langcare-demographics

langcare-demographics is a skill for Claude Code, Codex from langcare/langcare-mcp-fhir. It costs 64 tokens per session (782 once invoked), scanned A, original, MIT.

A patient-information summary tool that gathers contact details, emergency contacts, insurance, preferred language, and advance-directive information from healthcare records.

In plain words
What is it for?
It helps staff prepare patient profiles, confirm contact and insurance details, find emergency contacts, and check whether advance-care documents are recorded.
Why use it?
It puts important non-clinical details in one place and highlights missing information that may affect communication or care.

Skill for Claude CodeCodex

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

Good fit It helps staff prepare patient profiles, confirm contact and insurance details, find emergency contacts, and check whether advance-care documents are recorded.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/langcare/langcare-mcp-fhir/demographics
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 demographics
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-demographics

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/demographics"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/demographics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 782 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 $0.00064 $0.00782
Opus 5.5 $0.00026 $0.00313
Sonnet 5.5 $0.00013 $0.00156
Haiku 4.5 $0.00006 $0.00078

Measured 2mo ago against content hash d8edafc99580, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

langcare-demographics 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.

cma/skills/patient-data/demographics/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Patient Demographics Summary

When to Use This Skill

Use when a clinician needs a consolidated view of non-clinical patient data including identifiers, contact information, emergency contacts, insurance coverage, preferred language, and advance directive status.

Clinical Workflow

  1. Use fhir_read to retrieve the Patient resource and extract identifiers, name, DOB, gender, race/ethnicity (US Core extensions), address, telecom, preferred language, and marital status
  2. Use fhir_search to find RelatedPerson resources linked to the patient for emergency contacts, next of kin, and guarantors
  3. Use fhir_search to retrieve active Coverage resources for insurance information including plan name, group, subscriber ID, payor, and coverage order
  4. Use fhir_search to check for advance directives via Consent (category=acd) or DocumentReference (LOINC 64298-3)
  5. Flag missing critical data: no emergency contact, no active insurance, no preferred language, no phone/email, no address, no advance directive on file

FHIR Resources

  • Patient -- Core demographics: name, birthDate, gender, address, telecom, communication, identifier, extension (us-core-race, us-core-ethnicity)
  • RelatedPerson -- Emergency contacts, next of kin, guarantors: name, telecom, relationship, period
  • Coverage -- Insurance information: status, type, subscriberId, payor, period, class, order
  • Consent -- Advance directives: category, status, dateTime
  • DocumentReference -- Advance directive documents: type (LOINC 64298-3), status

FHIR Query Examples

Retrieve Patient Resource

fhir_read(resourceType="Patient", id="[patient-id]")

Find Emergency Contacts

fhir_search(resourceType="RelatedPerson", queryParams="patient=[patient-id]")

Retrieve Active Insurance

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

Check Advance Directives

fhir_search(resourceType="Consent", queryParams="patient=[patient-id]&category=http://terminology.hl7.org/CodeSystem/consentcategorycodes|acd")

Read the full file on GitHub · 69 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.

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. 2mo ago First seen · 69 lines · 64 tokens per session scan A d8edafc99580

Subscribe to this mod's changes

langcare-demographics is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 64 tokens to every session and 782 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.

Related

langcare-demographics compared with skills from other repositories

langcare-demographics next to 6 skills from other repositories
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langcare-demographicslangcare/langcare-mcp-fhirSkill716mo agoMITA64Claude Code, Codex
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