patient-demographics-summary

patient-demographics-summary is a skill for Claude Code, Codex from langcare/langcare-mcp-fhir. It costs 94 tokens per session (2,246 once invoked), scanned A, original, MIT.

A tool for collecting a patient's demographic, contact, emergency-contact, insurance, language, communication, and advance-directive details from FHIR records.

In plain words
What is it for?
It helps create a consolidated patient-information summary and flag incomplete critical details.
Why use it?
It removes the need to search through several healthcare records and helps reveal missing information that could affect care.

Skill for Claude CodeCodex

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

Good fit It helps create a consolidated patient-information summary and flag incomplete critical details.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/patient-demographics-summary"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/patient-demographics-summary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,246 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 $0.00094 $0.02246
Opus 5 $0.00047 $0.01123
Sonnet 5 $0.00019 $0.00449
Haiku 4.5 $0.00009 $0.00225

Measured 9d ago against content hash 90ddbade632d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

patient-demographics-summary 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 9d 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/patient-data-summary/patient-demographics-summary/SKILL.md · 278 lines

How it starts

The opening of the file, as written. The whole thing — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Patient Demographics Summary

Overview

Pull structured demographic data from FHIR Patient, RelatedPerson, and Coverage resources. Format into a consolidated summary including identifiers, contact information, emergency contacts, insurance, preferred language, communication preferences, and advance directive status. Flag missing critical data elements that may affect care delivery.

FHIR Resources Used

Resource Purpose Key Fields
Patient Core demographics name, birthDate, gender, address, telecom, communication, identifier, extension
RelatedPerson Emergency contacts, guarantors name, telecom, relationship, period
Coverage Insurance information status, type, subscriberId, payor, period, class

Instructions

Step 1: Retrieve Patient Resource

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

Extract the following fields:

  • Identifiers: MRN (identifier where type.coding.code = "MR"), SSN (last 4 only), driver's license
  • Name: name array -- use name.use = "official" as primary; note maiden names (use = "maiden")
  • Birth Date: birthDate (calculate age)
  • Gender: gender (administrative gender)
  • Race/Ethnicity: US Core extensions at extension where URL = http://hl7.org/fhir/us/core/StructureDefinition/us-core-race and http://hl7.org/fhir/us/core/StructureDefinition/us-core-ethnicity
  • Address: address array -- identify use = "home" vs "work" vs "temp"
  • Telecom: telecom array -- phone (system = "phone"), email (system = "email"), fax
  • Preferred Language: communication array where preferred = true
  • Marital Status: maritalStatus
  • Deceased: deceasedBoolean or deceasedDateTime
  • Managing Organization: managingOrganization

Step 2: Retrieve Emergency Contacts and Related Persons

Tool: fhir_search
resourceType: "RelatedPerson"
queryParams: "patient=[patient-id]"

For each RelatedPerson:

  • Extract name, relationship type (relationship.coding.code), phone, email
  • Check period to confirm the relationship is current (no end date or end > today)
  • Identify relationship roles: emergency contact, next of kin, guarantor, power of attorney

Read the full file on GitHub · 278 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. 9d ago First seen · 278 lines · 94 tokens per session scan A 90ddbade632d

Subscribe to this mod's changes

patient-demographics-summary is a skill published in the GitHub repository langcare/langcare-mcp-fhir (55 stars, last pushed 5mo ago), licensed MIT. It adds 94 tokens to every session and 2,246 once invoked, about $0.0005 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 2026-09-03.

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