Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →freedomintelligence/imaging-data-commons
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index.
Passed 23 of 23 test cases with the skill, and 8 of 23 without it.
and 27 more in the full report
15 fixed8 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
Provide Python code using the Cancer Imaging Data Commons package to extract citations for the rider_pilot collection formatted specifically as BibTeX entries for inclusion in a LaTeX document.
| Checked | Without skill | With skill |
|---|---|---|
| Calls client.citations_from_selection to retrieve publication references | Missed | Passed |
| Sets citation_format parameter to IDCClient.CITATION_FORMAT_BIBTEX | Missed | Passed |
The instructions your model reads when the skill loads.
Use the idc-index Python package to query and download public cancer imaging data from the National Cancer Institute Imaging Data Commons (IDC). No authentication required for data access.
Current IDC Data Version: v23 (always verify with IDCClient().get_idc_version())
Primary tool: idc-index (GitHub)
CRITICAL - Check package version and upgrade if needed (run this FIRST):
import idc_index
REQUIRED_VERSION = "0.11.10" # Must match metadata.idc-index in this file
installed = idc_index.__version__
if installed < REQUIRED_VERSION:
print(f"Upgrading idc-index from {installed} to {REQUIRED_VERSION}...")
import subprocess
subprocess.run(["pip3", "install", "--upgrade", "--break-system-packages", "idc-index"], check=True)
print("Upgrade complete. Restart Python to use new version.")
else:
print(f"idc-index {installed} meets requirement ({REQUIRED_VERSION})")
Verify IDC data version and check current data scale:
from idc_index import IDCClient
client = IDCClient()
# Verify IDC data version (should be "v23")
print(f"IDC data version: {client.get_idc_version()}")
# Get collection count and total series
stats = client.sql_query("""
SELECT
COUNT(DISTINCT collection_id) as collections,
test cases passed, vs 8 / 23 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.