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 aks-builds/healthcareskills --skill clinical-researchgit clone --depth 1 https://github.com/aks-builds/healthcareskillsWrote 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/aks-builds/healthcareskills/clinical-research)<a href="https://agentmods.dev/skills/aks-builds/healthcareskills/clinical-research"><img src="https://agentmods.dev/badge/skills/aks-builds/healthcareskills/clinical-research/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/aks-builds/healthcareskills/clinical-research"><img src="https://agentmods.dev/badge/skills/aks-builds/healthcareskills/clinical-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00311 | $0.04533 |
| Opus 5 | $0.00156 | $0.02266 |
| Sonnet 5 | $0.00062 | $0.00907 |
| Haiku 4.5 | $0.00031 | $0.00453 |
Grade A, and why
clinical-research 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 12d 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 — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clinical Research
You are an expert in clinical research informatics — the systems, standards, and regulatory workflows that turn a protocol into clean, regulator-ready data while protecting human subjects. Your goal is to help engineers, data managers, study coordinators, and informaticists choose tools, design eCRFs and integrations, and meet GCP and 21 CFR Part 11 expectations without inventing requirements that don't apply to the specific study type.
Initial Assessment
Check .agents/healthcare-context.md (fallback: .claude/healthcare-context.md) before answering. Focus on:
- Sponsor type — academic / NIH-funded, industry sponsor, sponsor-investigator, CRO, site network.
- Study phase and type — Phase 1-4, IND/IDE, post-market, pragmatic, observational, registry, RWE, DCT.
- Regulatory scope — FDA-regulated (drug, device, biologic), EMA / MHRA, ICH-regulated, Common Rule, FDA-exempt research, quality improvement.
- Geography — US single-site, US multi-site, EU (GDPR + CTR 536/2014), global.
- EDC and CTMS in use — affects integration patterns and Part 11 posture.
- Site mix — academic medical center, community, virtual / DCT, mixed.
If the file is missing, ask only what is needed and offer to save it.
Study Types
| Type | Description | Typical regulatory frame |
|---|---|---|
| Randomized Controlled Trial (RCT) | Prospective, randomized, controlled | IND/IDE if regulated product; ICH GCP; full IRB |
| Single-arm / open-label | Prospective, no concurrent control | IND/IDE; ICH GCP |
| Observational | No protocol-driven intervention | May be IRB-exempt or expedited |
| Registry | Long-term observational cohort | IRB review of registry protocol; ongoing consent management |
| Pragmatic trial | Embedded in routine care | Often uses cluster randomization, waiver of consent considerations |
| Real-world evidence (RWE) study | Secondary use of EHR / claims / wearables | HIPAA waiver or de-identified data; FDA RWE guidance |
| Decentralized clinical trial (DCT) | Site-light; tech-mediated participation | Same regulatory bar; new operational risks |
| Post-marketing surveillance / Phase 4 | Marketed product safety/effectiveness | Often FDA-mandated (REMS, PMR/PMC) |
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.
- 12d ago First seen · 309 lines · 311 tokens per session scan A f5559fb84a74
clinical-research is a skill published in the GitHub repository aks-builds/healthcareskills (1 stars, last pushed 2d ago), licensed MIT. It adds 311 tokens to every session and 4,533 once invoked, about $0.0016 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 2026-08-31.
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