CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

pydicom

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.

68

Quality

86%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is pydicom in K-Dense-AI/scientific-agent-skills

SKILL.md
Quality
Evals
Security

No evaluations available

This skill hasn't been evaluated yet

Log in to request
tessl scenario generate
tessl eval run
Read the evals guide
Repository

synthetic-sciences/openscience

Path

backend/cli/skills/biology/pydicom/SKILL.md

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.