What is langcare-vte-risk?

A clinical calculator for estimating venous thromboembolism risk, meaning the risk of blood clots such as deep-vein thrombosis or pulmonary embolism. It uses Wells, Caprini, and Padua scoring systems for different patient situations.

Assessing suspected DVT or PE, estimating clot risk in surgical or hospitalized patients, and presenting risk-based thromboprophylaxis recommendations.

It collects relevant patient factors, recent procedures, observations, and anticoagulant use before applying the appropriate score. This supports consistent risk classification and prevention planning.

langcare-vte-risk — Skill for Claude Code and Codex by langcare

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 vte-risk

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/vte-risk/github.svg)](https://agentmods.dev/skills/langcare/langcare-mcp-fhir/vte-risk)

Your own site

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

Your own site · 80×15

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

Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 733 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	$0.00078	$0.00733
Opus 5.5	$0.00031	$0.00293
Sonnet 5.5	$0.00016	$0.00147
Haiku 4.5	$0.00008	$0.00073

Measured 2mo ago against content hash a42c0a31fb7f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

langcare-vte-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 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

responsive-ui-engineering — 88% identical, 83 lines differ

cma/skills/clinical-decision-support/vte-risk/SKILL.md · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.

VTE Risk Assessment

When to Use This Skill

Use when a clinician needs to stratify VTE risk for hospitalized medical or surgical patients and determine appropriate thromboprophylaxis.

Clinical Workflow

Use fhir_read to retrieve Patient demographics (age, gender)
Use fhir_search to pull active Condition resources for risk factors: cancer, prior VTE, recent surgery, immobilization, thrombophilia
Use fhir_search to pull recent Observation resources: vitals (HR, SpO2), D-dimer, hemoglobin
Use fhir_search to pull recent Procedure and Encounter resources for surgical/immobilization context
Use fhir_search to pull active MedicationRequest for current anticoagulation status
Select appropriate tool: Wells DVT or Wells PE for diagnostic workup; Caprini for surgical prophylaxis; Padua for medical prophylaxis
Calculate scores per references/wells-caprini-scoring.md
Present risk stratification with prophylaxis recommendations

FHIR Resources

Patient -- Age, gender
Condition -- Cancer, prior VTE, thrombophilia, HF, stroke, acute infection
Observation -- Heart rate, SpO2, D-dimer, hemoglobin
Procedure -- Recent surgery type and date
Encounter -- Admission context, immobilization
MedicationRequest -- Current anticoagulation, hormonal therapy, chemotherapy

FHIR Query Examples

Pull Risk Factor Conditions

fhir_search(resourceType="Condition", queryParams="patient=[patient-id]&clinical-status=active")

Pull D-dimer

fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&code=48066-5&_sort=-date&_count=1")

Clinical Guidelines

ACCP (CHEST) Guidelines for VTE Prevention in Hospitalized Patients
ASH 2019 VTE Guidelines
Caprini Risk Assessment Model for surgical patients
Padua Prediction Score for medical patients

Interpretation Guide

Wells DVT: <=0 low probability (D-dimer to rule out), 1-2 moderate, >=3 high (ultrasound)
Wells PE: <=4 PE unlikely (D-dimer), >4 PE likely (CTPA)
Caprini: 0-1 very low (early ambulation), 2 low (consider prophylaxis), 3-4 moderate (prophylaxis recommended), >=5 high (prophylaxis + mechanical)
Padua: <4 low risk (no pharmacologic prophylaxis), >=4 high risk (anticoagulant prophylaxis)

Read the full file on GitHub · 62 lines

Files

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.

references/wells-caprini-scoring.md 4.7 KB

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 · 62 lines · 78 tokens per session scan A a42c0a31fb7f

Subscribe to this mod's changes

langcare-vte-risk is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 78 tokens to every session and 733 once invoked, about $0.0003 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.

Scientific

langcare-vte-risk next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
langcare-vte-risklangcare/langcare-mcp-fhir	Skill	71	6mo ago	MIT	A	78	Claude Code, Codex
instrument-data-to-allotropeanthropics/knowledge-work-plugins	Skill	35k	2d ago	Apache-2.0	A	123	Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	83	Claude Code
matlabK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	44	Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	71	Claude Code, Codex
research-engineerdavila7/claude-code-templates	Skill	33k	yesterday	MIT	A	43	Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmed	Skill	5.8k	yesterday	Apache-2.0	A	205	Claude Code