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-adherence-assessmentgit 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-adherence-assessment)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/medication-adherence-assessment"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/medication-adherence-assessment/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-adherence-assessment"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/medication-adherence-assessment.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 | $0.03003 |
| Opus 5 | $0.00044 | $0.01502 |
| Sonnet 5 | $0.00018 | $0.00601 |
| Haiku 4.5 | $0.00009 | $0.00300 |
Grade A, and why
medication-adherence-assessment 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 — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Medication Adherence Assessment
Overview
Analyze medication fill patterns using MedicationDispense and MedicationRequest records. Calculate Medication Possession Ratio (MPR) and Proportion of Days Covered (PDC) for each chronic medication. Flag gaps in refills greater than 7 days, early refill patterns suggesting hoarding, and polypharmacy burden exceeding 10 medications. Apply WHO 5-dimension adherence framework to identify modifiable barriers. Provide motivational interviewing prompts for adherence counseling.
FHIR Resources Used
| Resource | Purpose | Key Fields |
|---|---|---|
| MedicationDispense | Pharmacy fill records | status, medicationCodeableConcept, quantity, daysSupply, whenHandedOver |
| MedicationRequest | Prescription orders with intended supply | status, medicationCodeableConcept, dispenseRequest.numberOfRepeatsAllowed, dispenseRequest.expectedSupplyDuration |
| MedicationStatement | Patient-reported medication taking behavior | status, medicationCodeableConcept, effectivePeriod, adherence |
| Patient | Demographics for risk stratification | birthDate, gender, address |
| Condition | Chronic conditions requiring adherence | code, clinicalStatus, onsetDateTime |
| Observation | Clinical outcomes correlating with adherence | code, valueQuantity, effectiveDateTime |
Instructions
Step 1: Identify Patient and Active Chronic Medications
Tool: fhir_search
resourceType: "MedicationRequest"
queryParams: "patient=[patient-id]&status=active&intent=order&_count=100"
Filter for chronic medications (those with repeating dispense requests or ongoing conditions). Exclude PRN-only and short-course medications (antibiotics, acute pain).
Step 2: Pull Dispense History for Each Medication
For each chronic medication identified:
Tool: fhir_search
resourceType: "MedicationDispense"
queryParams: "patient=[patient-id]&medication=[medication-code]&_sort=-whenhandedover&_count=50"
If medication-specific search fails, pull all dispenses:
Tool: fhir_search
resourceType: "MedicationDispense"
queryParams: "patient=[patient-id]&status=completed&_sort=-whenhandedover&_count=200"
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 · 285 lines · 89 tokens per session scan A f1651739920e
medication-adherence-assessment 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 3,003 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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