by guillaumemeyer · AI 工具 · ★ 24.0k
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: (migration: formerly ; slash alias still documented) Install (agent skill) Invoke with or ask to “strip AI watermarks / C2PA / Claude marks / SynthID-class text.” Optional system tools (auto-used when present): Core scripts need Python 3.10+ stdlib only.
| Stars | 24,029 |
| Forks | 2,758 |
| Language | Python |
| Category | AI 工具 |
| License | MIT |
| Quality Score | 69.5326769865272/100 |
| Open Issues | 25 |
| Last Updated | 2026-10-14 |
| Created | 2026-08-11 |
| Platforms | claude-code, gemini, python |
| Est. Tokens | ~16k |
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watermarks-remover is A privacy-first app that strips AI watermarks from content you own.. It is categorized as a AI 工具 with 24.0k 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 24.0k stars and 2758 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.