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-adherencegit 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)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/medication-adherence"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/medication-adherence/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"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/medication-adherence.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 | $0.00066 | $0.00677 |
| Opus 5 | $0.00033 | $0.00338 |
| Sonnet 5 | $0.00013 | $0.00135 |
| Haiku 4.5 | $0.00007 | $0.00068 |
Grade A, and why
langcare-medication-adherence 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 13d 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Medication Adherence Assessment
When to Use This Skill
Use when a clinician needs to evaluate whether a patient is taking medications as prescribed by analyzing fill history, calculating adherence metrics, and identifying therapy gaps.
Clinical Workflow
- Use
fhir_searchto pull active MedicationRequest resources for the patient's prescribed medication regimen - Use
fhir_searchto pull MedicationDispense resources for fill history with dates and quantities - Calculate Proportion of Days Covered (PDC) for each medication: PDC = (days supply dispensed / days in period) x 100
- Identify refill gaps: periods where days supply ran out before next fill
- Cross-reference adherence findings with clinical outcomes (e.g., uncontrolled A1c with poor metformin PDC, elevated BP with antihypertensive gaps)
- Present adherence report with per-medication PDC, gap analysis, and clinical impact assessment
FHIR Resources
- MedicationRequest -- Active prescriptions defining the intended regimen
- MedicationDispense -- Fill history: medicationCodeableConcept, quantity, daysSupply, whenHandedOver, status
- Observation -- Clinical outcomes (A1c, BP, LDL) correlated with adherence
FHIR Query Examples
Pull Fill History
fhir_search(resourceType="MedicationDispense", queryParams="patient=[patient-id]&_sort=-whenhandedover&_count=200")
Pull Active Prescriptions
fhir_search(resourceType="MedicationRequest", queryParams="patient=[patient-id]&status=active&_count=100")
Clinical Guidelines
- CMS Star Ratings use PDC >= 80% as the adherence threshold for diabetes, hypertension, and cholesterol medications
- WHO defines five dimensions of adherence: social/economic, health system, condition-related, therapy-related, patient-related
- NCQA HEDIS medication adherence measures: ADM (antidepressants), SPC (statins), PBD (beta-blockers post-discharge)
Interpretation Guide
- PDC >= 80%: adherent. PDC 50-79%: partially adherent. PDC < 50%: non-adherent
- Calculate PDC over the most recent 12 months or since therapy start, whichever is shorter
- Flag early refills (>7 days early) which may indicate stockpiling or diversion
- Flag medications with no fills despite active prescription (never-filled prescriptions)
- Correlate adherence gaps with clinical events: ED visits, hospitalizations, worsening lab values
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.
- 13d ago First seen · 58 lines · 66 tokens per session scan A f02b175951a6
langcare-medication-adherence is a skill published in the GitHub repository langcare/langcare-mcp-fhir (55 stars, last pushed 5mo ago), licensed MIT. It adds 66 tokens to every session and 677 once invoked, about $0.0003 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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