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 clinical-summary-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/clinical-summary-generator)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/clinical-summary-generator"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/clinical-summary-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/clinical-summary-generator"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/clinical-summary-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 | $0.00102 | $0.03425 |
| Opus 5 | $0.00051 | $0.01713 |
| Sonnet 5 | $0.00020 | $0.00685 |
| Haiku 4.5 | $0.00010 | $0.00343 |
Grade A, and why
clinical-summary-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 9d 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 — 393 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clinical Summary Generator
Overview
Generate a comprehensive Continuity of Care Document (CCD)-style summary by pulling data from multiple FHIR resource types. Organize output following US Core required sections and C-CDA document structure. This skill aggregates active problems, current medications, allergies, recent labs, recent procedures, immunizations, and vital signs into a single consolidated view suitable for care transitions, referrals, or chart review.
FHIR Resources Used
| Resource | Purpose | Search Parameters |
|---|---|---|
| Patient | Demographics header | Direct read by ID |
| Condition | Active problem list | patient, clinical-status=active |
| MedicationRequest | Current medications | patient, status=active |
| AllergyIntolerance | Allergy list | patient, clinical-status=active |
| Observation | Labs and vitals | patient, category, date |
| Procedure | Recent procedures | patient, date |
| Immunization | Vaccination history | patient, status=completed |
| Encounter | Recent visits | patient, date |
| CarePlan | Active care plans | patient, status=active |
Instructions
Step 1: Retrieve Patient Demographics
Tool: fhir_read
resourceType: "Patient"
id: "[patient-id]"
Extract: full name, DOB, age, gender, race/ethnicity (US Core extensions), preferred language, MRN.
Step 2: Pull Active Conditions
Tool: fhir_search
resourceType: "Condition"
queryParams: "patient=[patient-id]&clinical-status=active"
For each Condition:
- Extract
code.coding(prefer SNOMED CT display, fall back to ICD-10code.codingwheresystem=http://hl7.org/fhir/sid/icd-10-cm) - Record
onsetDateTimeoronsetPeriod.start - Note
verificationStatus(confirmed, unconfirmed, provisional, differential) - Group by category: chronic vs acute, problem-list-item vs encounter-diagnosis
Step 3: Pull Current Medications
Tool: fhir_search
resourceType: "MedicationRequest"
queryParams: "patient=[patient-id]&status=active"
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.
- 9d ago First seen · 393 lines · 102 tokens per session scan A 4e8ec73be41f
clinical-summary-generator is a skill published in the GitHub repository langcare/langcare-mcp-fhir (55 stars, last pushed 5mo ago), licensed MIT. It adds 102 tokens to every session and 3,425 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 2026-09-03.
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