What is langcare-diabetes-panel?

A focused review of diabetes-related test results using guidance from the American Diabetes Association. It covers blood sugar, long-term blood-sugar control, cholesterol, kidney tests, and urine albumin over time.

Use it to review HbA1c and glucose trends, check lipid and kidney results, assess diabetes medicines and complications, compare results with care targets, and identify missing monitoring.

It helps clinicians see whether diabetes is controlled, identify complications or monitoring gaps, and notice tests that are overdue.

langcare-diabetes-panel — 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 diabetes-panel

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/diabetes-panel/github.svg)](https://agentmods.dev/skills/langcare/langcare-mcp-fhir/diabetes-panel)

Your own site

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

Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 810 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	$0.00070	$0.00810
Opus 5.5	$0.00028	$0.00324
Sonnet 5.5	$0.00014	$0.00162
Haiku 4.5	$0.00007	$0.00081

Measured 2mo ago against content hash 4a1548f2552c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

langcare-diabetes-panel 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/lab-diagnostics/diabetes-panel/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Diabetes Panel Review

When to Use This Skill

Use when a clinician needs a focused diabetes laboratory review with ADA guideline-based interpretation, trend analysis, and gap identification.

Clinical Workflow

Use fhir_read to retrieve Patient demographics (age for A1c target individualization)
Use fhir_search to pull HbA1c results (LOINC 4548-4) over the past 2 years for trending
Use fhir_search to pull fasting glucose, random glucose, lipid panel, renal function (creatinine, eGFR), urine albumin/creatinine ratio
Use fhir_search to pull active Condition resources for diabetes type, complications (retinopathy, nephropathy, neuropathy)
Use fhir_search to pull active MedicationRequest resources for diabetes medications
Evaluate against ADA Standards of Care (see references/ada-standards.md): A1c target, lipid goals, renal monitoring, eye exam status
Calculate time since last A1c, last lipid panel, last urine albumin -- flag if overdue
Present structured diabetes dashboard with trends, goal attainment, and recommended actions

FHIR Resources

Observation -- HbA1c (4548-4), glucose (2345-7), lipids (57698-3), creatinine (2160-0), eGFR (33914-3), urine albumin/Cr (14959-1)
Condition -- Diabetes type, complications
MedicationRequest -- Diabetes medications (metformin, insulin, GLP-1 RA, SGLT2i, sulfonylureas)
Procedure -- Dilated eye exam (SNOMED 252891009)

FHIR Query Examples

Pull A1c Trend (2 years)

fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&code=4548-4&date=ge[2-years-ago]&_sort=date")

Pull Urine Albumin

fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&code=14959-1&_sort=-date&_count=3")

Clinical Guidelines

ADA Standards of Medical Care in Diabetes (updated annually)
KDIGO guidelines for diabetic kidney disease
ACC/AHA lipid management in diabetes

Interpretation Guide

A1c targets: <7.0% for most adults, <8.0% for elderly/high hypoglycemia risk, <6.5% for newly diagnosed without hypoglycemia risk
A1c monitoring frequency: every 3 months if above target, every 6 months if stable at target
Lipid goals with diabetes: LDL <100 (no ASCVD), <70 (with ASCVD or high risk)
Urine albumin staging: <30 mg/g normal, 30-300 moderately increased (microalbuminuria), >300 severely increased (macroalbuminuria)
Annual screening requirements: urine albumin, lipid panel, comprehensive metabolic panel, dilated eye exam

Read the full file on GitHub · 61 lines

Files

What ships with it

1 file 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.

references/ada-standards.md 4.4 KB

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 · 61 lines · 70 tokens per session scan A 4a1548f2552c

Subscribe to this mod's changes

langcare-diabetes-panel is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 70 tokens to every session and 810 once invoked, about $0.0003 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.

Scientific

langcare-diabetes-panel next to 6 skills from other repositories
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langcare-diabetes-panellangcare/langcare-mcp-fhir	Skill	71	6mo ago	MIT	A	70	Claude Code, Codex
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