How do I install the Dailymed Query skill?

Run npx skillmds@latest add gabrielmoreira/dailymed-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 Dailymed 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 Dailymed 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 Dailymed Query free to use?

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

Who published Dailymed Query?

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

Dailymed Query by gabrielmoreira — Agent Skill

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

Dailymed Query

Query DailyMed for FDA drug label / package insert information. Use whenever the user asks about drug labeling, SPL documents, prescribing information, NDC codes, or needs to look up current FDA-approved drug details by name or NDC. Supports single entity or batch queries.

gabrielmoreira Updated Sep 9, 2026 17 repo stars

File contents

DailyMed Query Skill

Search DailyMed SPL labels by drug name or NDC code. No API key required.

Input Type	Function	Returns
drug name (str)	`search_drug_labels(name, limit)`	list of label summaries
SPL set ID	`get_label_detail(set_id)`	dict (parsed from XML)
NDC code	`get_ndc_info(ndc, limit)`	list of label summaries (JSON)
str or list[str]	`query(entities, limit)`	concise text summary
list[str]	`search_batch(entities, limit)`	dict[entity → results]

API

Function	Input	Returns
`search_drug_labels(drug_name, limit=5)`	drug name string	`list[dict]` with `title`, `setid`
`get_label_detail(set_id)`	SPL set ID	`dict` (XML→dict, keys vary by label)
`get_ndc_info(ndc, limit=5)`	NDC string	`list[dict]` with `title`, `setid`
`search_batch(entities, limit=3)`	list of drug names	`dict[str, list[dict]]`
`summarize(results, entity)`	results list + label	compact text
`query(entities, limit=3)`	single str or list[str]	LLM-readable text block

Usage

See if __name__ == "__main__" block in 06_DailyMed.py for runnable examples covering: single drug search, batch multi-drug search, label detail retrieval, and NDC lookup.

Quick Examples

from importlib.machinery import SourceFileLoader
dm = SourceFileLoader("dm", "06_DailyMed.py").load_module()

# Single entity
print(dm.query("metformin"))

# Multiple entities
print(dm.query(["aspirin", "lisinopril", "atorvastatin"]))

# Full label detail
hits = dm.search_drug_labels("metformin", limit=1)
detail = dm.get_label_detail(hits[0]["setid"])

Data Source

Provider: U.S. National Library of Medicine / DailyMed
Base URL: https://dailymed.nlm.nih.gov/dailymed/services/v2
Auth: None (public API)
Note: Search (/spls.json) and NDC lookup (/spls.json?ndc=...) return JSON. Detail endpoint (/spls/{setid}.xml) is XML-only; parsed to dict automatically.

---name: dailymed-querydescription: Query DailyMed for FDA drug label / package insert information. Use whenever the user asks about drug labeling, SPL documents, prescribing information, NDC codes, or needs to look up current FDA-approved drug details by name or NDC. Supports single entity or batch queries.--- # DailyMed Query Skill Search DailyMed SPL labels by drug name or NDC code. No API key required. | Input Type | Function | Returns | |---|---|---| | drug name (str) | `search_drug_labels(name, limit)` | list of label summaries | | SPL set ID | `get_label_detail(set_id)` | dict (parsed from XML) | | NDC code | `get_ndc_info(ndc, limit)` | list of label summaries (JSON) | | str or list[str] | `query(entities, limit)` | concise text summary | | list[str] | `search_batch(entities, limit)` | dict[entity → results] | ## API | Function | Input | Returns | |---|---|---| | `search_drug_labels(drug_name, limit=5)` | drug name string | `list[dict]` with `title`, `setid` | | `get_label_detail(set_id)` | SPL set ID | `dict` (XML→dict, keys vary by label) | | `get_ndc_info(ndc, limit=5)` | NDC string | `list[dict]` with `title`, `setid` | | `search_batch(entities, limit=3)` | list of drug names | `dict[str, list[dict]]` | | `summarize(results, entity)` | results list + label | compact text | | `query(entities, limit=3)` | single str or list[str] | LLM-readable text block | ## Usage See `if __name__ == "__main__"` block in `06_DailyMed.py` for runnable examples covering: single drug search, batch multi-drug search, label detail retrieval, and NDC lookup. ## Quick Examples ```python from importlib.machinery import SourceFileLoader dm = SourceFileLoader("dm", "06_DailyMed.py").load_module() # Single entity print(dm.query("metformin")) # Multiple entities print(dm.query(["aspirin", "lisinopril", "atorvastatin"])) # Full label detail hits = dm.search_drug_labels("metformin", limit=1) detail = dm.get_label_detail(hits[0]["setid"]) ``` ## Data Source - **Provider**: U.S. National Library of Medicine / DailyMed - **Base URL**: `https://dailymed.nlm.nih.gov/dailymed/services/v2` - **Auth**: None (public API) - **Note**: Search (`/spls.json`) and NDC lookup (`/spls.json?ndc=...`) return JSON. Detail endpoint (`/spls/{setid}.xml`) is XML-only; parsed to dict automatically.

Frequently asked questions