Image Reader

v1.0.0

Extract text from images using OCR (Optical Character Recognition). Use this skill when you need to read text content from images, screenshots, photos, or an...

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Purpose & Capability
Name/description match the included code and SKILL.md. The script performs image OCR using RapidOCR and Pillow, which is consistent with an 'Image Reader' skill. No unrelated binaries, config paths, or credentials are requested.
Instruction Scope
SKILL.md and the script only operate on the provided image path and return structured JSON. The README notes that the first run will download OCR model files (~50MB); that implies network access to fetch model weights, which is expected for many ML packages but worth being aware of (the code itself does not upload images to external APIs).
Install Mechanism
There is no packaged install spec; SKILL.md instructs users to pip install rapidocr, onnxruntime, and pillow. Installing from PyPI is normal for Python tools, but third-party packages may download additional runtime assets (the models). Verify the upstream package sources and signatures if you require higher assurance.
Credentials
The skill requires no environment variables, credentials, or config paths, and the code does not read environment variables or access unrelated system files.
Persistence & Privilege
The skill is not configured as always-on and does not request persistent agent-wide configuration or elevated privileges. It only runs when invoked.
Assessment
This skill appears to be what it claims: a local OCR reader. Before installing, consider: (1) the pip packages (rapidocr, onnxruntime) will be installed and may download model files from the internet on first run—review the package source and where it pulls models from if you need to trust the host; (2) run the tool in a virtual environment or isolated environment if you are concerned about third-party packages; (3) the script processes images locally and does not itself transmit images to external services, but verify network activity of the rapidocr package if you need to ensure full offline operation; (4) avoid feeding sensitive images until you confirm where model assets come from and whether any telemetry is enabled by the upstream 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.

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