chronic-disease-registry-query

chronic-disease-registry-query is a skill for Claude Code, Codex from langcare/langcare-mcp-fhir. It costs 133 tokens per session (3,828 once invoked), scanned A, original, MIT.

A tool for building and querying disease registries from FHIR data. A disease registry is a list of patients with a specific condition, such as diabetes or asthma, used for population tracking.

In plain words
What is it for?
It helps count patients, group them by disease severity, review treatment patterns, track outcomes, and identify possible interventions for six chronic conditions.
Why use it?
It avoids manually combining diagnoses, measurements, treatments, visits, and outcomes to understand a patient population.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps count patients, group them by disease severity, review treatment patterns, track outcomes, and identify possible interventions for six chronic conditions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/langcare/langcare-mcp-fhir/chronic-disease-registry-query
Install

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.

Any agent
npx skills add langcare/langcare-mcp-fhir --skill chronic-disease-registry-query
Clone the repo
git clone --depth 1 https://github.com/langcare/langcare-mcp-fhir

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for chronic-disease-registry-query

README.md
[![agentmods](https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/chronic-disease-registry-query/github.svg)](https://agentmods.dev/skills/langcare/langcare-mcp-fhir/chronic-disease-registry-query)
Your own site
<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.

agentmods 80×15 button for chronic-disease-registry-query

Your own site · 80×15
<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>
Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,828 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00133 $0.03828
Opus 5.5 $0.00053 $0.01531
Sonnet 5.5 $0.00027 $0.00766
Haiku 4.5 $0.00013 $0.00383

Measured 2mo ago against content hash 9bb82079fbd2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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.

skills/core/population-health/chronic-disease-registry-query/SKILL.md · 351 lines

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"

Read the full file on GitHub · 351 lines

Files

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.

Changes

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.

  1. 2mo ago First seen · 351 lines · 133 tokens per session scan A 9bb82079fbd2

Subscribe to this mod's changes

chronic-disease-registry-query is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 133 tokens to every session and 3,828 once invoked, about $0.0005 per session on Opus 5.5. 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.

Related

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chronic-disease-registry-query next to 6 skills from other repositories
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