remove-ai-marks

remove-ai-marks is a Photo editing & retouching skill for AI agents, published by ShadowAqueduct in the watermark-remover repository on GitHub. Skillspace rates remove-ai-marks F (53/100) and it passed the safety scan; the rating is based on static analysis only.

Strip multi-vendor AI provenance from owned files: hidden Unicode (Layer A), statistical sampling watermarks via rewrite (Layer B — always offer), and C2PA/EXIF/XMP/container metadata on PNG/JPEG/WebP/SVG/PDF/DOCX/ODT/HTML/MD. Covers Claude, Gemini/SynthID-class, OpenAI provenance surfaces, and open-LLM sampling marks. Use when the user wants watermark removal, C2PA/Content Credentials stripping, AI metadata cleanup, invisible Unicode hygiene, anti-detect cleaning of AI output, /remove-ai-marks, or /remove-claude-marks.

Grade
F
Quality
53 / 100
Safety
Passed
GitHub stars
841

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubShadowAqueduct/watermark-remover

Our review

Architecture
80 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Portable: works in any project. General text and file AI-marker hygiene with bundled references

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Better-rated skills in Photo editing & retouching

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