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 drug-interaction-checkergit 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/drug-interaction-checker)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/drug-interaction-checker"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/drug-interaction-checker/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/drug-interaction-checker"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/drug-interaction-checker.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 | $0.00089 | $0.02631 |
| Opus 5 | $0.00044 | $0.01316 |
| Sonnet 5 | $0.00018 | $0.00526 |
| Haiku 4.5 | $0.00009 | $0.00263 |
Grade A, and why
drug-interaction-checker 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 9d 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 — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Drug Interaction Checker
Overview
Pull all active medications for a patient, cross-reference each pair against known major drug-drug interaction databases, classify by severity (contraindicated, major, moderate, minor), identify CYP450 pathway conflicts, and suggest therapeutic alternatives when significant interactions are detected.
FHIR Resources Used
| Resource | Purpose | Key Fields |
|---|---|---|
| MedicationRequest | Active prescribed medications | status, medicationCodeableConcept, dosageInstruction |
| MedicationStatement | Patient-reported medications including OTC | status, medicationCodeableConcept, dosage |
| Patient | Patient demographics, age for risk stratification | birthDate, gender |
| Condition | Comorbidities affecting interaction severity | code, clinicalStatus |
| Observation | Renal/hepatic function affecting drug metabolism | code, valueQuantity |
| AllergyIntolerance | Cross-sensitivity patterns | code, reaction |
Instructions
Step 1: Verify Patient and Retrieve Demographics
Tool: fhir_read
resourceType: "Patient"
id: "[patient-id]"
Extract age, gender, weight if available. Age and organ function affect CYP450 metabolism rates.
Step 2: Pull All Active Medications
2a: Prescribed medications
Tool: fhir_search
resourceType: "MedicationRequest"
queryParams: "patient=[patient-id]&status=active&_count=100"
2b: Patient-reported medications (includes OTC, supplements)
Tool: fhir_search
resourceType: "MedicationStatement"
queryParams: "patient=[patient-id]&status=active&_count=100"
Merge both lists. Deduplicate by RxNorm code (system: http://www.nlm.nih.gov/research/umls/rxnorm).
Step 3: Pull Renal and Hepatic Function
Tool: fhir_search
resourceType: "Observation"
queryParams: "patient=[patient-id]&code=33914-3,48642-3,69405-9,77147-7&_sort=-date&_count=4"
LOINC codes:
- 33914-3: eGFR (CKD-EPI)
- 48642-3: eGFR for African American
- 69405-9: Glomerular filtration rate
- 77147-7: eGFR (CKD-EPI 2021)
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.
- 9d ago First seen · 264 lines · 89 tokens per session scan A 7d5f4028c36e
drug-interaction-checker is a skill published in the GitHub repository langcare/langcare-mcp-fhir (55 stars, last pushed 5mo ago), licensed MIT. It adds 89 tokens to every session and 2,631 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 2026-09-03.
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