07-27 and 2026-08-01) suggest active iteration and distribution polish, which likely aided visibility and adoption, though the graph facts don't directly confirm what drove the spike.

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What changed recently, how it's actually built (from the code graph), and whether you should care. Free account — no card, no spam.