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 history-physicalgit 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/history-physical)<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.
<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>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 | $0.00081 | $0.00793 |
| Opus 5.5 | $0.00032 | $0.00317 |
| Sonnet 5.5 | $0.00016 | $0.00159 |
| Haiku 4.5 | $0.00008 | $0.00079 |
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.
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
- Use
fhir_readto retrieve Patient demographics, emergency contacts - Use
fhir_searchto retrieve the admitting Encounter (reasonCode, class=IMP) - Use
fhir_searchto pull all Condition resources: active problems (PMH), encounter diagnoses (admitting diagnosis) - Use
fhir_searchto pull Procedure resources for surgical history - Use
fhir_searchto pull active MedicationRequest and MedicationStatement for home medications - Use
fhir_searchto pull AllergyIntolerance resources - Use
fhir_searchto pull Observation resources: social history (category=social-history), vitals, labs - Use
fhir_searchto pull FamilyMemberHistory resources for family history - Assemble H&P in standard format: CC, HPI, PMH, PSH, Medications, Allergies, Social Hx, Family Hx, ROS, Physical Exam, Labs/Studies, Assessment, Plan
- Optionally use
fhir_createto 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)
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 · 75 lines · 81 tokens per session scan A 33d445b9b089
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.
langcare-history-physical compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| langcare-history-physicallangcare/langcare-mcp-fhir | Skill | 71 | 6mo ago | MIT | A | 81 | Claude Code, Codex |
| orbit-notionnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 117 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| apify-youtube-transcript-scrapersickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 48 | Claude Code |
| legal-holdanthropics/claude-for-legal | Skill | 9.9k | 3d ago | Apache-2.0 | A | 68 | Claude Code |
| ppt-reviewOrkas-AI/Orkas | Skill | 9.0k | yesterday | MIT | A | 2 | Claude Code, Codex |
| feishuHmbown/CodeWhale | Skill | 41k | 5d ago | MIT | A | 33 | Claude Code, Codex |