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 soap-notesgit 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/soap-notes)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/soap-notes"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/soap-notes/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/soap-notes"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/soap-notes.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 | $0.00070 | $0.00881 |
| Opus 5 | $0.00035 | $0.00441 |
| Sonnet 5 | $0.00014 | $0.00176 |
| Haiku 4.5 | $0.00007 | $0.00088 |
Grade A, and why
langcare-soap-notes 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 12d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SOAP Note Generator
When to Use This Skill
Use when a clinician needs a structured Subjective-Objective-Assessment-Plan note generated from FHIR encounter data.
Clinical Workflow
- Use
fhir_readorfhir_searchto retrieve the Encounter (reasonCode for chief complaint, class for setting, period, participant for provider) - Use
fhir_readto retrieve Patient demographics for note header - Use
fhir_searchto pull vital signs (Observation category=vital-signs) during the encounter window - Use
fhir_searchto pull laboratory results (Observation category=laboratory) from encounter date - Use
fhir_searchto pull active MedicationRequest resources; separate pre-existing from new prescriptions by authoredOn - Use
fhir_searchto pull Condition resources for encounter diagnoses and active problem list - Use
fhir_searchto pull Procedure resources performed during the encounter - Use
fhir_searchto pull active AllergyIntolerance for allergy list - Assemble SOAP note with setting-appropriate format (AMB, EMER, IMP)
- Optionally use
fhir_createto persist as DocumentReference (LOINC 11506-3 for progress note)
FHIR Resources
- Encounter -- Visit context: class, type, reasonCode, period, participant
- Patient -- Demographics for note header
- Observation -- Vitals (category=vital-signs) and labs (category=laboratory)
- MedicationRequest -- Current medications and new prescriptions
- Condition -- Encounter diagnoses and active problems (ICD-10 codes)
- Procedure -- Procedures performed during visit
- AllergyIntolerance -- Allergy list
- DocumentReference -- Output: persisted note
FHIR Query Examples
Pull Encounter
fhir_search(resourceType="Encounter", queryParams="patient=[patient-id]&date=[YYYY-MM-DD]&_sort=-date&_count=1")
Pull Encounter Vitals
fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&category=vital-signs&date=ge[encounter-start]&date=le[encounter-end]&_sort=-date")
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.
- 12d ago First seen · 73 lines · 70 tokens per session scan A 2e755ae46a0e
langcare-soap-notes is a skill published in the GitHub repository langcare/langcare-mcp-fhir (55 stars, last pushed 5mo ago), licensed MIT. It adds 70 tokens to every session and 881 once invoked, about $0.0003 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 2026-08-30.
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