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 langcare/langcare-mcp-fhir --skill cardiovascular-riskgit clone --depth 1 https://github.com/langcare/langcare-mcp-fhirWrote 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/langcare/langcare-mcp-fhir/cardiovascular-risk)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/cardiovascular-risk"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/cardiovascular-risk/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/langcare/langcare-mcp-fhir/cardiovascular-risk"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/cardiovascular-risk.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 | $0.00088 | $0.00927 |
| Opus 5 | $0.00044 | $0.00464 |
| Sonnet 5 | $0.00018 | $0.00185 |
| Haiku 4.5 | $0.00009 | $0.00093 |
Grade A, and why
langcare-cardiovascular-risk 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cardiovascular Risk Assessment
When to Use This Skill
Use when a clinician needs cardiovascular risk stratification for treatment decisions including anticoagulation for AFib, statin therapy initiation, or acute chest pain evaluation.
Clinical Workflow
- Use
fhir_readto retrieve Patient demographics (age, gender, race for ASCVD PCE) - Use
fhir_searchto pull active Condition resources for scoring: AFib, CHF, HTN, DM, stroke/TIA, MI, PVD - Use
fhir_searchto pull Observation resources: BP, cholesterol, HDL, LDL, HbA1c, troponin, INR, creatinine - Use
fhir_searchto pull active MedicationRequest: anticoagulants, antiplatelets, statins, antihypertensives, NSAIDs - Select scores based on context: AFib -> CHA2DS2-VASc + HAS-BLED; chest pain -> HEART Score; primary prevention -> ASCVD PCE
- Calculate scores using reference tables (see references/ascvd-heart-scoring.md)
- Use
fhir_createto create RiskAssessment resource with findings and predictions - Present scores with treatment-threshold recommendations per ACC/AHA guidelines
FHIR Resources
- Patient -- Age, gender, race (US Core extension for ASCVD PCE)
- Condition -- CHF, HTN, DM, stroke/TIA, MI, AFib, PVD, CKD
- Observation -- BP (85354-9), cholesterol (2093-3), HDL (2085-9), LDL (18262-6), troponin (6598-7, 89579-7), INR (6301-6)
- MedicationRequest -- Anticoagulants, antiplatelets, statins, antihypertensives
- RiskAssessment -- Output: risk scores and predictions
FHIR Query Examples
Pull Active Conditions
fhir_search(resourceType="Condition", queryParams="patient=[patient-id]&clinical-status=active")
Pull Blood Pressure
fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&code=85354-9&_sort=-date&_count=3")
Pull Lipids
fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&code=2093-3,2085-9,18262-6&_sort=-date&_count=3")
Clinical Guidelines
- ACC/AHA 2019 Primary Prevention of Cardiovascular Disease
- ACC/AHA/HRS 2019 AFib Management (CHA2DS2-VASc thresholds)
- AHA 2021 Chest Pain Guideline (HEART Score)
- ASCVD PCE risk calculator (40-79 years)
What ships with it
1 file 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 · 67 lines · 88 tokens per session scan A 0c3acef1d29a
langcare-cardiovascular-risk is a skill published in the GitHub repository langcare/langcare-mcp-fhir (55 stars, last pushed 5mo ago), licensed MIT. It adds 88 tokens to every session and 927 once invoked, about $0.0004 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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