radiology-reporting
radiology-reporting is an Academic writing & papers skill for AI agents, published by huang-sir1 in the radiology-skills repository on GitHub. Skillspace rates radiology-reporting C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Route an imaging-research manuscript or protocol to the correct reporting/quality guideline and audit it item-by-item for Radiology (RSNA) or Nature-portfolio submission. Use when the user mentions CLAIM, TRIPOD+AI, STARD, PRISMA-DTA, QUADAS-2, CLEAR, METRICS, RQS, IBSI, PROBAST, CONSORT-AI, FUTURE-AI, TRIPOD-LLM, the Nature Portfolio Reporting Summary / Editorial Policy Checklist, a "reporting checklist", "what's required for submission", radiomics quality, or wants to know what a reviewer will check. Produces a filled checklist with PRESENT / PARTIAL / MISSING per item, manuscript location, and concrete fixes. Do not fabricate compliance — flag missing items honestly.
- 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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