radiology-search
radiology-search is a Literature review & citations skill for AI agents, published by huang-sir1 in the radiology-skills repository on GitHub. Skillspace rates radiology-search C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Multi-source literature, dataset, and local-corpus search for imaging research, with deduplication, identifier verification, reference management, and survey/RAG workflow support. Searches PubMed, arXiv, Crossref, and imaging dataset registries (TCIA, GEO, cBioPortal, OpenNeuro, Grand Challenge, Medical Segmentation Decathlon), and can structure local paper/RAG workflows when a paper database, PaperQA2, NotebookLM, or paperpipe-style backend exists. Use when the user wants to find papers/datasets, run systematic or survey-level search, verify DOI/PMID/arXiv IDs, map a field, build a gap matrix, or synthesize literature for a manuscript. Verifies identifiers and exposes incomplete metadata; never fabricates bibliographic fields.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 819
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
- 96 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- 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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