hannsxpeter

77 mods across 6 repositories, 29 stars between them.

authenticity-check

73

hannsxpeter/authenticity-check

Cursor rule Cursor

Score how authentically text reads as a real human author's work, flag AI-generated, AI-templated, or derivative spans, and report suspicious Unicode provenance carriers. Use when the user asks if text is authentic, reads like AI, sounds like them, or contains a hidden AI watermark or invisible Unicode. Apply even…

2 17d ago A 101 tokens original MIT

hannsxpeter/authenticity-check

Instructions file GitHub Copilot

Instructions for hannsxpeter/authenticity-check: This repository is the authenticity-check skill: pure-prompt instructions that score how authentically a piece of text reads as the work of a real human author and flag the spans that read as AI-generated, AI-templated, or generically derivative, plus suspicious Unicode…

2 17d ago A 610 tokens original MIT

hannsxpeter/authenticity-check

Instructions file CodexOpenCode

Instructions for hannsxpeter/authenticity-check, covering authenticity-check (agent instructions), when to apply this skill, how to run it, hard rule (diagnostic only) and scope.

2 17d ago A 935 tokens original MIT

hannsxpeter/authenticity-check

Instructions file Gemini CLI

Instructions for hannsxpeter/authenticity-check: This repository is the authenticity-check skill: pure-prompt instructions that score how authentically a piece of text reads as the work of a real human author and flag the spans that read as AI-generated, AI-templated, or generically derivative, plus suspicious Unicode…

2 17d ago A 608 tokens original MIT

authenticity-check

77

hannsxpeter/authenticity-check

Skill Claude CodeCodex

Score how authentically text reads as a real human author's work, flag spans that read as AI-generated, AI-templated, or generically derivative, and run a separate read-only scan for suspicious Unicode provenance carriers. Return an authenticity band, a 0-100 score, provenance signals, and span-level reasons. Use when…

2 17d ago A 185 tokens original MIT