What is cardiovascular-risk-assessment?

A clinical risk calculator that uses patient records to estimate several heart, stroke, chest-pain, and bleeding risks. It includes tools such as CHA2DS2-VASc for stroke risk in atrial fibrillation and ASCVD for future cardiovascular disease risk.

Use it to assess atrial-fibrillation stroke risk, chest-pain risk, long-term heart risk, and bleeding risk while recording the results in a standard patient record.

It gathers conditions, measurements, and medicines into recognized risk scores instead of requiring each score to be calculated separately. The results can support consistent assessment and treatment-threshold discussions.

cardiovascular-risk-assessment — Skill by langcare/langcare-mcp-fhir

Install

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.

Any agent

npx skills add langcare/langcare-mcp-fhir --skill cardiovascular-risk-assessment

Clone the repo

git clone --depth 1 https://github.com/langcare/langcare-mcp-fhir

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/cardiovascular-risk-assessment/github.svg)](https://agentmods.dev/skills/langcare/langcare-mcp-fhir/cardiovascular-risk-assessment)

Your own site

<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/cardiovascular-risk-assessment"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/cardiovascular-risk-assessment/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/cardiovascular-risk-assessment"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/cardiovascular-risk-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,170 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00124	$0.03170
Opus 5.5	$0.00050	$0.01268
Sonnet 5.5	$0.00025	$0.00634
Haiku 4.5	$0.00012	$0.00317

Measured 2mo ago against content hash 959d7460960e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cardiovascular-risk-assessment 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 2mo 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.

skills/core/clinical-decision-support/cardiovascular-risk-assessment/SKILL.md · 314 lines

How it starts

The opening of the file, as written. The whole thing — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cardiovascular Risk Assessment

Overview

Calculate multiple cardiovascular risk scores from FHIR Patient, Observation, Condition, and MedicationRequest resources. Supports CHA2DS2-VASc (stroke risk in atrial fibrillation), HEART Score (acute chest pain evaluation), Framingham Risk Score (10-year CHD risk), ASCVD Pooled Cohort Equations (10-year ASCVD risk), and HAS-BLED (bleeding risk on anticoagulation). Generate a RiskAssessment FHIR resource with findings and treatment-threshold recommendations.

FHIR Resources Used

Resource	Purpose	Key Fields
Patient	Age, gender, race	birthDate, gender, extension (us-core-race)
Condition	CHF, HTN, DM, stroke, vascular disease, AF	code, clinicalStatus
Observation	BP, cholesterol, HDL, glucose, HbA1c, INR	code, valueQuantity, effectiveDateTime
MedicationRequest	Antiplatelets, anticoagulants, NSAIDs, antihypertensives	medicationCodeableConcept, status
RiskAssessment	Output: risk scores	method, prediction, basis

Instructions

Step 1: Retrieve Patient Demographics

Tool: fhir_read
resourceType: "Patient"
id: "[patient-id]"

Extract: age (from birthDate), gender, race (from US Core extension for ASCVD PCE).

Step 2: Retrieve Active Conditions

Tool: fhir_search
resourceType: "Condition"
queryParams: "patient=[patient-id]&clinical-status=active"

Identify conditions relevant to scoring. Key SNOMED codes:

49436004: Atrial fibrillation
42343007: Congestive heart failure
38341003: Hypertension
73211009: Diabetes mellitus
230690007: Cerebrovascular accident (stroke)
266257000: Transient ischemic attack (TIA)
27550009: Vascular disease (peripheral, aortic plaque, prior MI)
22298006: Myocardial infarction
400047006: Peripheral vascular disease
235856003: Hepatic disease
709044004: Chronic kidney disease
414545008: Ischemic heart disease

Also search historical conditions for stroke/TIA/MI history:

Tool: fhir_search
resourceType: "Condition"
queryParams: "patient=[patient-id]&code=230690007,266257000,22298006"

Read the full file on GitHub · 314 lines

Files

What ships with it

2 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.

Changes

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.

2mo ago First seen · 314 lines · 124 tokens per session scan A 959d7460960e

Subscribe to this mod's changes

cardiovascular-risk-assessment is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 124 tokens to every session and 3,170 once invoked, about $0.0005 per session on Opus 5.5. 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.

cardiovascular-risk-assessment next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
cardiovascular-risk-assessmentlangcare/langcare-mcp-fhir	Skill	71	6mo ago	MIT	A	124	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
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