How do I install the Rxnorm Query skill?

Run npx skillmds@latest add gabrielmoreira/rxnorm-query in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Rxnorm Query safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Rxnorm Query?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Rxnorm Query free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Rxnorm Query?

gabrielmoreira (@gabrielmoreira) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Rxnorm Query by gabrielmoreira — Agent Skill

Name: Rxnorm Query
Rating: 4.2 (5 reviews)
Author: gabrielmoreira

Rxnorm Query

Query the RxNorm drug naming and normalization API. Use whenever the user asks to look up an RxCUI, normalize a drug name, find drug interactions, retrieve brand/trade names, or resolve any clinical drug name via RxNorm. Supports single drug or batch queries. Trigger on mentions of RxNorm, RxCUI, drug normalization, drug interaction lookup, or brand-name resolution.

gabrielmoreira Updated Sep 9, 2026 17 repo stars

File contents

RxNorm Query Skill

Look up clinical drug information via the RxNorm REST API (no API key required).

Capabilities

Function	Input	Returns
`find_rxcui(name)`	drug name string	RxCUI string or None
`get_drug_info(rxcui)`	RxCUI string	full info dict
`get_drug_interactions(rxcui)`	RxCUI string	list of interaction dicts
`get_related_drugs(rxcui, tty)`	RxCUI + term type	list of related drug dicts
`normalize_drug_name(name)`	approximate drug string	normalized name string
`query(entity)`	str or list[str]	dict keyed by drug name
`summarize(results)`	output of `query()`	compact text summary

Quick Start

from 08_RxNorm import query, summarize

# Single drug
results = query("aspirin")
print(summarize(results))

# Batch drugs
results = query(["tylenol", "metformin", "ibuprofen"])
print(summarize(results))

`query()` Output Schema

{
  "<drug_name>": {
    "rxcui": "1191" | None,
    "normalized_name": "aspirin",
    "interactions": [
      {"description": "...", "severity": "...", "drugs": ["...", "..."]}
    ],
    "related": [
      {"rxcui": "...", "name": "...", "tty": "..."}
    ]
  }
}

Notes

API: RxNorm REST — https://rxnav.nlm.nih.gov/REST
Auth: None required
Rate limits: NLM asks for reasonable use; no hard key-based limit
Related drug types (tty): BN (brand name), SBD (branded dose), SCD (clinical dose), etc.

---name: rxnorm-querydescription: Query the RxNorm drug naming and normalization API. Use whenever the user asks to look up an RxCUI, normalize a drug name, find drug interactions, retrieve brand/trade names, or resolve any clinical drug name via RxNorm. Supports single drug or batch queries. Trigger on mentions of RxNorm, RxCUI, drug normalization, drug interaction lookup, or brand-name resolution.--- # RxNorm Query Skill Look up clinical drug information via the RxNorm REST API (no API key required). ## Capabilities | Function | Input | Returns | |---|---|---| | `find_rxcui(name)` | drug name string | RxCUI string or None | | `get_drug_info(rxcui)` | RxCUI string | full info dict | | `get_drug_interactions(rxcui)` | RxCUI string | list of interaction dicts | | `get_related_drugs(rxcui, tty)` | RxCUI + term type | list of related drug dicts | | `normalize_drug_name(name)` | approximate drug string | normalized name string | | `query(entity)` | **str or list[str]** | dict keyed by drug name | | `summarize(results)` | output of `query()` | compact text summary | ## Quick Start ```python from 08_RxNorm import query, summarize # Single drug results = query("aspirin") print(summarize(results)) # Batch drugs results = query(["tylenol", "metformin", "ibuprofen"]) print(summarize(results)) ``` ## `query()` Output Schema ``` { "<drug_name>": { "rxcui": "1191" | None, "normalized_name": "aspirin", "interactions": [ {"description": "...", "severity": "...", "drugs": ["...", "..."]} ], "related": [ {"rxcui": "...", "name": "...", "tty": "..."} ] } } ``` ## Notes - **API**: RxNorm REST — `https://rxnav.nlm.nih.gov/REST` - **Auth**: None required - **Rate limits**: NLM asks for reasonable use; no hard key-based limit - **Related drug types** (`tty`): `BN` (brand name), `SBD` (branded dose), `SCD` (clinical dose), etc.

Frequently asked questions