What is langcare-panel-overview?

A practice-level overview that calculates statistics about a group of patients, including demographics, conditions, risk levels, visits, hospital use, and selected health measures.

It helps practices understand their patient population, compare disease prevalence, identify higher-risk groups, and review utilization and outcome measures.

It turns records from many patients into a single view, making patterns in illness, outcomes, and healthcare use easier to review.

langcare-panel-overview — Skill for Claude Code and Codex by langcare

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 panel-overview

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/panel-overview/github.svg)](https://agentmods.dev/skills/langcare/langcare-mcp-fhir/panel-overview)

Your own site

<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/panel-overview"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/panel-overview"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/panel-overview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 620 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.

Model	Per session	Once invoked
Fable 5.1	$0.00058	$0.00620
Opus 5.5	$0.00023	$0.00248
Sonnet 5.5	$0.00012	$0.00124
Haiku 4.5	$0.00006	$0.00062

Measured 2mo ago against content hash 05b10a540333, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

langcare-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 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.

cma/skills/population-health/panel-overview/SKILL.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Patient Panel Overview

When to Use This Skill

Use when a clinician or practice manager needs aggregate statistics about a patient panel including size, demographics, disease prevalence, and risk distribution.

Clinical Workflow

Use fhir_search to pull Patient resources for the panel (filtered by managing organization, practitioner, or other criteria)
Aggregate demographics: age distribution, gender distribution, insurance mix
Use fhir_search to pull Condition resources across the panel for disease prevalence (diabetes, HTN, CHF, COPD, CKD, depression)
Use fhir_search to pull recent Encounter resources for utilization patterns (visit frequency, ED visits, hospitalizations)
Use fhir_search to pull recent Observation resources for key outcome metrics (A1c distribution, BP control rates)
Present dashboard with panel demographics, top diagnoses by prevalence, risk stratification tiers, and utilization summary

FHIR Resources

Patient -- Panel demographics: birthDate, gender, managing organization
Condition -- Disease prevalence across panel
Encounter -- Visit utilization patterns
Observation -- Outcome metrics (A1c, BP)

FHIR Query Examples

Pull Panel Patients

fhir_search(resourceType="Patient", queryParams="general-practitioner=[practitioner-id]&_count=500")

Pull Diabetes Prevalence

fhir_search(resourceType="Condition", queryParams="code=http://snomed.info/sct|44054006&clinical-status=active&_count=500")

Clinical Guidelines

PCMH (Patient-Centered Medical Home) panel management standards
CMS TCM and Chronic Care Management documentation
Population health management best practices

Interpretation Guide

Present demographics as counts and percentages: age bands (0-17, 18-39, 40-64, 65+), gender, insurance type (commercial, Medicare, Medicaid, uninsured)
Disease prevalence as percentage of panel with active diagnosis
Risk stratification: low (0-1 chronic conditions), moderate (2-3), high (4+), rising risk (2+ ED visits in 6 months)
Utilization: average visits per patient per year, ED visit rate, hospitalization rate, no-show rate

Read the full file on GitHub · 57 lines

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.

2mo ago First seen · 57 lines · 58 tokens per session scan A 05b10a540333

Subscribe to this mod's changes

langcare-panel-overview is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 58 tokens to every session and 620 once invoked, about $0.0002 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 2026-08-30.

Analytics and metrics

langcare-panel-overview next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
langcare-panel-overviewlangcare/langcare-mcp-fhir	Skill	71	6mo ago	MIT	A	58	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code