pydicom
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
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Low
Low-risk findings worth noting
The canonical home for this skill is pydicom in K-Dense-AI/scientific-agent-skills
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
The required runtime workflow involves reading user-supplied DICOM files via `pydicom.dcmread(input_path)` and then formatting/displaying metadata, so free-text DICOM fields from an outside file (e.g., Patient/Study/LO/LT tags) can become LLM-readable context if the agent relays the extracted metadata.
- Repository
- synthetic-sciences/openscience
- Commit
52845c3
- Audited
- Security analysis
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