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 preventive-care-compliance-reportgit 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/preventive-care-compliance-report)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/preventive-care-compliance-report"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/preventive-care-compliance-report/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/preventive-care-compliance-report"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/preventive-care-compliance-report.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 | $0.00150 | $0.04104 |
| Opus 5 | $0.00075 | $0.02052 |
| Sonnet 5 | $0.00030 | $0.00821 |
| Haiku 4.5 | $0.00015 | $0.00410 |
Grade A, and why
preventive-care-compliance-report 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 — 344 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preventive Care Compliance Report
Overview
Audit a patient's or practice's compliance with evidence-based preventive care guidelines from USPSTF (Grade A and B), ACS cancer screening, and CDC immunization schedules. Query Procedure, Observation, Immunization, DiagnosticReport, and Patient resources to determine which screenings, labs, and immunizations are current, overdue, or not applicable based on age, sex, and risk factors. Generate a compliance scorecard and calculate practice-level rates. See references/uspstf-grade-ab.md, references/cancer-screening-guidelines.md, and references/compliance-scoring.md for specifications.
FHIR Resources Used
| Resource | Purpose | Key Fields |
|---|---|---|
| Patient | Age, sex, demographics for guideline applicability | birthDate, gender |
| Condition | Risk factors modifying screening recommendations | code, clinicalStatus |
| Observation | Screening results, vitals, lab values | code, valueQuantity, effectiveDateTime, status |
| Procedure | Screening procedures (colonoscopy, mammogram) | code, performedDateTime, status |
| DiagnosticReport | Imaging and pathology results | code, effectiveDateTime, status |
| Immunization | Vaccination compliance | vaccineCode, occurrenceDateTime, status |
| MedicationRequest | Statin/aspirin therapy compliance | medicationCodeableConcept, status |
| FamilyMemberHistory | Family risk factors for screening age adjustment | condition, relationship |
Instructions
Step 1: Retrieve Patient Demographics and Risk Profile
Tool: fhir_read
resourceType: "Patient"
id: "[patient-id]"
Calculate age, note gender. These determine which guidelines apply.
Tool: fhir_search
resourceType: "Condition"
queryParams: "patient=[patient-id]&clinical-status=active"
Identify risk factors that modify screening recommendations:
- Smoking history (SNOMED 77176002 = current smoker, 8517006 = former smoker)
- Obesity (SNOMED 414916001, or BMI observation)
- Diabetes (SNOMED 44054006)
- Family history of cancer (query FamilyMemberHistory)
- HIV (SNOMED 86406008)
- Immunocompromised status
What ships with it
3 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 · 344 lines · 150 tokens per session scan A e3250905f7b3
preventive-care-compliance-report is a skill published in the GitHub repository langcare/langcare-mcp-fhir (55 stars, last pushed 5mo ago), licensed MIT. It adds 150 tokens to every session and 4,104 once invoked, about $0.0007 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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