What is prescription-appropriateness-review?

A medication review that checks prescriptions against safety rules for older adults and adjusts the review for kidney or liver function.

Use it to review medicines for people aged 65 and over, check anticholinergic and central-nervous-system drug load, and identify kidney- or liver-related dose concerns.

It helps find medicines that may be unsuitable, missing, too risky in combination, or prescribed at the wrong dose.

prescription-appropriateness-review

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 prescription-appropriateness-review

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/prescription-appropriateness-review/github.svg)](https://agentmods.dev/skills/langcare/langcare-mcp-fhir/prescription-appropriateness-review)

Your own site

<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/prescription-appropriateness-review"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/prescription-appropriateness-review/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/prescription-appropriateness-review"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/prescription-appropriateness-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,130 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.

Model	Per session	Once invoked
Fable 5.1	$0.00106	$0.04130
Opus 5.5	$0.00042	$0.01652
Sonnet 5.5	$0.00021	$0.00826
Haiku 4.5	$0.00011	$0.00413

Measured 2mo ago against content hash 5140cc276208, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

prescription-appropriateness-review 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/medication-management/prescription-appropriateness-review/SKILL.md · 354 lines

How it starts

The opening of the file, as written. The whole thing — 354 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prescription Appropriateness Review

Overview

Perform a comprehensive prescription appropriateness review by applying AGS 2023 Beers Criteria for patients aged 65 and older, STOPP/START criteria for potentially inappropriate prescribing and prescribing omissions, renal dose adjustments based on eGFR from laboratory Observations, and hepatic dose adjustments. Flag anticholinergic burden, CNS-active polypharmacy, and prolonged PPI use.

FHIR Resources Used

Resource	Purpose	Key Fields
Patient	Age determination, demographics	birthDate, gender
MedicationRequest	Active prescriptions to review	status, medicationCodeableConcept, dosageInstruction, reasonCode
MedicationStatement	Patient-reported medications including OTC	status, medicationCodeableConcept, dosage
Condition	Active diagnoses for drug-disease interaction checks	code, clinicalStatus, onsetDateTime
Observation	Lab values for renal/hepatic function	code, valueQuantity, effectiveDateTime
AllergyIntolerance	Cross-reference for contraindicated meds	code, clinicalStatus

Instructions

Step 1: Retrieve Patient Demographics

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

Calculate age from birthDate. Beers Criteria apply to patients >= 65 years. STOPP/START criteria apply to patients >= 65 years. Renal/hepatic dose adjustments apply to all ages.

Step 2: Pull All Active Medications

Tool: fhir_search
resourceType: "MedicationRequest"
queryParams: "patient=[patient-id]&status=active&_count=100"

Tool: fhir_search
resourceType: "MedicationStatement"
queryParams: "patient=[patient-id]&status=active&_count=100"

Merge and deduplicate by RxNorm code. For each medication, extract: name, dose, frequency, route, indication (if available via reasonCode).

Step 3: Pull Active Conditions

Tool: fhir_search
resourceType: "Condition"
queryParams: "patient=[patient-id]&clinical-status=active&_count=100"

Read the full file on GitHub · 354 lines

Files

What ships with it

3 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.

2mo ago First seen · 354 lines · 106 tokens per session scan A 5140cc276208

Subscribe to this mod's changes

prescription-appropriateness-review is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 106 tokens to every session and 4,130 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 2026-09-03.

Scientific

prescription-appropriateness-review next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
prescription-appropriateness-reviewlangcare/langcare-mcp-fhir	Skill	71	6mo ago	MIT	A	106	Claude Code, Codex
instrument-data-to-allotropeanthropics/knowledge-work-plugins	Skill	35k	2d ago	Apache-2.0	A	123	Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	83	Claude Code
matlabK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	44	Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	71	Claude Code, Codex
research-engineerdavila7/claude-code-templates	Skill	33k	yesterday	MIT	A	43	Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmed	Skill	5.8k	yesterday	Apache-2.0	A	205	Claude Code