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Gemini Watermark Remover

Checked
rookie-ricardo·vlatest·ai-ml·MIT

Removes Gemini watermarks from images automatically, letting you use your creations freely and without restrictions.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add rookie-ricardo/erduo-skills --skill gemini-watermark-remover -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

rookie-ricardo

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned rookie-ricardo/erduo-skills at 1fb6ec5df7.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
1fb6ec5df7
Manifest
skills/gemini-watermark-remover/SKILL.md
Scanned
4 files, 190 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The gemini-watermark-remover skill enables users to detect and remove watermarks from images, particularly those generated or modified by AI models like Gemini. It uses advanced image processing techniques to identify and eliminate visible watermark elements while preserving the integrity of the original content.

When to use it

  • You need to clean up AI-generated images for professional use without visible branding.
  • You want to repurpose content from sources that include watermarks but require clear visuals.
  • You're preparing media for publication or sharing where watermarks may interfere with aesthetics or clarity.

Key capabilities

  • Detection of common watermark patterns in AI-generated imagery
  • Removal of visible text and graphical watermarks
  • Preservation of image quality after removal

Example prompts

  • "Remove the watermark from this Gemini-generated image."
  • "Clean up this AI image so it's watermark-free for my presentation."
  • "Eliminate any branding elements from the provided picture."

Tips & gotchas

  • The effectiveness may vary depending on the complexity and placement of the watermark.
  • Some watermarks are embedded in the image data, making them harder to remove without affecting quality.