cv-modality-adaptive-dicom-windowing

cv-modality-adaptive-dicom-windowing is a Computer vision skill for AI agents, published by wenmin-wu in the ds-skills repository on GitHub. Skillspace rates cv-modality-adaptive-dicom-windowing D (65/100) and it passed the safety scan; the rating is based on static analysis only.

Route each DICOM series to a per-modality window-center / window-width pair (CT/CTA/MRA/MRI) before normalization, so the same model can ingest mixed modalities without one modality's intensity range washing out the others

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
52

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubwenmin-wu/ds-skills

Our review

Architecture
94 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 1 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Better-rated skills in Computer vision

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.