imaging-data-commons

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.

1.35x

Quality

75%

Does it follow best practices?

Impact

73%

1.35x

Average score across 3 eval scenarios

Securityby

Advisory

Suggest reviewing before use

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npx tessl skill review --optimize ./scientific-skills/imaging-data-commons/SKILL.md

Evaluation results

53%

25%

Commercial AI Dataset Curation from IDC

License checking and citation generation

Criteria

Without context

With context

IDC version verified

60%

100%

Package version check

License field queried

50%

100%

CC BY-NC excluded

60%

70%

collections_index fetched

Cancer/collection join

Exploratory filter query

28%

LIMIT in exploratory queries

Size estimated

80%

100%

Selection saved to CSV

100%

citations_from_selection used

100%

Citation format constant

92%

21%

Segmentation Dataset Inventory for Radiology AI Research

Specialized index discovery and schema exploration

Criteria

Without context

With context

IDC version verified

100%

Package version check

100%

indices_overview accessed

100%

seg_index fetched

33%

100%

analysis_results_index fetched

62%

analysis_result_id used

100%

seg_index to index JOIN

100%

LIMIT in exploratory queries

No BigQuery

100%

Results saved to file

100%

75%

10%

Reproducible DICOM Download Pipeline for Multi-Site Imaging Study

Reproducible download pipeline with manifest and CLI

Criteria

Without context

With context

IDC version verified

100%

Size estimated

100%

LIMIT in exploratory queries

download_from_selection used

Custom dirTemplate

100%

Batch download loop

series_aws_url for manifest

100%

Manifest format correct

100%

idc download CLI used

100%

Selection saved to CSV

100%

CRDC UUID naming documented

100%

Repository: K-Dense-AI/claude-scientific-skills
Commit: b58ad7e

Evaluated: 27 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Commercial AI Dataset Curation from IDC Segmentation Dataset Inventory for Radiology AI Research Reproducible DICOM Download Pipeline for Multi-Site Imaging Study

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