watermarks-remover: Remove multi-vendor AI provenance traces: Unicode text sanitization, statistical rewriting techniques

by Leutenegger · Claude Skill · ★ 128

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

claudeclaude-codeclaude-skillscodexcodex-clicodex-desktopcodex-plugincodex-skillcodex-skillsgrok

Quick Facts

Stars128
Forks17
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score57/100
Open Issues4
Last Updated2026-08-19
Created2026-08-19
Platformsclaude-code, cli, codex, python
Est. Tokens~13k

About watermarks-remover

Remove multi-vendor AI provenance traces: Unicode text sanitization, statistical rewriting techniques, and C2PA/metadata stripping from PNG/JPEG/SVG/PDF/DOCX/HTML/MD files

Compatible Skills

These tools work well together with watermarks-remover for enhanced workflows:

  • codex-switch — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)

watermarks-remover alternative? Top 6 similar tools

Looking for a watermarks-remover alternative? If you're comparing watermarks-remover with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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