imaging-data-commons
Pass
Audited by Gen Agent Trust Hub on Jun 18, 2026
Risk Level: SAFE
Full Analysis
- [COMMAND_EXECUTION]: The main skill documentation includes a Python snippet that uses
subprocess.runto upgrade theidc-indexpackage. This is a standard environment management practice for data science tools to ensure compatibility with specific data versions. - [EXTERNAL_DOWNLOADS]: The skill facilitates the download of medical imaging data (DICOM) and metadata (Parquet) from well-known public cloud storage buckets (AWS S3 and Google Cloud Storage) and official NCI/IDC endpoints. These resources are from trusted scientific organizations and represent the primary function of the skill.
- [SAFE]: The skill utilizes established, reputable Python libraries such as
pydicom,pandas, andduckdb. It operates on public research data and requires no authentication for data access, following standard open-science protocols.
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