langcare-renal-function

langcare-renal-function is a skill for Claude Code, Codex from langcare/langcare-mcp-fhir. It costs 72 tokens per session (862 once invoked), scanned A, original, MIT.

A kidney-function assessment tool that uses creatinine, estimated filtration rate, urine albumin, and related tests to classify chronic kidney disease. It also follows changes over time and checks medicines for kidney-related dose adjustments.

In plain words
What is it for?
Use it to stage chronic kidney disease, review filtration and urine-albumin trends, monitor electrolytes and anemia, calculate the rate of decline, and flag medicines needing dose review.
Why use it?
It helps clinicians see whether kidney function is stable or worsening and avoid overlooking medication changes needed when the kidneys work less effectively.

Skill for Claude CodeCodex

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

Good fit Use it to stage chronic kidney disease, review filtration and urine-albumin trends, monitor electrolytes and anemia, calculate the rate of decline, and flag medicines needing dose review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/langcare/langcare-mcp-fhir/renal-function
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 renal-function
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 langcare-renal-function

README.md
[![agentmods](https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/renal-function/github.svg)](https://agentmods.dev/skills/langcare/langcare-mcp-fhir/renal-function)
Your own site
<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/renal-function"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/renal-function/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 langcare-renal-function

Your own site · 80×15
<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/renal-function"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/renal-function.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 862 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 $0.00072 $0.00862
Opus 5 $0.00036 $0.00431
Sonnet 5 $0.00014 $0.00172
Haiku 4.5 $0.00007 $0.00086

Measured 11d ago against content hash 0d3cf113f2ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

langcare-renal-function 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 11d 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/renal-function/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.

Renal Function Dashboard

When to Use This Skill

Use when a clinician needs a comprehensive renal function assessment including CKD staging, progression trending, electrolyte monitoring, and medication dose adjustment recommendations.

Clinical Workflow

  1. Use fhir_read to retrieve Patient demographics (age, gender, race for eGFR calculation context)
  2. Use fhir_search to pull creatinine (LOINC 2160-0) and eGFR (LOINC 33914-3) trends over 12+ months
  3. Use fhir_search to pull urine albumin/creatinine ratio (LOINC 14959-1) for albuminuria staging
  4. Use fhir_search to pull electrolytes (K+, Ca++, phosphate, bicarb) and CBC (anemia of CKD)
  5. Use fhir_search to pull active Condition resources for CKD staging documentation and comorbidities
  6. Stage CKD per KDIGO criteria (see references/kdigo-staging.md): GFR category (G1-G5) and albuminuria category (A1-A3)
  7. Use fhir_search to pull active MedicationRequest resources; flag medications requiring renal dose adjustment
  8. Calculate rate of eGFR decline (mL/min/year); flag rapid decline (>5 mL/min/year)

FHIR Resources

  • Observation -- Creatinine (2160-0), eGFR (33914-3), BUN (3094-0), urine albumin/Cr (14959-1), electrolytes, CBC
  • Condition -- CKD staging, diabetes, hypertension
  • MedicationRequest -- Medications requiring renal dose adjustment
  • Patient -- Demographics for eGFR context

FHIR Query Examples

Pull eGFR Trend

fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&code=33914-3&_sort=date&_count=20")

Pull Urine Albumin/Creatinine Ratio

fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&code=14959-1&_sort=-date&_count=5")

Clinical Guidelines

  • KDIGO 2024 Clinical Practice Guideline for CKD Evaluation and Management
  • ADA Standards for diabetic kidney disease
  • ACC/AHA guidelines for CKD and cardiovascular risk

Interpretation Guide

  • CKD staging uses both GFR and albuminuria: G1-G5 x A1-A3 grid (see references/kdigo-staging.md)
  • Rate of decline: calculate from serial eGFR values; >5 mL/min/year is rapid progression warranting nephrology referral
  • Medication adjustments: flag metformin (contraindicated if eGFR <30), NSAIDs (avoid in CKD), ACEi/ARB (renal-protective but monitor K+ and Cr), gabapentin/pregabalin (dose reduce), DOACs (dose adjust per eGFR)
  • Anemia of CKD: check Hgb, iron studies; consider EPO if Hgb <10 and iron replete
  • Electrolyte monitoring: hyperkalemia (common with ACEi/ARB + CKD), hyperphosphatemia (CKD 4-5), metabolic acidosis (bicarb <22)

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.

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. 11d ago First seen · 61 lines · 72 tokens per session scan A 0d3cf113f2ac

Subscribe to this mod's changes

langcare-renal-function is a skill published in the GitHub repository langcare/langcare-mcp-fhir (55 stars, last pushed 5mo ago), licensed MIT. It adds 72 tokens to every session and 862 once invoked, about $0.0004 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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