ClawHub

Gemini Watermark Remover

v1.1.2

Remove visible Gemini AI watermarks from images via reverse alpha blending. Use for cleaning Gemini-generated images, removing the star/sparkle logo watermark.

⭐ 0· 425·3 current·3 all-time
byFZLR@fzlra
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
Name/description claim removing Gemini visible watermarks; included script and README implement a reverse alpha-blending algorithm with embedded watermark templates. No unrelated binaries, env vars, or external services are requested.
✓
Instruction Scope
SKILL.md instructs only local usage (pip install Pillow/numpy and run scripts/remove_watermark.py). It does not direct reading unrelated system files, sending data to remote endpoints, or accessing credentials. The script embeds templates and operates on local images.
✓
Install Mechanism
No install spec; this is instruction-only with a bundled Python script and requirements.txt. Dependency installation via pip is reasonable and expected for a Python image-processing tool. No remote downloads or nonstandard installers are used.
✓
Credentials
No environment variables, credentials, or config paths are required. The requested dependencies (Pillow, NumPy) are appropriate for image processing.
✓
Persistence & Privilege
Skill does not request always:true or modify system/other-skill configs. Default invocation settings are used; the skill is user-invocable and not forced into all agent runs.
Scan Findings in Context
[base64-block] expected: SKILL.md and the script embed watermark templates as Base64 PNGs; the scanner's base64-block hit is expected for embedded image assets and not necessarily malicious.
Assessment
This skill appears coherent and local-only, but before running any third-party script: (1) inspect the full scripts/remove_watermark.py for any unexpected network calls or filesystem operations (the provided excerpt looks local-only), (2) run in an isolated environment or VM if you are unsure, (3) confirm you have the legal right to remove watermarks for the images you process, and (4) install dependencies into a virtualenv to avoid affecting system Python packages.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

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