fall-risk-assessment
fall-risk-assessment is a Clinical knowledge & decision support skill for AI agents, published by langcare in the langcare-mcp-fhir repository on GitHub. Skillspace rates fall-risk-assessment D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Assesses fall risk using Morse Fall Scale, Hendrich II, and Timed Up and Go from FHIR resources and generates a fall prevention CarePlan. Use when user asks to "assess fall risk", "Morse fall scale", "fall prevention", "Hendrich score", "TUG test", "fall history", or mentions patient falls, gait instability, or balance concerns. Do NOT use for injury severity scoring, trauma assessment, or post-fall diagnostic imaging decisions.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 47
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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