imaging-data-commons SKILL.md skillA

imaging-data-commons from jaechang-hits/sciagent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jaechang-hits/sciagent-skills/imaging-data-commons@git:20260528.a140b59

Pins git:20260528.a140b59 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jaechang-hits/sciagent-skills
Path
skills/medical-imaging/imaging-data-commons/SKILL.md
Versions recorded
1
Latest version
git:20260528.a140b59, committed May 28, 2026
Size
18,827 bytes
Repository stars
381
License
a license file GitHub does not identify

Query and download NCI Imaging Data Commons (IDC) cancer radiology and pathology datasets via the idc-index Python client. No authentication required: the parquet index ships inside the pip wheel, SQL runs locally via DuckDB, and DICOM downloads stream from public S3/GCS buckets through s5cmd. Use sql_query() for DuckDB cohort selection, get_collections/get_patients/get_dicom_studies/get_dicom_series for hierarchical browsing, download_from_selection() for downloads, and get_viewer_URL() for…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# NCI Imaging Data Commons (idc-index)

## Overview

NCI Imaging Data Commons (IDC) is the largest public collection of cancer imaging data, hosting 175+ DICOM collections (CT, MR, PET, slide microscopy, segmentations, structured reports). The idc-index Python client ships the entire IDC metadata catalog as a parquet file bundled inside the pip wheel; IDCClient() loads it into DuckDB, so sql_query() runs locally with zero network calls.

Image downloads stream from public AWS S3 (default) or Google Cloud Storage buckets via the bundled s5cmd executable. No GCP/AWS credentials, no BigQuery billing, no service account JSON.

## When to Use

- Searching publicly available cancer imaging datasets by modality, cancer type, anatomical site, or DICOM tag
- Building reproducible ML cohorts (segmentation, classification, multimodal) from versioned IDC releases
- Querying DICOM metadata at scale using SQL across all 175+ collections without any downloads
- Downloading specific DICOM series for local processing or model training
- Generating OHIF/Slim viewer URLs to share or inspect series interactively in a browser
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jaechang-hits/sciagent-skills/imaging-data-commons@sha256:0ca3ac7209c19626

The line at the top of this page pins the label git:20260528.a140b59, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_hviqhgjme5o2ggim.svg)](https://markdownregistry.com/a/art_hviqhgjme5o2ggim)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on May 28, 2026.

versioncommittedcommitsizeaudit
git:20260528.a140b59 latest2026-05-28 a140b59 18,827 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (18827 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

jaechang-hits/sciagent-skills · 381 stars · license a license file GitHub does not identify · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_hviqhgjme5o2ggim
GET https://markdownregistry.com/api/v1/resolve?ref=jaechang-hits/sciagent-skills/imaging-data-commons
GET https://markdownregistry.com/api/v1/blob/0ca3ac7209c19626bd98355686bca9622c2889647c9b577b2939688ecc6e9018

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in jaechang-hits/sciagent-skills

Other files named imaging-data-commons

imaging-data-commons SKILL.md skill
k-dense-ai/scientific-agent-skills · skills/imaging-data-commons/SKILL.md · Queries and downloads public cancer imaging data from NCI Imaging Data Commons. Supports IDC collection discovery…
v1.8 · audit A · 53,159 stars

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