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 preoperative-lab-checklistgit 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/preoperative-lab-checklist)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/preoperative-lab-checklist"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/preoperative-lab-checklist/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/preoperative-lab-checklist"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/preoperative-lab-checklist.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 | $0.00103 | $0.03499 |
| Opus 5 | $0.00051 | $0.01750 |
| Sonnet 5 | $0.00021 | $0.00700 |
| Haiku 4.5 | $0.00010 | $0.00350 |
Grade A, and why
preoperative-lab-checklist 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 — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preoperative Lab Checklist
Overview
Evaluate preoperative laboratory readiness for a scheduled surgical procedure. Determine required labs based on procedure type (low/medium/high risk), patient comorbidities, ASA physical status classification, and current medications. Query existing Observation resources to identify which required labs are already available within acceptable timeframes. Generate ServiceRequest resources for missing labs. Assess anticoagulation status and bridging needs.
FHIR Resources Used
| Resource | Purpose | Key Fields |
|---|---|---|
| Procedure | Planned surgery details | code, status, performedDateTime |
| Condition | Patient comorbidities for risk stratification | code, clinicalStatus, category |
| Observation | Existing lab results | code, valueQuantity, effectiveDateTime, status |
| MedicationStatement | Current medications (anticoagulants, etc.) | medicationCodeableConcept, status, dosage |
| Patient | Demographics, age | birthDate, gender |
| ServiceRequest | Lab orders to create | code, intent, priority, subject |
Instructions
Step 1: Retrieve Patient Demographics and Planned Procedure
Tool: fhir_read
resourceType: "Patient"
id: "[patient-id]"
Extract age and gender. Age > 65 triggers additional requirements. Pregnancy-capable patients may need HCG.
Retrieve the planned procedure:
Tool: fhir_search
resourceType: "Procedure"
queryParams: "patient=[patient-id]&status=preparation&_sort=-date&_count=5"
If no Procedure with status preparation, check ServiceRequest for surgical orders:
Tool: fhir_search
resourceType: "ServiceRequest"
queryParams: "patient=[patient-id]&category=http://snomed.info/sct|387713003&status=active"
SNOMED 387713003 = Surgical procedure. Extract procedure type and planned date.
Step 2: Classify Surgical Risk
Based on the procedure code, classify into bleeding risk categories:
Low Risk (minimal blood loss expected):
- Cataract surgery, minor dermatologic procedures, endoscopy without biopsy, breast biopsy, hernia repair (laparoscopic)
What ships with it
2 files 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.
- 12d ago First seen · 292 lines · 103 tokens per session scan A 5b5a6663f719
preoperative-lab-checklist is a skill published in the GitHub repository langcare/langcare-mcp-fhir (55 stars, last pushed 5mo ago), licensed MIT. It adds 103 tokens to every session and 3,499 once invoked, about $0.0005 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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