← ClaudeAtlas

imaging-data-commonslisted

Query and download public cancer imaging data from NCI Imaging Data Commons. Invoke for any question about IDC collections, cancer imaging datasets, DICOM data access, radiology (CT, MR, PET) or pathology AI training sets, metadata queries, visualization, or license checks — even when the user doesn't explicitly mention "IDC". No authentication required.
userInner/SKILLS · ★ 3 · AI & Automation · score 72
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