by guillaumemeyer · Agent Tool · ★ 17.2k
watermarks-remover Agent skill + stdlib Python scripts to strip multi-vendor AI provenance marks from text and files — for privacy and hygiene on content you own. Vendors / ecosystems (class-level): Claude, Gemini / SynthID-Text, OpenAI provenance surfaces, open-LLM Kirchenbauer-style marks. Latest release: v0.2.0 Skill path: [](skills/remove-a
| Stars | 17,175 |
| Forks | 1,975 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68.1018685820924/100 |
| Open Issues | 17 |
| Last Updated | 2026-08-23 |
| Created | 2026-08-11 |
| Platforms | claude-code, gemini, python |
| Est. Tokens | ~16k |
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watermarks-remover is Strip multi-vendor AI provenance marks: Unicode text hygiene, statistical rewrite hooks, and C2PA/metadata from PNG/JPEG/SVG/PDF/DOCX/HTML/MD. It is categorized as a Agent Tool with 17.2k GitHub stars.
watermarks-remover is primarily written in Python. It covers topics such as agent-skill, ai, anthropic.
You can find installation instructions and usage details in the watermarks-remover GitHub repository at github.com/guillaumemeyer/watermarks-remover. The project has 17.2k stars and 1975 forks, indicating an active community.
watermarks-remover is released under the MIT license, making it free to use and modify according to the license terms.