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remove-ai-marks

An AI agent skill from guillaumemeyer/watermarks-remover, scored 65 out of 100 by code.

65/ 100C

Code score by group

  • Spec20/20
  • Description8/20
  • Procedure12/15
  • Done criteria4/15
  • Resources9/10
  • Scripts2/8
  • Safety7/7
  • Upkeep3/5

It loses the most points in Description (12), the group that checks whether the description says what the skill does and when to use it.

What the author says it does

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).

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
guillaumemeyer/watermarks-remover
Folder
skills/remove-ai-marks
License
MIT
GitHub stars
27,206
SKILL.md lines
380
Other files
6

Add remove-ai-marks to your agent

npx skills add guillaumemeyer/watermarks-remover --skill remove-ai-marks

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

More skills from guillaumemeyer/watermarks-remover

  1. clean-user-facing-text

    Clean and finalize authorized natural-language text intended for readers by auditing suspicious invisible Unicode and rewriting prose while preserving facts, meaning, and the writ…

    76B

All skills in guillaumemeyer/watermarks-remover

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.