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ai-text-detection

Here are 56 public repositories matching this topic...

ru-text

Russian text quality for AI agents — neuroslop cleanup, typography, information style, editorial standards, UX writing, business correspondence. Scores text 0–10. 2,000+ linguistic atoms.

  • Updated Sep 25, 2026
  • Shell
humanizer-ru

Skill для AI-агентов (Claude Code, Codex, OpenClaw, Hermes): убирает 37 признаков AI-генерации из русского текста и проверяет, писала ли его нейросеть - канцелярит, штампы ChatGPT, артефакты копипаста | Russian AI-text humanizer & detector skill for coding agents

  • Updated Sep 23, 2026
  • Python

In today's rapidly evolving landscape, vale-ai-tells is a comprehensive, cutting-edge Vale style package that empowers writers to seamlessly delve into the rich tapestry of AI tells. It's not just a rule set; it's a game-changer that supercharges your prose, unlocks new possibilities, and really lands. Ship cleaner prose. Full stop. 🚀

  • Updated Sep 23, 2026
  • Shell

免费的本地 AI 率 / AIGC 检测工具箱:拖入论文(PDF/DOCX/TXT)即出整篇 AI 生成占比与段落级高亮,并给出 AI 降重闭环。全程离线推理、论文不上传。9 项方法:SimpleAI 中文 / GLTR 困惑度 / Fast-DetectGPT / DetectGPT / Binoculars。Free, private, offline AI-text detector for theses.

  • Updated Sep 25, 2026
  • Python

Claude Code plugin for scientific paper writing, source-traced review, and de-AI rewriting. 12 skills + 35 tools under one typed standard: non-waivable integrity blockers, zero-target L0 lexicon, ranked advisories, and explicit measurement states so missing calibration never reads as clean. Corpus-calibrated for ApJ/MNRAS/PRD/JCAP manuscripts.

  • Updated Sep 16, 2026
  • Python

A measuring instrument for text, not an AI detector. Estimates statistical signals of machine-generated language and reports them with measured false-positive rates, broken down by text category. Abstains when the evidence doesn't hold. Never asserts authorship. Runs entirely locally; Spanish calibrated first.

  • Updated Sep 15, 2026
  • Python

Transparent, explainable, local AI-generated-text detector: multi-signal (NLTK, GPT-2 perplexity, Binoculars cross-perplexity, calibrated ensemble) with a real evaluation harness — verdict, confidence, per-signal metrics, and reasoning, not one opaque score.

  • Updated Jul 14, 2026
  • Python

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