langcare-referrals

langcare-referrals is a skill for Claude Code, Codex from langcare/langcare-mcp-fhir. It costs 58 tokens per session (625 once invoked), scanned A, original, MIT.

A clinical referral writer that gathers relevant patient details from a FHIR health record and prepares a structured request for a specialist. FHIR is a standard format for exchanging healthcare information.

In plain words
What is it for?
Use it to prepare specialist referrals or consultation requests, including the clinical reason, relevant lab results and vital signs, current medicines, previous procedures, and insurance details.
Why use it?
It removes the need to search through separate clinical records and assemble the referral by hand. It keeps the diagnosis, supporting results, medicines, prior treatments, demographics, and insurance information together.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to prepare specialist referrals or consultation requests, including the clinical reason, relevant lab results and vital signs, current medicines, previous procedures, and insurance details.

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Install with agentmods
npx agentmods add skills/langcare/langcare-mcp-fhir/referrals
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 referrals
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.

agentmods badge for langcare-referrals

README.md
[![agentmods](https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/referrals/github.svg)](https://agentmods.dev/skills/langcare/langcare-mcp-fhir/referrals)
Your own site
<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/referrals"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/referrals/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.

agentmods 80×15 button for langcare-referrals

Your own site · 80×15
<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/referrals"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/referrals.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 625 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00058 $0.00625
Opus 5 $0.00029 $0.00313
Sonnet 5 $0.00012 $0.00125
Haiku 4.5 $0.00006 $0.00063

Measured 12d ago against content hash 0615dd799d9e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

langcare-referrals 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.

cma/skills/care-coordination/referrals/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Referral Generator

When to Use This Skill

Use when a clinician needs to create a specialist referral with supporting clinical documentation compiled from the patient's FHIR record.

Clinical Workflow

  1. Use fhir_read to retrieve Patient demographics and insurance (Coverage) for referral header
  2. Use fhir_search to pull relevant Condition resources for the referral indication
  3. Use fhir_search to pull relevant Observation resources (labs, vitals) supporting the referral
  4. Use fhir_search to pull active MedicationRequest resources for current treatment context
  5. Use fhir_search to pull relevant Procedure resources for prior interventions
  6. Compile referral package: demographics, insurance, referring diagnosis, clinical question, relevant labs/vitals, current medications, prior treatments attempted
  7. Use fhir_create to create ServiceRequest resource with category=referral, reasonCode, and supportingInfo references

FHIR Resources

  • Patient -- Demographics for referral header
  • Coverage -- Insurance for authorization
  • Condition -- Referral indication and supporting diagnoses
  • Observation -- Relevant lab results and vitals
  • MedicationRequest -- Current medications
  • Procedure -- Prior related procedures
  • ServiceRequest -- Output: referral order

FHIR Query Examples

Create Referral Order

fhir_create(resourceType="ServiceRequest", resource={"resourceType":"ServiceRequest","status":"active","intent":"order","category":[{"coding":[{"system":"http://snomed.info/sct","code":"3457005","display":"Patient referral"}]}],"code":{"text":"[specialty] referral"},"subject":{"reference":"Patient/[patient-id]"},"reasonCode":[{"text":"[referral reason]"}]})

Clinical Guidelines

  • CMS referral and prior authorization requirements
  • Specialty-specific referral criteria (e.g., nephrology at eGFR <30, cardiology for new murmur/arrhythmia)

Interpretation Guide

  • Structure the referral with: reason for referral (clinical question), relevant history, current medications, pertinent labs, prior treatments, specific request (evaluation, co-management, procedure)
  • Include insurance authorization requirements if applicable
  • Flag urgent referrals: conditions requiring expedited evaluation (suspected malignancy, acute decompensation, new neurologic deficit)

Read the full file on GitHub · 55 lines

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.

  1. 12d ago First seen · 55 lines · 58 tokens per session scan A 0615dd799d9e

Subscribe to this mod's changes

langcare-referrals is a skill published in the GitHub repository langcare/langcare-mcp-fhir (55 stars, last pushed 5mo ago), licensed MIT. It adds 58 tokens to every session and 625 once invoked, about $0.0003 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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