radiology-journal
radiology-journal is an Academic writing & papers skill for AI agents, published by huang-sir1 in the radiology-skills repository on GitHub. Skillspace rates radiology-journal C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Match a finished or near-finished imaging-AI / radiomics / radiogenomics manuscript to the right target journals and build a submission tier list (reach / target / safety) grounded in each venue's publication patterns, author-guide style profiles, and the paper's real strengths and weaknesses. Use when the user asks where to submit, "选刊/投哪个期刊", journal selection, "can this go to Nature Medicine / Science / NEJM / Lancet / Lancet Oncology / Lancet Digital Health / Radiology", fit assessment, or a submission ladder. Uses The Lancet Digital Health guide as the default Lancet-series proxy. Grades external validation, prospectivity, reader study, calibration, clinical utility, sample size, centers, novelty, and reporting compliance; returns fit, risk, strengthening priorities, and venue-style requirements. Verifies current journal scope via live search; never selects on impact factor alone.
- Grade
- C
- Quality
- 71 / 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
- 94 / 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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