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-note-generatorgit 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-note-generator)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/soap-note-generator"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/soap-note-generator/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-note-generator"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/soap-note-generator.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 | $0.00097 | $0.03395 |
| Opus 5 | $0.00048 | $0.01698 |
| Sonnet 5 | $0.00019 | $0.00679 |
| Haiku 4.5 | $0.00010 | $0.00340 |
Grade A, and why
soap-note-generator 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 — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SOAP Note Generator
Overview
Generate structured SOAP (Subjective, Objective, Assessment, Plan) notes from FHIR encounter data. Pull chief complaint, history of present illness context, vital signs, laboratory results, active medications, active conditions, and procedures performed during the encounter. Support specialty-specific formatting for primary care, emergency department, and inpatient encounters. Optionally create a DocumentReference resource to persist the generated note.
FHIR Resources Used
| Resource | Purpose | Key Fields |
|---|---|---|
| Encounter | Visit context, chief complaint, type | status, class, type, reasonCode, period, participant |
| Condition | Active problems, encounter diagnoses | code, clinicalStatus, verificationStatus, encounter |
| Observation | Vitals, labs, clinical findings | code, value[x], effectiveDateTime, category |
| MedicationRequest | Current medications, new prescriptions | medicationCodeableConcept, status, authoredOn, dosageInstruction |
| Procedure | Procedures performed during encounter | code, status, performedDateTime, outcome |
| AllergyIntolerance | Allergy list for note context | code, clinicalStatus, reaction |
| Patient | Demographics for note header | name, birthDate, gender, identifier |
| DocumentReference | Persist the generated note | type, content, context, date |
Instructions
Step 1: Retrieve Encounter Context
Tool: fhir_read
resourceType: "Encounter"
id: "[encounter-id]"
Extract:
- Chief complaint:
reasonCode[0].textorreasonCode[0].coding[0].display - Visit type:
type[0].coding[0].display(e.g., Office Visit, ED Visit, Follow-up) - Encounter class:
class.code(AMB = ambulatory, EMER = emergency, IMP = inpatient) - Period:
period.startandperiod.end - Attending:
participantwheretype.coding.code= "ATND"
If no encounter ID is provided, search by patient and date:
Tool: fhir_search
resourceType: "Encounter"
queryParams: "patient=[patient-id]&date=[YYYY-MM-DD]&_sort=-date&_count=1"
What ships with it
2 files 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.
- 12d ago First seen · 343 lines · 97 tokens per session scan A 66b10d8545e5
soap-note-generator is a skill published in the GitHub repository langcare/langcare-mcp-fhir (55 stars, last pushed 5mo ago), licensed MIT. It adds 97 tokens to every session and 3,395 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 2026-08-30.
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