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 chronic-disease-registry-querygit 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/chronic-disease-registry-query)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/chronic-disease-registry-query"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/chronic-disease-registry-query/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/chronic-disease-registry-query"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/chronic-disease-registry-query.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 | $0.00133 | $0.03828 |
| Opus 5 | $0.00067 | $0.01914 |
| Sonnet 5 | $0.00027 | $0.00766 |
| Haiku 4.5 | $0.00013 | $0.00383 |
Grade A, and why
chronic-disease-registry-query 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 — 351 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chronic Disease Registry Query
Overview
Construct virtual disease registries by querying FHIR Condition, Observation, MedicationRequest, and Encounter resources. Support six registries: diabetes, hypertension, COPD, asthma, CHF, and CKD. For each registry, determine patient enrollment, severity/stage distribution, current treatment patterns, outcome metric trends, and intervention triggers. See references/registry-criteria.md for inclusion codes and stratification logic.
FHIR Resources Used
| Resource | Purpose | Key Fields |
|---|---|---|
| Condition | Registry inclusion, comorbidities, complications | code, clinicalStatus, severity, onsetDateTime, subject |
| Observation | Severity metrics, outcome tracking | code, valueQuantity, effectiveDateTime, component |
| MedicationRequest | Treatment pattern analysis | medicationCodeableConcept, status, dosageInstruction, authoredOn |
| Encounter | Visit frequency, hospitalization tracking | class, status, period, reasonCode, subject |
| Patient | Demographics, age/sex stratification | birthDate, gender, deceasedBoolean |
| Procedure | Surgical interventions, dialysis | code, performedDateTime, status |
| CarePlan | Care plan adherence | status, category, activity |
Instructions
Step 1: Select Registry
Determine which disease registry to query. Supported registries and their primary codes (see references/registry-criteria.md for full code sets):
| Registry | SNOMED Code | ICD-10 Prefix | Key Metric LOINC |
|---|---|---|---|
| Diabetes | 44054006, 46635009 | E10, E11 | 4548-4 (A1c) |
| Hypertension | 38341003 | I10, I11-I13 | 85354-9 (BP panel) |
| COPD | 13645005 | J44 | 19926-5 (FEV1/FVC) |
| Asthma | 195967001 | J45 | 19926-5 (FEV1/FVC) |
| CHF | 42343007 | I50 | 42637-9 (BNP), 33762-6 (NT-proBNP) |
| CKD | 709044004 | N18 | 33914-3 (eGFR), 14959-1 (Microalbumin/Cr) |
Step 2: Build Registry Population
Query patients with the target condition:
Tool: fhir_search
resourceType: "Condition"
queryParams: "code=[snomed-code]&clinical-status=active&_count=200&_include=Condition:subject"
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 · 351 lines · 133 tokens per session scan A 9bb82079fbd2
chronic-disease-registry-query is a skill published in the GitHub repository langcare/langcare-mcp-fhir (55 stars, last pushed 5mo ago), licensed MIT. It adds 133 tokens to every session and 3,828 once invoked, about $0.0007 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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