langcare-history-physical

langcare-history-physical is a skill for Claude Code, Codex from langcare/langcare-mcp-fhir. It costs 81 tokens per session (793 once invoked), scanned A, original, MIT.

A comprehensive medical history and physical examination document generator for hospital admissions or first specialist consultations. It uses FHIR, a standard format for exchanging health records, to collect patient information.

In plain words
What is it for?
Creating an H&P with the presenting problem, current illness, medical and surgical history, medications, allergies, social and family history, review of systems, examination, tests, assessment, and plan.
Why use it?
It combines history, examination findings, test results, medications, allergies, and clinical context into one admission-style document. This reduces manual copying between records.

Skill for Claude CodeCodex

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

Good fit Creating an H&P with the presenting problem, current illness, medical and surgical history, medications, allergies, social and family history, review of systems, examination, tests, assessment, and plan.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/history-physical"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/history-physical.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 793 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 $0.00081 $0.00793
Opus 5.5 $0.00032 $0.00317
Sonnet 5.5 $0.00016 $0.00159
Haiku 4.5 $0.00008 $0.00079

Measured 2mo ago against content hash 33d445b9b089, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

langcare-history-physical 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/documentation/history-physical/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

History and Physical Generator

When to Use This Skill

Use when a clinician needs a comprehensive H&P document for hospital admission or initial specialist consultation.

Clinical Workflow

  1. Use fhir_read to retrieve Patient demographics, emergency contacts
  2. Use fhir_search to retrieve the admitting Encounter (reasonCode, class=IMP)
  3. Use fhir_search to pull all Condition resources: active problems (PMH), encounter diagnoses (admitting diagnosis)
  4. Use fhir_search to pull Procedure resources for surgical history
  5. Use fhir_search to pull active MedicationRequest and MedicationStatement for home medications
  6. Use fhir_search to pull AllergyIntolerance resources
  7. Use fhir_search to pull Observation resources: social history (category=social-history), vitals, labs
  8. Use fhir_search to pull FamilyMemberHistory resources for family history
  9. Assemble H&P in standard format: CC, HPI, PMH, PSH, Medications, Allergies, Social Hx, Family Hx, ROS, Physical Exam, Labs/Studies, Assessment, Plan
  10. Optionally use fhir_create to persist as DocumentReference (LOINC 34117-2)

FHIR Resources

  • Encounter -- Admission context
  • Patient -- Demographics
  • Condition -- Active problems (PMH) and admitting diagnoses
  • Procedure -- Surgical history
  • MedicationRequest / MedicationStatement -- Medications
  • AllergyIntolerance -- Allergies
  • Observation -- Social history (smoking, alcohol, drugs), vitals, labs
  • FamilyMemberHistory -- Family medical history
  • DocumentReference -- Output: H&P document

FHIR Query Examples

Pull Surgical History

fhir_search(resourceType="Procedure", queryParams="patient=[patient-id]&_sort=-date&_count=50")

Pull Social History

fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&category=social-history")

Pull Family History

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

Clinical Guidelines

  • CMS H&P documentation requirements for hospital admissions
  • Joint Commission medical record standards
  • Specialty-specific H&P templates (surgical, medical, psychiatric)

Read the full file on GitHub · 75 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. 2mo ago First seen · 75 lines · 81 tokens per session scan A 33d445b9b089

Subscribe to this mod's changes

langcare-history-physical is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 81 tokens to every session and 793 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-history-physical compared with skills from other repositories

langcare-history-physical next to 6 skills from other repositories
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