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 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/panel-overview)<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.
<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>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 | $0.00029 | $0.00310 |
| Sonnet 5 | $0.00012 | $0.00124 |
| Haiku 4.5 | $0.00006 | $0.00062 |
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 12d 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 — 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_searchto pull Patient resources for the panel (filtered by managing organization, practitioner, or other criteria) - Aggregate demographics: age distribution, gender distribution, insurance mix
- Use
fhir_searchto pull Condition resources across the panel for disease prevalence (diabetes, HTN, CHF, COPD, CKD, depression) - Use
fhir_searchto pull recent Encounter resources for utilization patterns (visit frequency, ED visits, hospitalizations) - Use
fhir_searchto 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
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.
- 12d ago First seen · 57 lines · 58 tokens per session scan A 05b10a540333
langcare-panel-overview is a skill published in the GitHub repository langcare/langcare-mcp-fhir (55 stars, last pushed 5mo ago), licensed MIT. It adds 58 tokens to every session and 620 once invoked, about $0.0003 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 2026-08-30.
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