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ai-generated-text

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Live crowdsourced research platform measuring how well humans detect AI-generated news - dual-axis authenticity judgments, gamified challenge mode & shareable score cards. The human-perception half of the RogueGPT pipeline.

  • Updated Sep 30, 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 Oct 17, 2026
  • Python

A jury of AI-text detectors. Open workbench: run Stylometry, LLM-Perplexity, Fast-DetectGPT, Binoculars, BYOM classifiers and your own plugins side by side - every raw score shown with its direction, honest calibration on your own data. BYOK, runs locally, MIT.

  • Updated Oct 23, 2026
  • Python

Remove AI watermarks, invisible Unicode, and C2PA/EXIF/XMP provenance metadata from text and files (PDF, DOCX, ODT, PNG, JPEG, SVG, HTML, Markdown). Python, no dependencies for text cleaning." This is slightly updated from before to reflect the new DOCX/ODT/PDF support

  • Updated Aug 16, 2026
  • Python

Python 3.14 library + CLI that sends a text, unchanged, to existing AI-text detector APIs (GPTZero, Pangram, Sapling, Copyleaks, Winston, Originality, Hive, ZeroGPT) and combines their answers into a transparent HUMAN / AI / NO_VERDICT verdict with per-provider evidence. No own detector; an indicator, not proof. GPLv3.

  • Updated Oct 21, 2026
  • Python

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