radiology-grant
radiology-grant is a Peer review & grants skill for AI agents, published by huang-sir1 in the radiology-skills repository on GitHub. Skillspace rates radiology-grant D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Reframe and polish imaging-AI / radiomics / radiogenomics research as a research grant proposal — convert paper-style "we built a model" into grant logic (clinical need → scientific question → hypothesis → specific aims/研究内容 → technical route/技术路线 → innovation/创新点 → feasibility/可行性 → expected outcomes), and strengthen title, abstract, background/立项依据, aims, key scientific question/关键科学问题, and significance. Primary and most-developed track is NSFC (国家自然科学基金: 青年/面上/地区) and provincial funds (省自然); also covers reframing the same proposal for international funders (NIH R01, ERC Starting/Consolidator/Advanced, Wellcome Trust) including realistic eligibility for China-based applicants and cross-border routes (NSFC international collaboration line, RGC, MSCA, foundations). Use when the user mentions 国自然/省自然/基金申请/标书/立项依据/科学问题/技术路线/创新点/可行性, NIH/R01/ERC/Wellcome/国际基金, or wants to turn a study into a fundable proposal for any of these. Flags weak innovation, thin preliminary data, open-loop…
- Grade
- D
- Quality
- 68 / 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.
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Our review
- Architecture
- 89 / 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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