pydicom

Pass

Audited by Gen Agent Trust Hub on Jul 30, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill's primary function is to facilitate medical image analysis using established Python libraries. The provided code and instructions align perfectly with this purpose.
  • [DATA_EXPOSURE]: The skill demonstrates a proactive approach to security by including the scripts/anonymize_dicom.py utility, which is designed to remove Protected Health Information (PHI) from medical datasets before they are shared or analyzed further.
  • [EXTERNAL_DOWNLOADS]: The skill recommends the installation of standard, reputable Python packages (such as pydicom, numpy, pillow, and matplotlib) via the uv package manager. These are well-established libraries in the scientific and medical imaging communities.
  • [INDIRECT_PROMPT_INJECTION]: While the skill involves processing external data (DICOM files), it does not employ unsafe operations like dynamic code execution (eval/exec) or network exfiltration based on file content. The processing is limited to metadata manipulation and image array extraction within a local environment.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 30, 2026, 03:09 AM