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-interactionsgit 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-interactions)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/drug-interactions"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/drug-interactions/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-interactions"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/drug-interactions.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 | $0.00059 | $0.00705 |
| Opus 5.5 | $0.00024 | $0.00282 |
| Sonnet 5.5 | $0.00012 | $0.00141 |
| Haiku 4.5 | $0.00006 | $0.00071 |
Grade A, and why
langcare-drug-interactions 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Drug Interaction Checker
When to Use This Skill
Use when a clinician needs to evaluate the active medication list for drug-drug interactions, particularly before prescribing a new medication or during medication reconciliation.
Clinical Workflow
- Use
fhir_searchto pull all active MedicationRequest and MedicationStatement resources - Use
fhir_searchto pull active AllergyIntolerance for drug allergy cross-check - Use
fhir_searchto pull relevant Observation resources (renal function, hepatic function) for dose adjustment context - Map each medication to its CYP450 substrate/inhibitor/inducer profile (see references/cyp450-table.md)
- Identify pharmacokinetic interactions (CYP inhibition/induction affecting drug levels) and pharmacodynamic interactions (additive/synergistic effects: QT prolongation, serotonin syndrome, bleeding risk, CNS depression)
- Classify interactions by severity: contraindicated, major, moderate, minor
- Present findings with mechanism, clinical significance, and recommended action
FHIR Resources
- MedicationRequest -- Active prescriptions with medication codes
- MedicationStatement -- Patient-reported medications including OTC and supplements
- AllergyIntolerance -- Drug allergy cross-reference
- Observation -- Renal function (CrCl/eGFR), hepatic function (ALT, AST) for dose adjustment context
FHIR Query Examples
Pull All Active Medications
fhir_search(resourceType="MedicationRequest", queryParams="patient=[patient-id]&status=active&_count=100")
Pull Patient-Reported Medications (OTC, supplements)
fhir_search(resourceType="MedicationStatement", queryParams="patient=[patient-id]&status=active&_count=100")
Pull Renal Function for Dose Context
fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&code=33914-3&_sort=-date&_count=1")
Clinical Guidelines
- FDA drug interaction guidance for labeling
- AHA/ACC guidelines on QT-prolonging drug combinations
- Beers Criteria for potentially inappropriate drug combinations in elderly
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 · 64 lines · 59 tokens per session scan A 971124dfe094
langcare-drug-interactions is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 59 tokens to every session and 705 once invoked, about $0.0002 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-drug-interactions compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| langcare-drug-interactionslangcare/langcare-mcp-fhir | Skill | 71 | 6mo ago | MIT | A | 59 | 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 |