Remove Watermark
v0.1.0Remove light-colored text watermarks from white-background document images (exam papers, scanned documents). No API key needed - pure local image processing....
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by@wxttt
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (remove watermarks from white-background document images) matches the included script and SKILL.md. Required dependencies (Pillow, numpy, optional scipy) are appropriate for image processing. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
Runtime instructions limit actions to: visually inspect an image via the agent's Read tool, run the bundled script to analyze/remove watermarks, and verify results. The SKILL.md does ask the agent to 'read' sample images (expected) and to retry up to 3 times with adjusted parameters. It does not instruct reading unrelated files, system state, or sending data to external endpoints.
Install Mechanism
This is instruction-only with an included Python script; there is no network installer or archive download. The SKILL.md recommends invoking via 'uv run --with Pillow --with numpy [--with scipy]' to ensure dependencies — that is a convenience for the runtime environment, not an external installer. No suspicious URLs or extraction steps are present.
Credentials
The skill requests no environment variables, secrets, or privileged config paths. The code only accesses image files/directories supplied by the user and writes cleaned outputs; this is proportionate to the stated function.
Persistence & Privilege
The skill is not set as always:true and does not request persistent system-wide privileges or modify other skills. It runs on demand and does not attempt to alter agent configuration or install persistent services.
Assessment
This skill appears internally consistent and purely local, but take these practical precautions before use: 1) Run it on copies of your images (it may whiten pixels or irreversibly alter text if parameters are aggressive). 2) Ensure Pillow/numpy (and scipy for full mode) are available in a controlled environment or virtualenv; the SKILL.md's 'uv run --with ...' is just a runtime helper and platform-specific. 3) The agent will 'read' images during the Visual Analysis step — avoid feeding sensitive or confidential documents if you don't want their contents exposed to the model. 4) Confirm output locations before running: the script creates a sibling directory like <input_dir>_clean by default, which may place files outside the input directory. 5) Legal/ethical: removing watermarks can violate copyrights or institutional rules (e.g., exam papers). Only use for legitimate purposes. If you need higher assurance, review the script locally (it's included) and run it in a sandboxed environment.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.