medical-imaging-review
medical-imaging-review is a Literature review & citations skill for AI agents, published by luwill in the research-skills repository on GitHub. Skillspace rates medical-imaging-review C (76/100) and it passed the safety scan; the rating is based on static analysis only.
Use when the user asks to write a "综述", narrative review, method survey, scoping review, systematic review, meta-analysis, evidence map, or journal-submission review manuscript in a medical imaging AI context — segmentation, detection, classification, diagnosis, prognosis, or clinical translation across CT, MRI, X-ray, ultrasound, pathology, and related modalities. Not for revising an existing AI-drafted review draft (use ai-review-revision) or for original research.
- Grade
- C
- Quality
- 76 / 100
- Safety
- Passed
- GitHub stars
- 734
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 91 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 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
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