agentmods.dev

fall-risk-assessment

fall-risk-assessment is a skill for Claude Code, Codex from langcare/langcare-mcp-fhir. It costs 102 tokens per session (3,565 once invoked), scanned A, original, MIT.

A fall-risk checker that calculates established scores from a patient’s health records and mobility information. It can also create a structured care plan for preventing falls.

In plain words
What is it for?
Use it to assess a patient’s chance of falling, identify contributing factors, and document individualized prevention steps.
Why use it?
It brings together fall history, balance problems, medicines, vital signs, vision, and other risks that may otherwise be scattered across records.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 71repo +3 6mo ago A scan 102 tokens original MIT

Good fit Use it to assess a patient’s chance of falling, identify contributing factors, and document individualized prevention steps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/langcare/langcare-mcp-fhir/fall-risk-assessment
View source ↗ langcare/langcare-mcp-fhir
Install

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.

Any agent
npx skills add langcare/langcare-mcp-fhir --skill fall-risk-assessment
Clone the repo
git clone --depth 1 https://github.com/langcare/langcare-mcp-fhir

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for fall-risk-assessment

README.md
[![agentmods](https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/fall-risk-assessment/github.svg)](https://agentmods.dev/skills/langcare/langcare-mcp-fhir/fall-risk-assessment)
Your own site
<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/fall-risk-assessment"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/fall-risk-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.

agentmods 80×15 button for fall-risk-assessment

Your own site · 80×15
<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/fall-risk-assessment"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/fall-risk-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,565 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00102 $0.03565
Opus 5.5 $0.00041 $0.01426
Sonnet 5.5 $0.00020 $0.00713
Haiku 4.5 $0.00010 $0.00357

Measured 2mo ago against content hash 930e5122b836, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fall-risk-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 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.

skills/core/clinical-decision-support/fall-risk-assessment/SKILL.md · 344 lines

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.

Fall Risk Assessment

Overview

Calculate fall risk scores from FHIR Patient, Condition, Observation, and MedicationRequest resources using Morse Fall Scale, Hendrich II Fall Risk Model, and Timed Up and Go (TUG) test. Identify high-risk medications, mobility deficits, and environmental risk factors. Generate a CarePlan FHIR resource with individualized fall prevention interventions.

FHIR Resources Used

Resource Purpose Key Fields
Patient Age, demographics birthDate, gender
Condition Fall history, diagnoses affecting balance/gait code, clinicalStatus, onsetDateTime
Observation Vitals (orthostatic BP), mobility assessments, vision code, valueQuantity
MedicationRequest High-risk medications (sedatives, opioids, antihypertensives) medicationCodeableConcept, status
Procedure Assistive device use, recent surgeries code, status
CarePlan Output: fall prevention plan status, category, activity, goal

Instructions

Step 1: Retrieve Patient Demographics

Tool: fhir_read
resourceType: "Patient"
id: "[patient-id]"

Extract age and gender. Age >=65 is a primary fall risk factor.

Step 2: Retrieve Fall History and Relevant Conditions

Tool: fhir_search
resourceType: "Condition"
queryParams: "patient=[patient-id]&clinical-status=active,recurrence,remission"

Key SNOMED codes:

  • 161898004: Falls (history of falling)
  • 217082002: Accidental fall
  • 129839007: At risk for falls
  • 44695005: Paralysis
  • 22253000: Pain (chronic pain affecting mobility)
  • 386807006: Impaired memory / cognitive impairment
  • 40917007: Visual impairment
  • 15188001: Hearing loss
  • 85600001: Peripheral neuropathy
  • 69896004: Rheumatoid arthritis
  • 396275006: Osteoarthritis
  • 64859006: Osteoporosis
  • 230690007: Stroke (with residual deficit)
  • 49049000: Parkinson disease
  • 26929004: Alzheimer disease
  • 84757009: Epilepsy / seizure disorder
  • 271327008: Syncope
  • 111516008: Urinary incontinence (urgency increases fall risk)
  • 73211009: Diabetes mellitus (neuropathy risk)
  • 38341003: Hypertension (orthostatic hypotension risk)
  • 35489007: Depressive disorder

Read the full file on GitHub · 344 lines

Files

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.

Changes

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.

  1. 2mo ago First seen · 344 lines · 102 tokens per session scan A 930e5122b836

Subscribe to this mod's changes

fall-risk-assessment is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 102 tokens to every session and 3,565 once invoked, about $0.0004 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.

Scientific
Related

fall-risk-assessment compared with skills from other repositories

fall-risk-assessment next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
fall-risk-assessmentlangcare/langcare-mcp-fhirSkill716mo agoMITA102Claude Code, Codex
instrument-data-to-allotropeanthropics/knowledge-work-pluginsSkill35k2d agoApache-2.0A123Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA83Claude Code
matlabK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA44Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA71Claude Code, Codex
research-engineerdavila7/claude-code-templatesSkill33kyesterdayMITA43Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmedSkill5.8kyesterdayApache-2.0A205Claude Code