Imaging Data Commons (Claude Skill)

Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index.

   
Type Claude Skill
Supplier K-Dense Inc. (community OSS)
Availability GA — part of the actively maintained K-Dense scientific-agent-skills collection
Pricing Free / OSS (This skill is provided under the MIT. IDC data itself has individual licensing (mostly CC-BY, some CC-NC) that must be respected when using the data)
Capabilities Read/Write — Claude runs the skill’s Python locally (Bash), not as an MCP tool

How to install

  • Also packaged in the SciAgent-Skills collection (jaechang-hits (community OSS, CC BY 4.0)): clone jaechang-hits/SciAgent-Skills and run /plugin install sciagent-skills in Claude Code (or copy skills/medical-imaging/imaging-data-commons into ~/.claude/skills/).
  • Claude Code / Claude.ai — Skills CLI (recommended):
    npx skills add K-Dense-AI/scientific-agent-skills
    

    Installs the K-Dense collection; enable the imaging-data-commons skill when prompted. Works across Claude Code, Cursor, and Codex via the Agent Skills spec (requires Node ≥ 18).

  • Claude Code / Claude Desktop — manual clone:
    git clone https://github.com/K-Dense-AI/scientific-agent-skills
    cp -r scientific-agent-skills/skills/imaging-data-commons ~/.claude/skills/
    

    Project-scoped alternative: copy into .claude/skills/ instead of ~/.claude/skills/. The skill declares its own Python dependencies in its SKILL.md; install them (the K-Dense skills generally use uv / pip) when prompted on first use.

What it does

Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.

Primary use cases: accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research.

Notes

Distributed as a SKILL.md (plus code examples) in the K-Dense collection — Claude executes it locally via Bash/Python rather than as an MCP server. Upstream license: This skill is provided under the MIT. IDC data itself has individual licensing (mostly CC-BY, some CC-NC) that must be respected when using the data. The skill name to enable after install is imaging-data-commons.

Sources


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