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 care-gapsgit 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/care-gaps)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/care-gaps"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/care-gaps/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/care-gaps"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/care-gaps.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 | $0.00062 | $0.00714 |
| Opus 5.5 | $0.00025 | $0.00286 |
| Sonnet 5.5 | $0.00012 | $0.00143 |
| Haiku 4.5 | $0.00006 | $0.00071 |
Grade A, and why
langcare-care-gaps 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.
Care Gap Identifier
When to Use This Skill
Use when a clinician needs to identify overdue preventive screenings, missing chronic disease monitoring labs, and unmet quality measure criteria for an individual patient.
Clinical Workflow
- Use
fhir_readto retrieve Patient demographics (age, gender for screening eligibility) - Use
fhir_searchto pull active Condition resources for chronic disease monitoring requirements - Use
fhir_searchto pull Observation resources (labs, screenings) to check completion dates - Use
fhir_searchto pull Procedure and DiagnosticReport resources for cancer screenings (mammogram, colonoscopy, Pap) - Use
fhir_searchto pull Immunization resources for vaccination status - Apply USPSTF/ACS/ACIP screening schedules based on age, gender, and risk factors (see references/uspstf-recommendations.md)
- For each applicable screening/monitoring item: determine if it was completed within the required interval; flag as current, due soon, or overdue
- Present prioritized list of care gaps with recommended actions
FHIR Resources
- Patient -- Age, gender for screening eligibility
- Condition -- Chronic diseases requiring monitoring (DM, HTN, CKD)
- Observation -- Lab results, screening scores (PHQ-9, AUDIT-C)
- Procedure -- Screening procedures (colonoscopy, mammogram)
- DiagnosticReport -- Screening results
- Immunization -- Vaccination history
FHIR Query Examples
Pull Recent Screenings
fhir_search(resourceType="Procedure", queryParams="patient=[patient-id]&date=ge[3-years-ago]&_sort=-date")
Check Mammogram Status
fhir_search(resourceType="DiagnosticReport", queryParams="patient=[patient-id]&code=24606-6&date=ge[27-months-ago]")
Clinical Guidelines
- USPSTF A and B grade recommendations
- ACS cancer screening guidelines
- ACIP immunization schedule
- ADA diabetes monitoring standards
- ACC/AHA lipid and BP monitoring guidelines
Interpretation Guide
- Categorize gaps as: Overdue (past recommended interval), Due Now (within recommended window), Upcoming (due within 3 months)
- Prioritize by clinical impact: cancer screenings, chronic disease monitoring, immunizations, general wellness
- For each gap: state the screening/test, when it was last performed (or never), the recommended interval, and specific ordering action
- Include age-specific screening eligibility cutoffs (e.g., colonoscopy 45-75, mammogram 50-74, lung cancer screening 50-80 with 20+ pack-year history)
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 · 62 tokens per session scan A 1c7c30207c9a
langcare-care-gaps is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 62 tokens to every session and 714 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-care-gaps compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| langcare-care-gapslangcare/langcare-mcp-fhir | Skill | 71 | 6mo ago | MIT | A | 62 | 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 |