pydicom-medical-imaging
Pass
Audited by Gen Agent Trust Hub on Apr 28, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill demonstrates legitimate use of the pydicom library for medical imaging. The code examples follow industry best practices for metadata extraction and patient data de-identification.
- [EXTERNAL_DOWNLOADS]: All referenced dependencies, including pydicom, numpy, and pillow, are well-known and standard packages within the scientific and medical imaging communities.
- [COMMAND_EXECUTION]: File system interactions in the provided scripts are limited to scanning local directories for DICOM files and saving processed results, which are standard operations for the described workflows.
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