Open-source pipeline for rewriting AI-generated text into natural human prose. Need it in your app? Try the Lynote Humanizer API → lynote.ai/ai-humanizer-api
De-AI writing skill for any Agent Skills-compatible agent (77+ via the Skills CLI), with native plugins for Claude Code, Codex, Grok Build, and Antigravity. Narrative-architecture repair for fiction, venue-matched rules for professional prose. Based on StoryScope (arXiv:2604.03136).
A local detector for AI-writing patterns. Scores every prose file your agent saves. Python standard library only, no network, no model.
An evidence-bound academic revision skill for social science research. It reduces defensive prose without weakening scholarly caution, foregrounds core contributions, compresses repetitive qualifications and process narration, and preserves claim ceilings, evidence status, scope, boundaries, and rival explanations for auditable, traceable revision.
Model-agnostic Chinese and English academic editing for the latest models across Agent platforms. Reduce formulaic prose while preserving evidence and author voice.
Not Ai isn’t just about bypassing AI detectors. It puts good writing first, creating clear, honest prose shaped by human writing standards. It’s perfect for college and school projects, LinkedIn/X posts, emails, factual articles, personal essays, social media posts, and technical documentation, especially GitHub READMEs
Open-source Agent Skill that finds and removes AI slop from your writing
An evidence-based AI writing skill for clearer, more human mathematical prose, built from stylometry and reference-style analysis
[EMNLP main 2026] Provenance Before Prose: Claim-Locked Reporting for Statistical Text Generation
Find and repair substance defects in AI-assisted prose, code, docs, and agent output. Reports defects, never authorship. Structural tests over model judgement, because LLM judges agree with human slop labels at chance.
Jev 决策模型驱动的 UI 自动化测试框架:不生成「下一步做什么」的文字,而是在候选元素里直接打分;一句话写用例,pytest 执行,Allure 出报告,每个操作决策中位 458 ms(UI test automation driven by the Jev decision model — scored decisions, not generated prose; ~458 ms per decision)
cve-2026-86060 PoC
For those who struggle with how Claude speaks to them. No more essays. No more slogans, metaphors, "it's not X, it's Y". This plugin makes Claude speak normally.
Author-in-the-loop toolkit for turning mature CFD evidence into defensible research directions, reproducible figures, and traceable scientific prose.
Claude Code plugin that stops Claude writing like an AI. 29 researched patterns, loaded every session and checked on every file write.
🗓️ The hardest life-admin benchmark for agents — lawsuits, escrow shortfalls, apartment hunts, exams. 20 long-horizon tasks × 20–30 stages across 10 domains and 21 services, scored by 1247 atomic checks that read backend state, not prose. Bilingual zh/en. Current 20 tasks are relatively easy.
Write prose clean of AI texture, or audit a draft through two gates: source fidelity and taste. An agent skill.