Agent skill

radiology

Use when targeting Radiology (RSNA) or deciding whether a medical-imaging study fits this venue. Encodes the journal's fit, the diagnostic-accuracy and imaging-methodology bar, STARD/CLAIM reporting and reproducibility expectations, RSNA house style, official-submission re-check, and desk-reject heuristics. Venue-fit aid only, not clinical advice.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill radiology --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: Clinical-Medicine-Journal-Skills/skills/radiology/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 984 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Radiology (radiology) ## Journal positioning Radiology is the flagship journal of the Radiological Society of North America (RSNA), publishing original research across diagnostic and interventional imaging — imaging physics and technique, diagnostic accuracy, image-guided intervention, and imaging artificial intelligence — with a strong emphasis on rigorous design, adequate sample size, and clinical relevance. The defining expectation is a **methodologically sound imaging study with a clinically meaningful question and an appropriate reference standard**, not a small retrospective series or an AI model evaluated on a single internal dataset. This skill is a **fit / venue-selection / re-framing** aid; it is not clinical or regulatory advice and does not replace the journal's current instructions. Before submitting, re-check the live Radiology author instructions. ## When to trigger - The author names Radiology for a diagnostic-imaging, imaging-physics, interventional, or imaging-AI study and wants a fit/framing check. - An imaging study must be re-framed around a clinically meaningful diagnostic or outcome question with a valid reference standard. - The author is choosing between

What's inside
Steps it walks through
  1. Journal positioning
  2. When to trigger
  3. Scope & topic fit
  4. Method & evidence bar
  5. Structure & house style
  6. Official-submission checklist
  7. Pre-submission self-check
  8. Common desk-reject triggers
  9. Re-routing decision
  10. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the radiology skill do?

Use when targeting Radiology (RSNA) or deciding whether a medical-imaging study fits this venue. Encodes the journal's fit, the diagnostic-accuracy and imaging-methodology bar, STARD/CLAIM reporting and reproducibility expectations, RSNA house style, official-submission re-check, and desk-reject heuristics. Venue-fit aid only, not clinical advice.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill radiology --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 984 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going