radiology-skills is a collection of Codex skills for medical-imaging research, covering radiomics, deep learning, imaging genomics, multimodal studies, statistics, validation, and scientific publishing. It is intended for researchers who design, analyze, write, and submit medical-imaging AI studies. The catalogue entries are its modular research workflows and specialist advisory skills.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add huang-sir1/radiology-skills --skill radiology-writinggit clone --depth 1 https://github.com/huang-sir1/radiology-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/huang-sir1/radiology-skills/radiology-writing)<a href="https://agentmods.dev/skills/huang-sir1/radiology-skills/radiology-writing"><img src="https://agentmods.dev/badge/skills/huang-sir1/radiology-skills/radiology-writing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/huang-sir1/radiology-skills/radiology-writing"><img src="https://agentmods.dev/badge/skills/huang-sir1/radiology-skills/radiology-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00159 | $0.01975 |
| Opus 5 | $0.00079 | $0.00988 |
| Sonnet 5 | $0.00032 | $0.00395 |
| Haiku 4.5 | $0.00016 | $0.00198 |
Grade A, and why
radiology-writing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Radiology-Style Manuscript Writing
Use this skill to construct imaging-research prose — argument first, then sentences —
in the exact shape Radiology requires. It is for drafting and restructuring, not only
polishing (for sentence-level polish use radiology-polishing).
Core stance
- Author evidence first. Never invent results, metrics, p-values, cohort numbers, citations, mechanisms, or limitations. Missing input → explicit placeholder or a question.
- Write the argument before the sentences. One-sentence claim → section architecture → paragraph jobs → prose.
- Match the Radiology shape. Structured abstract, Summary statement (one sentence), Key Results (≤ 3, ≤ 75 words), structured Discussion, tight word/figure limits.
- Bound the claim. Ambitious but evidence-bounded; calibrate verbs to evidence (demonstrate → suggest → may reflect).
- Reporting-aware. Every Methods/Results element should satisfy the relevant checklist
item (CLAIM/TRIPOD+AI/CLEAR/STARD) — cross-check with
radiology-reporting.
When to use
- Draft/rebuild any section: title, structured abstract, Summary statement, Key Results, Introduction, Materials and Methods, Results, Discussion.
- Turn Chinese lab notes / mixed drafts into submission-ready English.
- Restructure a rejected draft to the Radiology argument shape.
When to open extra files
| File | Open when |
|---|---|
| references/article-architecture.md | Section order, argument flow, and the Radiology manuscript skeleton |
| references/structured-abstract.md | Writing the structured abstract + Summary statement + Key Results box |
| references/methods.md | Materials and Methods for imaging/AI/radiomics studies (what must appear, in order) |
| references/results.md | Results narrative: flow, performance with CIs, comparisons, validation |
| references/discussion.md | Structured Discussion (key-finding first → context → limitations → conclusion) |
| references/chinese-author-workflow.md | Notes are Chinese / mixed / lab-note style; translate intent and argument, not clause order |
| references/nature-family-shape.md | Target is Nature Medicine / Nature Biomedical Engineering / Nature Communications / npj Digital Medicine / Cell Reports Medicine etc. — unstructured abstract, no Summary statement/Key Results box, different Methods placement |
| references/argument-spine-and-stage-gates.md | Full manuscript rebuild, rejected-paper rescue, unclear contribution, high-impact submission, or a draft whose story/figures/results do not yet lock together |
| references/journal-family-writing-style.md | Target journal family is known, or the user supplied author-guide PDFs/classic papers and wants the manuscript to carry that venue's writing style |
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- README.md 2.2 KB
- references/argument-spine-and-stage-gates.md 7.4 KB
- references/article-architecture.md 2.6 KB
- references/chinese-author-workflow.md 1.9 KB
- references/discussion.md 1.6 KB
- references/examples/abstract-example.md 1.9 KB
- references/journal-family-writing-style.md 10 KB
- references/methods.md 2.6 KB
- references/nature-family-shape.md 8.3 KB
- references/results.md 1.8 KB
- references/structured-abstract.md 2.1 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 127 lines · 159 tokens per session scan A 532aff4bce28
radiology-writing is a skill published in the GitHub repository huang-sir1/radiology-skills (1,687 stars, last pushed 1mo ago), licensed MIT. It adds 159 tokens to every session and 1,975 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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