What is langcare-allergy-review?

An allergy and adverse-reaction review tool that organizes recorded allergies and compares medication allergies with the patient's active medicines. It uses FHIR, a standard format for exchanging healthcare data.

It helps clinicians review drug, food, environmental, and biologic allergies, check active prescriptions for conflicts, and update records when authorized.

It helps distinguish documented allergies from incomplete records and can reveal possible medication conflicts before prescribing.

langcare-allergy-review — Skill for Claude Code and Codex by langcare

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 allergy-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/allergy-review/github.svg)](https://agentmods.dev/skills/langcare/langcare-mcp-fhir/allergy-review)

Your own site

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

Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 687 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	$0.00058	$0.00687
Opus 5.5	$0.00023	$0.00275
Sonnet 5.5	$0.00012	$0.00137
Haiku 4.5	$0.00006	$0.00069

Measured 2mo ago against content hash fe2ce8aa2d60, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

langcare-allergy-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.

cma/skills/patient-data/allergy-review/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Allergy and Adverse Reaction Review

When to Use This Skill

Use when a clinician needs a comprehensive view of documented allergies and adverse reactions, cross-referenced against current medications for safety validation.

Clinical Workflow

Use fhir_search to pull all AllergyIntolerance resources for the patient (active, inactive, resolved)
Use fhir_search to pull active MedicationRequest resources for cross-reference
Classify allergies by type: drug, food, environmental, biologic
For drug allergies, cross-reference against active medications and flag any contraindicated prescriptions
Identify allergy documentation gaps: no known allergies (NKA) vs not assessed vs documented allergies
Use fhir_update to correct allergy records if authorized (e.g., mark resolved, update reaction details)

FHIR Resources

AllergyIntolerance -- Allergy entries: clinicalStatus, type (allergy vs intolerance), category (food, medication, environment, biologic), code, reaction (substance, manifestation, severity), criticality
MedicationRequest -- Active prescriptions for contraindication checking
Patient -- Demographics for allergy context

FHIR Query Examples

Pull All Allergies

fhir_search(resourceType="AllergyIntolerance", queryParams="patient=[patient-id]")

Pull Active Medications for Cross-Reference

fhir_search(resourceType="MedicationRequest", queryParams="patient=[patient-id]&status=active&_count=100")

Clinical Guidelines

Joint Commission NPSG.03.06.01 requires allergy documentation reconciliation at transitions of care
Cross-reactivity groups: penicillins (ampicillin, amoxicillin, piperacillin), cephalosporins (~2% cross-reactivity with penicillin), sulfonamides, NSAIDs
Distinguish allergy (immune-mediated: anaphylaxis, urticaria, angioedema) from intolerance (non-immune: GI upset, headache)
Criticality: high = life-threatening potential, low = non-life-threatening, unable-to-assess

Interpretation Guide

Present drug allergies first (highest prescribing safety impact), then food, then environmental
For each allergy: substance, reaction type, severity, criticality, date recorded, verificationStatus
Flag high-criticality allergies prominently
When cross-referencing medications, check both exact matches and drug class cross-reactivity
If AllergyIntolerance list is empty, distinguish NKA (code for "no known allergy" present) from "not assessed" (no AllergyIntolerance resources at all)

Read the full file on GitHub · 59 lines

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 · 59 lines · 58 tokens per session scan A fe2ce8aa2d60

Subscribe to this mod's changes

langcare-allergy-review is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 58 tokens to every session and 687 once invoked, about $0.0002 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

langcare-allergy-review next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
langcare-allergy-reviewlangcare/langcare-mcp-fhir	Skill	71	6mo ago	MIT	A	58	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