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 patient-panel-overviewgit 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/patient-panel-overview)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/patient-panel-overview"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/patient-panel-overview/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/patient-panel-overview"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/patient-panel-overview.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 | $0.00110 | $0.03471 |
| Opus 5 | $0.00055 | $0.01736 |
| Sonnet 5 | $0.00022 | $0.00694 |
| Haiku 4.5 | $0.00011 | $0.00347 |
Grade A, and why
patient-panel-overview 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 — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Patient Panel Overview
Overview
Query patient populations by chronic condition, aggregate clinical metrics across the cohort, stratify patients by risk level, and identify those needing priority outreach. Supports common chronic disease panels: diabetes, hypertension, heart failure, COPD, asthma, CKD, and depression. Produces summary statistics with actionable outreach lists.
FHIR Resources Used
| Resource | Purpose | Key Fields |
|---|---|---|
| Condition | Identify patients with target condition | code, clinicalStatus, subject, onsetDateTime |
| Patient | Demographics, age calculation | birthDate, gender, name, identifier |
| Observation | Lab values for aggregate metrics | code, valueQuantity, effectiveDateTime, status |
| Encounter | Recent visit tracking | class, status, period, subject |
| MedicationRequest | Treatment pattern analysis | medicationCodeableConcept, status, subject |
| Goal | Patient goal tracking | lifecycleStatus, target, achievementStatus |
Instructions
Step 1: Identify Target Cohort
Query patients with the target condition using SNOMED CT or ICD-10 codes. See references/panel-management.md for condition-specific codes.
For diabetes panel:
Tool: fhir_search
resourceType: "Condition"
queryParams: "code=http://snomed.info/sct|44054006&clinical-status=active&_count=200"
SNOMED 44054006 = Type 2 diabetes mellitus. Use _count=200 and paginate via _offset if needed.
For hypertension panel:
Tool: fhir_search
resourceType: "Condition"
queryParams: "code=http://snomed.info/sct|38341003&clinical-status=active&_count=200"
SNOMED 38341003 = Hypertensive disorder.
For CHF panel:
Tool: fhir_search
resourceType: "Condition"
queryParams: "code=http://snomed.info/sct|42343007&clinical-status=active&_count=200"
SNOMED 42343007 = Congestive heart failure.
If SNOMED search returns zero results, retry with ICD-10:
Tool: fhir_search
resourceType: "Condition"
queryParams: "code=http://hl7.org/fhir/sid/icd-10-cm|E11&clinical-status=active&_count=200"
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 · 314 lines · 110 tokens per session scan A 0812054575e3
patient-panel-overview is a skill published in the GitHub repository langcare/langcare-mcp-fhir (55 stars, last pushed 5mo ago), licensed MIT. It adds 110 tokens to every session and 3,471 once invoked, about $0.0006 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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