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Python library for working with DICOM (Digital Imaging and Communications in Medicine) files.
Passed 25 of 26 test cases with the skill, and 20 of 26 without it.
and 2 more in the full report
5 fixed20 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
What is the command line invocation to anonymize a DICOM file named 'patient123.dcm' into 'anon123.dcm' using the repository's bundled anonymization script?
| Checked | Without skill | With skill |
|---|---|---|
| Invokes scripts/anonymize_dicom.py with input and output paths | Missed | Passed |
The instructions your model reads when the skill loads.
Pydicom is a pure Python package for working with DICOM files, the standard format for medical imaging data. This skill provides guidance on reading, writing, and manipulating DICOM files, including working with pixel data, metadata, and various compression formats.
Use this skill for DICOM files, tags, pixel data, anonymization, CT/MRI/PET/X-ray medical scans, PACS-oriented processing, and pydicom-specific coding. Generic PNG/JPEG image processing, OCR, screenshots, PubMed/literature search, ClinicalTrials.gov lookup, LaTeX/PDF builds, bioinformatics, chemistry, or generic Data Commons tasks are outside this skill.
Use this skill when working with:
Install pydicom and common dependencies:
uv pip install pydicom
uv pip install pillow # For image format conversion
uv pip install numpy # For pixel array manipulation
uv pip install matplotlib # For visualization
For handling compressed DICOM files, additional packages may be needed:
uv pip install pylibjpeg pylibjpeg-libjpeg pylibjpeg-openjpeg # JPEG compression
uv pip install python-gdcm # Alternative compression handler
test cases passed, vs 20 / 26 without
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