prescription-appropriateness-review

prescription-appropriateness-review is a Clinical knowledge & decision support skill for AI agents, published by langcare in the langcare-mcp-fhir repository on GitHub. Skillspace rates prescription-appropriateness-review D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Reviews prescription appropriateness using Beers Criteria (AGS 2023), STOPP/START criteria, and renal/hepatic dose adjustments. Use when user asks to "review prescriptions for appropriateness", "check Beers criteria", "check STOPP START", "review medications for elderly", mentions "anticholinergic burden", "PPI overuse", "renal dosing", or needs geriatric medication review. Do NOT use for drug interactions, adherence, or opioid-specific assessments.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
47

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHublangcare/langcare-mcp-fhir

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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