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End-to-end DICOM workflow: parsing, anonymization/de-identification, conversion, structured reporting, PACS query/retrieve, and DICOMweb. Build automated medical imaging pipelines.
Passed 20 of 22 test cases with the skill, and 18 of 22 without it.
2 fixed18 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
What relative URL path structure under 'http://pacs:8080' is standard when querying study metadata via DICOMweb QIDO-RS?
| Checked | Without skill | With skill |
|---|---|---|
| The URL target path is /dicom-web/studies. | Missed | Passed |
The instructions your model reads when the skill loads.
End-to-end DICOM workflow: parsing, anonymization, conversion, structured reporting, PACS query/retrieve, and DICOMweb integration.
uv pip install pydicom
import pydicom, numpy as np
ds = pydicom.dcmread("study.dcm")
print(f"Patient: {ds.PatientName}")
print(f"Modality: {ds.Modality}")
print(f"Study: {ds.StudyDescription}")
print(f"Size: {ds.Rows}x{ds.Columns}")
pixels = ds.pixel_array # NumPy array
ds = pydicom.dcmread("input.dcm")
phi_tags = [(0x0010, 0x0010), (0x0010, 0x0030), (0x0008, 0x0080)]
for tag in phi_tags:
if tag in ds:
ds[tag].value = ""
ds.save_as("anon.dcm")
import requests
resp = requests.get(
test cases passed, vs 18 / 22 without
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