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 lynnlangit/precision-medicine-mcp --skill clinical-compliance-docgit clone --depth 1 https://github.com/lynnlangit/precision-medicine-mcpWrote 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/lynnlangit/precision-medicine-mcp/clinical-compliance-doc)<a href="https://agentmods.dev/skills/lynnlangit/precision-medicine-mcp/clinical-compliance-doc"><img src="https://agentmods.dev/badge/skills/lynnlangit/precision-medicine-mcp/clinical-compliance-doc/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/lynnlangit/precision-medicine-mcp/clinical-compliance-doc"><img src="https://agentmods.dev/badge/skills/lynnlangit/precision-medicine-mcp/clinical-compliance-doc.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 | $0.00035 | $0.00444 |
| Opus 5 | $0.00017 | $0.00222 |
| Sonnet 5 | $0.00007 | $0.00089 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade A, and why
clinical-compliance-doc 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.
What it actually says
Clinical Compliance & Security
This skill provides guidelines for maintaining the documentation and architectural safeguards required for clinical environments.
Compliance Standards
- HIPAA: Ensure no PHI (Protected Health Information) is logged or stored.
- Audit Trails: Every write operation to the database or GCS must be logged with a timestamp and actor ID.
- Synthetic Data Only: This repo uses synthetic patient data exclusively (PatientOne: PAT001-OVC-2025). No real patient data should ever be committed.
Scientific Nomenclature
When editing data loaders, models, or documentation:
- Gene names: Follow HUGO standards (e.g., use
GZMB, notgzm-b; useBRCA1, notbrca-1) - Disease labels: Use consistent terminology (e.g.,
HGSOCfor High-grade serous ovarian cancer) - Tissue/cell type labels: Must match the project ontology in PatientOne data
Infrastructure Hooks
Use the tools in infrastructure/ to enforce compliance:
- Audit Logs: Reference
infrastructure/audit/for current logging schemas - Hospital Deployment: Follow the patterns in
infrastructure/hospital-deployment/when drafting deployment plans
Code Review Checklist
When reviewing PRs for compliance:
- Check for hardcoded credentials or API keys
- Verify
allow_listvsblock_listconfigs for data tools - Ensure error messages do not leak internal system paths or data snippets
- Gene names follow HUGO standards
- No PHI/PII in logs, comments, or test fixtures
Use this skill when:
- Drafting implementation plans for clinical features
- Reviewing infrastructure changes
- Writing security reports for funders or hospital partners
- Verifying scientific nomenclature in code or documentation
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 · 47 lines · 35 tokens per session scan A 36afb32cc48d
clinical-compliance-doc is a skill published in the GitHub repository lynnlangit/precision-medicine-mcp (24 stars, last pushed 17d ago), licensed Apache-2.0. It adds 35 tokens to every session and 444 once invoked, about $0.0002 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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