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 medication-reconciliationgit 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/medication-reconciliation)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/medication-reconciliation"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/medication-reconciliation/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/medication-reconciliation"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/medication-reconciliation.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 | $0.00063 | $0.00775 |
| Opus 5.5 | $0.00025 | $0.00310 |
| Sonnet 5.5 | $0.00013 | $0.00155 |
| Haiku 4.5 | $0.00006 | $0.00077 |
Grade A, and why
langcare-medication-reconciliation 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Medication Reconciliation
When to Use This Skill
Use when a clinician needs to reconcile medications across care settings per Joint Commission NPSG.03.06.01 -- admission, discharge, or transfer.
Clinical Workflow
- Use
fhir_searchto pull active MedicationRequest resources (prescribed orders) withstatus=active,on-hold - Use
fhir_searchto pull active MedicationStatement resources (patient-reported home medications) - Use
fhir_searchto pull MedicationAdministration resources (inpatient administered medications) filtered by admission date - Use
fhir_searchto pull active AllergyIntolerance and Condition resources for safety cross-reference - Normalize all medications to RxNorm codes; build unified comparison table with columns: Medication, Dose, Frequency, Route, Source, Status
- Identify discrepancies: duplicates, therapeutic duplications (same drug class), dose changes across sources, discontinued meds still listed active, medications with no matching indication, allergy conflicts
- Flag ISMP high-alert medications (anticoagulants, insulin, opioids, chemotherapy) for extra scrutiny
- Present reconciliation report and use
fhir_updateto update MedicationStatement/MedicationRequest status if authorized
FHIR Resources
- MedicationRequest -- Prescribed orders: status, intent, medicationCodeableConcept, dosageInstruction, authoredOn
- MedicationStatement -- Patient-reported medications: status, medicationCodeableConcept, dosage, informationSource
- MedicationAdministration -- Inpatient administrations: status, medicationCodeableConcept, dosage, effectiveDateTime
- AllergyIntolerance -- Drug allergy cross-check
- Condition -- Validate medication indications
FHIR Query Examples
Pull Active Prescriptions
fhir_search(resourceType="MedicationRequest", queryParams="patient=[patient-id]&status=active,on-hold&_include=MedicationRequest:medication&_count=100")
Pull Patient-Reported Medications
fhir_search(resourceType="MedicationStatement", queryParams="patient=[patient-id]&status=active,intended,on-hold&_count=100")
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.
- 2mo ago First seen · 65 lines · 63 tokens per session scan A cc378f321eb2
langcare-medication-reconciliation is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 63 tokens to every session and 775 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-medication-reconciliation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| langcare-medication-reconciliationlangcare/langcare-mcp-fhir | Skill | 71 | 6mo ago | MIT | A | 63 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |