pydicom
Pass
Audited by Gen Agent Trust Hub on Jun 26, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill content is educational and provides functional tools for medical imaging tasks. No obfuscation, persistence, or privilege escalation patterns were found.
- [EXTERNAL_DOWNLOADS]: Recommends reputable Python libraries for medical data processing (pydicom, numpy, pillow, matplotlib, pylibjpeg, and python-gdcm) from official package registries.
- [COMMAND_EXECUTION]: Provides utility scripts for local file processing, including DICOM metadata extraction and format conversion. These scripts handle file paths provided as CLI arguments for local operations.
- [DATA_EXFILTRATION]: Includes a security-positive script (anonymize_dicom.py) designed to remove Protected Health Information (PHI) from DICOM datasets, adhering to data privacy best practices. No unauthorized network operations or exfiltration patterns were detected.
Audit Metadata