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Install in OpenClaw
/install fusae-watermark-remover
Description
Automatically detects and removes watermarks from images using AI-powered inpainting. Use when user asks to "remove watermark", "clean image", or "去水印".
README (SKILL.md)
Watermark Remover
Automatically detects watermarks in image corners and removes them using LaMa AI model.
Installation
This skill requires the watermark-remover Python package. Install it first:
# Install from PyPI (when published)
pip install watermark-remover
# Or install from source
git clone https://github.com/yourusername/watermark-remover.git
cd watermark-remover
pip install -e .
Dependencies: Python 3.9+, opencv-python, numpy, Pillow, iopaint
Script Directory
Scripts in scripts/ subdirectory. Replace ${SKILL_DIR} with this SKILL.md's directory path.
| Script | Purpose |
|---|---|
scripts/main.py |
Watermark removal CLI wrapper |
Usage
python ${SKILL_DIR}/scripts/main.py \x3Cinput> [options]
Options
| Option | Description | Default |
|---|---|---|
\x3Cinput> |
Image file or directory | Required |
--output |
Output path | \x3Cinput>/no_watermark |
--corner-ratio |
Corner area ratio (0-1) | 0.15 |
--threshold |
Detection sensitivity (lower = more sensitive) | 30 |
--padding |
Mask dilation pixels | 10 |
--preview |
Generate mask preview only | false |
--no-lama |
Use OpenCV instead of LaMa | false |
Examples
# Single image
python ${SKILL_DIR}/scripts/main.py image.jpg
# Directory with custom output
python ${SKILL_DIR}/scripts/main.py ./photos/ --output ./cleaned/
# Preview detection (shows red marks on watermarks)
python ${SKILL_DIR}/scripts/main.py ./photos/ --preview
# Adjust detection sensitivity
python ${SKILL_DIR}/scripts/main.py image.jpg --corner-ratio 0.2 --threshold 20
# Use OpenCV inpaint (faster but lower quality)
python ${SKILL_DIR}/scripts/main.py image.jpg --no-lama
How It Works
- Scans image corners (default 15% area)
- Detects watermarks using edge detection + high-frequency analysis
- Generates precise mask
- Removes watermark using LaMa AI model (auto-downloads on first run)
- Falls back to OpenCV inpaint if LaMa fails
Supported Formats
JPG, JPEG, PNG, BMP, TIFF, WEBP
Usage Guidance
This skill appears to do what it says, but it depends on an external 'watermark-remover' Python package that is not provided or verified in the registry (the docs use a placeholder GitHub URL). Installing that package (from PyPI or a git repo) can run arbitrary code and will auto-download large ML model files at runtime. Before installing or using: (1) verify the package source — prefer an official GitHub repo or PyPI page and inspect its code; (2) inspect the 'iopaint' and 'watermark-remover' packages for malicious behaviors or unexpected network access; (3) run installation and execution in an isolated environment (VM/container) if you must test it; (4) if you cannot verify the upstream project, do not install system-wide; (5) remember removing watermarks can violate copyright/terms — ensure you have the right to modify images. If you provide the official package URL or the upstream repo, a re-evaluation could raise confidence.
Capability Assessment
Purpose & Capability
The name/description match the behavior: the skill detects/removes watermarks and uses LaMa/inpainting. Requiring opencv/numpy/Pillow/iopaint is plausible. However, the skill's code is only a thin wrapper that invokes an external 'watermark-remover' CLI rather than implementing in-place functionality, and the SKILL.md points to a placeholder GitHub repo (https://github.com/yourusername/...) and no homepage/source is provided in registry metadata — this is an unexpected gap between the shipped artifact and its external dependency.
Instruction Scope
Runtime instructions and scripts only check for an installed 'watermark-remover' binary and then run it. They do not request unrelated files or environment variables. Caveat: running the external CLI and its auto-download of the LaMa model means the skill will perform network activity and execute code outside the skill's bundle at runtime.
Install Mechanism
No install spec is declared in the registry even though the skill requires installing an external Python package (pip install watermark-remover or git clone). Installing a PyPI package or code from an arbitrary GitHub repo can execute arbitrary code on the host. The repo URL in docs is a placeholder (yourusername) and there's no verified source/homepage, which increases supply-chain risk. The listed dependency 'iopaint' is uncommon and should be vetted before installation.
Credentials
The skill requests no environment variables, credentials, or config paths. That is proportionate to the stated purpose.
Persistence & Privilege
always is false and no special privileges are requested. The wrapper will execute an installed CLI on invocation; autonomous invocation is allowed by default but not combined here with broad credential or persistence requests.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install fusae-watermark-remover - After installation, invoke the skill by name or use
/fusae-watermark-remover - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of Watermark Remover skill.
- Automatically detects and removes watermarks in image corners using AI-powered inpainting (LaMa), with fallback to OpenCV.
- Command-line interface provided via `scripts/main.py`, supporting multiple options for detection sensitivity, masking, and output locations.
- Includes a preview mode to visualize detected watermarks.
- Supports common image formats: JPG, PNG, BMP, TIFF, and WEBP.
- Recommended for use when asked to “remove watermark”, “clean image”, or “去水印”.
Metadata
Frequently Asked Questions
What is Watermark Remover?
Automatically detects and removes watermarks from images using AI-powered inpainting. Use when user asks to "remove watermark", "clean image", or "去水印". It is an AI Agent Skill for Claude Code / OpenClaw, with 90 downloads so far.
How do I install Watermark Remover?
Run "/install fusae-watermark-remover" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Watermark Remover free?
Yes, Watermark Remover is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Watermark Remover support?
Watermark Remover is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Watermark Remover?
It is built and maintained by fusae (@fusae); the current version is v0.1.0.
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