Updated today
by wiltodelta
remove-ai-watermarks
Remove visible and invisible AI watermarks from images and video, and AI provenance metadata from images, video, and audio. Python library, CLI, and agent skill for SynthID, C2PA, EXIF, IPTC, XMP, and common generative-AI marks.
6k GitHub stars (6,036)
- 3 skills (3 skills found in its SKILL.md files)
- 560 forks (560 forks)
- Today last update (Last updated today)
Install
Skills CLI
npx skills add wiltodelta/remove-ai-watermarks
Asks which skills and agents to install. Just one: npx skills add wiltodelta/remove-ai-watermarks --skill remove-ai-watermarks — add -g for every project.
Claude Code
git clone https://github.com/wiltodelta/remove-ai-watermarkscp -r "remove-ai-watermarks/skills/remove-ai-watermarks" ~/.claude/skills/
Copies the remove-ai-watermarks skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add wiltodelta/remove-ai-watermarks
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
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remove-ai-watermarks
Removes and identifies AI watermarks and provenance marks in images and video the user generated or edited. Covers Gemini sparkles, SynthID, Microsoft InvisMark, Meta Content Seal, C2PA, EXIF/XMP/IPTC metadata, and Sora/Veo/Seedance/Doubao/Dola/Hailuo/Vidu/Kling and Wan labels. Use when the user wants to strip or clean AI watermarks and generation labels, or asks whether a file was AI-generated o…
skills/remove-ai-watermarks/SKILL.md on GitHub (opens in a new tab) -
provider-oracles
Run hash-bound Google, OpenAI, Microsoft, or Meta watermark-oracle checks for this repository. Use for provider verification, multi-account Gemini checks, isolated Playwright checks, or recording oracle evidence.
.claude/skills/provider-oracles/SKILL.md on GitHub (opens in a new tab) -
signal-discovery
Discover missing AI provenance and watermark coverage in the remove-ai-watermarks library from fresh or historical corpora, then validate detection and removal parity. Use for corpus gap mining, periodic signal audits, new-provider discovery, or deciding whether old retained data must be replayed. Do not use for ordinary per-file identification or removal.
.claude/skills/signal-discovery/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.