SKILL
imaging-data-commons
https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/imaging-data-commonsSUMMARY
What it does
This skill enables querying and downloading public cancer imaging data from the NCI Imaging Data Commons (IDC). It supports metadata discovery, cohort building, DICOM file downloads, visualization URL generation, license and citation checks, and access to radiology (CT, MR, PET) and pathology (slide microscopy) datasets. The skill provides multiple access paths: a local Python package (idc-index), a hosted REST API, a hosted MCP server, direct cloud storage (GCS/S3), DICOMweb, and BigQuery (the latter two may require GCP authentication). No authentication is required for the primary data access paths. The skill includes detailed guidance on data model, index tables, SQL patterns, and best practices for reproducible use.
CAPABILITIES
Capabilities and scope
Evidence-backed capability profile
MACHINE-READABLE ENDPOINTS
How agents read it
ACCESS
Access requirements
- Protocols
- agent-skills
- Authentication
- type: none · required: false
- Pricing
- model: free
- Version
- 1e5eeffbdad3
USAGE OBSERVATIONS