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-ethicsgit 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-ethics)<a href="https://agentmods.dev/skills/huang-sir1/radiology-skills/radiology-ethics"><img src="https://agentmods.dev/badge/skills/huang-sir1/radiology-skills/radiology-ethics/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-ethics"><img src="https://agentmods.dev/badge/skills/huang-sir1/radiology-skills/radiology-ethics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00191 | $0.01382 |
| Opus 5 | $0.00096 | $0.00691 |
| Sonnet 5 | $0.00038 | $0.00276 |
| Haiku 4.5 | $0.00019 | $0.00138 |
Grade A, and why
radiology-ethics 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Ethics, Consent & Privacy
Use this skill to write the Ethics, Informed Consent, and privacy/governance parts of
an imaging (or imaging+omics) manuscript or grant so they are compliant and honestly bounded.
This is the governance counterpart to radiology-data (which handles the mechanics of
de-identification, repositories, and availability statements). This skill frames the human-
subjects side: approvals, consent, re-identification risk, and what may lawfully be shared.
Core stance
- State the approval, don't invent it. Ethics-committee/IRB name, approval number, and date, plus the consent status, come from the author. Use placeholders; never fabricate them.
- Consent must match the design. Retrospective studies often have a documented waiver of consent; prospective studies need consent (and a consent process described). Say which, and on what basis the waiver was granted.
- Re-identification is a spectrum. DICOM metadata, dates, rare-disease small cohorts, facial reconstruction from head imaging, and genomic data each raise risk; address them specifically.
- Sharing is governed, not automatic. Imaging may be openly shareable after de-identification;
genomic/clinical data are often controlled access. The Ethics/consent must permit whatever
the Data Availability statement promises (keep them consistent with
radiology-data). - Jurisdiction matters. HIPAA (US), GDPR (EU), PIPL (China) and local rules differ; name the framework that applies and defer specifics to the institution.
- Integrity & scope. This is drafting and risk-flagging support, not legal advice; approval numbers, consent terms, and DUAs must be confirmed with the institution/IRB.
When to use
- "Write the Ethics / Informed Consent / privacy statement / 帮我写伦理与知情同意表述。"
- "Retrospective multi-center study — how do I word the consent waiver?"
- "We have genomic + imaging data — what's the re-identification risk and how do I share it?"
- "Which approval/consent text does a grant or Radiology submission need?"
- "Is 'available on reasonable request' acceptable, and what governance must back it?"
What ships with it
4 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.
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 · 85 lines · 191 tokens per session scan A b5140f24ea01
radiology-ethics is a skill published in the GitHub repository huang-sir1/radiology-skills (1,687 stars, last pushed 1mo ago), licensed MIT. It adds 191 tokens to every session and 1,382 once invoked, about $0.0010 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.
Other skills, from other repositories
analytical-method-validation
Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP / / , ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays…
nature-paper-to-patent
Convert scientific papers, theses, technical reports, source code, figures, inventor notes, or research manuscripts into evidence-grounded Chinese invention patent drafts and attorney-facing technical disclosure materials. Use when an AI agent must mine patent points, draft or revise a Chinese technical disclosure…
auditing-part11-trails
Generates and verifies 21 CFR Part 11-style audit trails — who/what/when, electronic signatures, and tamper-evidence — for OpenMed pipelines in GxP and clinical-trial (GCP) settings. Use when the user runs OpenMed in a regulated/validated environment and needs an attributable, time-stamped, tamper-evident record of…
generating-synthetic-surrogates
Replace detected PHI with realistic, type-matched fake values in OpenMed so clinical notes stay readable and parseable instead of full of [REDACTED] markers. Use when the user wants surrogate names, MRNs, addresses, or dates rather than opaque masks, needs consistent fake identities across a document, must keep notes…
shifting-clinical-dates
Apply consistent per-patient date shifting in OpenMed that preserves intervals between events while satisfying HIPAA Safe Harbor's date rule. Use when the user needs to de-identify dates but keep temporal structure for research, shift all dates by the same offset per patient, preserve days-between-events for survival…
fda-database
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.