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 renal-functiongit 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/renal-function)<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.
<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>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 | $0.00072 | $0.00862 |
| Opus 5.5 | $0.00029 | $0.00345 |
| Sonnet 5.5 | $0.00014 | $0.00172 |
| Haiku 4.5 | $0.00007 | $0.00086 |
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 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.
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
- Use
fhir_readto retrieve Patient demographics (age, gender, race for eGFR calculation context) - Use
fhir_searchto pull creatinine (LOINC 2160-0) and eGFR (LOINC 33914-3) trends over 12+ months - Use
fhir_searchto pull urine albumin/creatinine ratio (LOINC 14959-1) for albuminuria staging - Use
fhir_searchto pull electrolytes (K+, Ca++, phosphate, bicarb) and CBC (anemia of CKD) - Use
fhir_searchto pull active Condition resources for CKD staging documentation and comorbidities - Stage CKD per KDIGO criteria (see references/kdigo-staging.md): GFR category (G1-G5) and albuminuria category (A1-A3)
- Use
fhir_searchto pull active MedicationRequest resources; flag medications requiring renal dose adjustment - 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)
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.
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 · 72 tokens per session scan A 0d3cf113f2ac
langcare-renal-function is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 72 tokens to every session and 862 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.
langcare-renal-function compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| langcare-renal-functionlangcare/langcare-mcp-fhir | Skill | 71 | 6mo ago | MIT | A | 72 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |