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.
npx skills add langcare/langcare-mcp-fhir --skill patient-demographics-summarygit clone --depth 1 https://github.com/langcare/langcare-mcp-fhirWrote 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.
[](https://agentmods.dev/skills/langcare/langcare-mcp-fhir/patient-demographics-summary)<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.
<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>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 | $0.00094 | $0.02246 |
| Opus 5.5 | $0.00038 | $0.00898 |
| Sonnet 5.5 | $0.00019 | $0.00449 |
| Haiku 4.5 | $0.00009 | $0.00225 |
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 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.
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 (
identifierwheretype.coding.code= "MR"), SSN (last 4 only), driver's license - Name:
namearray -- usename.use= "official" as primary; note maiden names (use= "maiden") - Birth Date:
birthDate(calculate age) - Gender:
gender(administrative gender) - Race/Ethnicity: US Core extensions at
extensionwhere URL =http://hl7.org/fhir/us/core/StructureDefinition/us-core-raceandhttp://hl7.org/fhir/us/core/StructureDefinition/us-core-ethnicity - Address:
addressarray -- identifyuse= "home" vs "work" vs "temp" - Telecom:
telecomarray -- phone (system= "phone"), email (system= "email"), fax - Preferred Language:
communicationarray wherepreferred= true - Marital Status:
maritalStatus - Deceased:
deceasedBooleanordeceasedDateTime - 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
periodto confirm the relationship is current (noenddate orend> today) - Identify relationship roles: emergency contact, next of kin, guarantor, power of attorney
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.
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 · 278 lines · 94 tokens per session scan A 90ddbade632d
patient-demographics-summary is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 94 tokens to every session and 2,246 once invoked, about $0.0004 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 2026-09-03.
patient-demographics-summary compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| patient-demographics-summarylangcare/langcare-mcp-fhir | Skill | 71 | 6mo ago | MIT | A | 94 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| azure-mgmt-botservice-dotnetmicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 78 | Claude Code |
| fastapi-router-pymicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 46 | Claude Code |
| dev-runtimelangwatch/langwatch | Skill | 5.0k | yesterday | Apache-2.0 | A | 172 | Claude Code |
| api-designericrisco/rsc-harness | Skill | 503 | 2d ago | MIT | A | 105 | Claude Code, Codex |
| migrate-segw-to-raparc-mcp/arc-1 | Skill | 252 | yesterday | MIT | A | 106 | Claude Code |