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 fall-riskgit 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/fall-risk)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/fall-risk"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/fall-risk/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/fall-risk"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/fall-risk.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 | $0.00673 |
| Opus 5 | $0.00033 | $0.00336 |
| Sonnet 5 | $0.00013 | $0.00135 |
| Haiku 4.5 | $0.00007 | $0.00067 |
Grade A, and why
langcare-fall-risk 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 12d 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.
Fall Risk Assessment
When to Use This Skill
Use when a clinician needs to evaluate fall risk for hospitalized or ambulatory patients using validated scoring tools and medication review.
Clinical Workflow
- Use
fhir_readto retrieve Patient demographics (age -- risk increases >65) - Use
fhir_searchto pull Condition resources: fall history, gait/mobility disorders, cognitive impairment, orthostatic hypotension, visual impairment, neuropathy - Use
fhir_searchto pull active MedicationRequest resources; flag fall-risk medications (see references/morse-fall-scale.md): benzodiazepines, opioids, antihypertensives, antipsychotics, antidepressants, sedative-hypnotics, anticonvulsants, anticholinergics - Use
fhir_searchto pull Observation resources: recent vital signs (orthostatic BP), mobility assessments, cognitive screening scores - Apply Morse Fall Scale scoring from available data
- Present risk stratification with specific medication and non-pharmacologic intervention recommendations
FHIR Resources
- Patient -- Age
- Condition -- Fall history, gait disorders, cognitive impairment, visual impairment, neuropathy
- MedicationRequest -- Fall-risk medications
- Observation -- Orthostatic vitals, mobility assessments, cognitive scores, visual acuity
FHIR Query Examples
Pull Fall-Related Conditions
fhir_search(resourceType="Condition", queryParams="patient=[patient-id]&clinical-status=active")
Pull Active Medications
fhir_search(resourceType="MedicationRequest", queryParams="patient=[patient-id]&status=active&_count=100")
Clinical Guidelines
- CDC STEADI (Stopping Elderly Accidents, Deaths & Injuries) Initiative
- Morse Fall Scale for hospitalized patients
- AGS/BGS Clinical Practice Guideline for Fall Prevention (2010, updated)
- NICE CG161 Falls in Older People
Interpretation Guide
- Morse Fall Scale: 0-24 low risk (standard precautions), 25-50 moderate risk (implement fall prevention protocol), >50 high risk (high-risk interventions)
- Count fall-risk medications: >=4 fall-risk medications is an independent risk factor
- Orthostatic hypotension: SBP drop >=20 mmHg or DBP drop >=10 mmHg on standing; correlate with symptoms
- For each high-risk medication, recommend: taper if possible, reduce dose, schedule review, or provide specific rationale for continuing
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.
- 12d ago First seen · 58 lines · 66 tokens per session scan A ffbce2eb8769
langcare-fall-risk 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 673 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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