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Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index.
Passed 21 of 21 test cases with the skill, and 8 of 21 without it.
and 17 more in the full report
14 fixed8 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
When writing an SQL query in Imaging Data Commons to connect slide microscopy annotation series in 'ann_index' back to their source image series in 'index', which join key column from 'ann_index' connects to 'index.SeriesInstanceUID'?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies referenced_SeriesInstanceUID as the join column | Missed | Passed |
The instructions your model reads when the skill loads.
-|--------------|
| index_tables_guide.md | Complex JOINs, schema discovery, DataFrame access |
| use_cases.md | End-to-end workflow examples (training datasets, batch downloads) |
| sql_patterns.md | Quick SQL patterns for filter discovery, annotations, size estimation |
| clinical_data_guide.md | Clinical/tabular data, imaging+clinical joins, value mapping |
| cloud_storage_guide.md | Direct S3/GCS access, versioning, UUID mapping |
| dicomweb_guide.md | DICOMweb endpoints, PACS integration |
| digital_pathology_guide.md | Slide microscopy (SM), annotations (ANN), pathology workflows |
| bigquery_guide.md | Full DICOM metadata, private elements (requires GCP) |
| cli_guide.md | Command-line tools (idc download, manifest files) |
IDC adds two grouping levels above the standard DICOM hierarchy (Patient → Study → Series → Instance):
tcga_luad, nlst). A patient belongs to exactly one collection.Use collection_id to find original imaging data, may include annotations deposited along with the images; use analysis_result_id to find AI-generated or expert annotations.
Key identifiers for queries:
| Identifier | Scope | Use for |
|---|---|---|
collection_id | Dataset grouping | Filtering by project/study |
PatientID | Patient | Grouping images by patient |
StudyInstanceUID | DICOM study | Grouping of related series, visualization |
SeriesInstanceUID | DICOM series | Grouping of related series, visualization |
The idc-index package provides multiple metadata index tables, accessible via SQL or as pandas DataFrames.
Complete index table documentation: Use https://idc-index.readthedocs.io/en/latest/indices_reference.html for quick check of available tables and columns without executing any code.
Important: Use client.indices_overview to get current table descriptions and column schemas. This is the authoritative source for available columns and their types — always query it when writing SQL or exploring data structure.
| Table | Row Granularity | Loaded | Description |
|---|
test cases passed, vs 8 / 21 without
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