imaging-data-commonslisted
Install: claude install-skill userInner/SKILLS
# Imaging Data Commons
## Overview
Query and download public cancer imaging data from the National Cancer Institute Imaging Data Commons (IDC). No authentication required for data access.
**Expected network access:** IDC metadata is reachable three ways — a local DuckDB index shipped with the `idc-index` Python package (no network), or the hosted IDC service over MCP or REST (`api.imaging.datacommons.cancer.gov`, no authentication). File downloads use public GCS (`storage.googleapis.com`) and AWS S3 (`s3.amazonaws.com`) — no authentication required. DICOMweb access uses either the public IDC proxy (`proxy.imaging.datacommons.cancer.gov`, no auth) or the Google Cloud Healthcare API (`healthcare.googleapis.com`, requires GCP authentication). Optional BigQuery queries (`bigquery.googleapis.com`) also require GCP authentication. No credentials or environment variables are accessed by this skill.
**Current IDC Data Version: v24** (always verify — see *Best Practices*)
**Choose the access path first.** There is no single default: the cheapest correct path depends
on the session and the task.
1. **Session already has the IDC MCP server?** Route discovery and metadata there — see *IDC
MCP Server*.
2. **Otherwise, is `idc-index` installed?** Run `python scripts/check_version.py`. If it passes,
use `idc-index` for everything.
3. **Not installed, and the task is read-only metadata** — counts, attribute values, collection
lookups, SQL under 10 000 rows, licenses, citations