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remove-ai-marks

guillaumemeyer/…-remover

Remove multi-vendor AI provenance marks: invisible Unicode (Layer A), statistical text watermarks via rewrite (Layer B, always offer), and C2PA/EXIF/XMP/container metadata on PNG/JPEG/WebP/SVG/PDF/DOCX/ODT/HTML/MD/TEX. Covers Claude, Gemini/SynthID-class, OpenAI provenance, and open-LLM sampling marks. Use when the user asks to strip watermarks, remove C2PA/Content Credentials, clean AI metadata, remove invisible Unicode, anti-detect clean AI output, or runs /remove-ai-marks (aliases: /remove-claude-marks).

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安装命令

npx skills add https://github.com/guillaumemeyer/watermarks-remover --skill remove-ai-marks

SKILL.md

Remove AI marks

Multi-vendor anti-detection hygiene for text (Unicode + statistical rewrite) and files (C2PA / AI metadata across common containers).

Read if needed:

  • references/mark-classes.md — Unicode / sampling / C2PA / containers
  • references/vendor-notes.md — Claude, Gemini/SynthID, OpenAI, open-LLM
  • references/removal-matrix.md — which layer when
  • references/ethics.md — intended use
  • references/how-claude-marks.md — Anthropic-specific detail
  • references/markdiffusion.md — optional MarkDiffusion image harness (schemes, honesty caveats)

This skill is a thin client. All deterministic cleaning machinery runs in a separate HTTP service (this repo's service/), so the agent host needs no Python, venvs, or cleaning tools. Call the service with curl; never run cleaning scripts directly.

Service access