Agent skill · Security

dailymed-database

Query FDA drug labels (DailyMed) via REST API. Search structured product labels (SPLs) by name, NDC, set ID, or RxCUI; get indications, dosage, warnings, adverse reactions, packaging. No auth. For adverse events use fda-database; for DDIs use ddinter-database.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill dailymed-database --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 23 KB
Bundled scripts: none
Path: skills/sciagent/dailymed-database/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# DailyMed Drug Label Database ## Overview DailyMed is the National Library of Medicine's official repository of FDA-approved drug labeling information, containing 140,000+ structured product labels (SPLs) for prescription drugs, OTC medications, biologics, and vaccines. The REST API (v2) provides structured JSON/XML access to the full label content including indications, dosage, warnings, contraindications, adverse reactions, and packaging data — with no authentication required. ## When to Use - Retrieving official FDA-approved prescribing information for a drug by name, NDC code, or set ID - Extracting structured label sections (indications, warnings, dosage, adverse reactions) for pharmacological research - Looking up all marketed formulations of an active ingredient with packaging and NDC codes - Cross-referencing drug labels using RxCUI identifiers from RxNorm integration - Building drug information pipelines that require authoritative FDA label content (not user-reported data) - Comparing label content across brand name and generic formulations of the same drug - For adverse event reports from FAERS, use `fda-database` instead; DailyMed contains label text, not post-market sa

What's inside
Steps it walks through
  1. Overview
  2. When to Use
  3. Prerequisites
  4. Quick Start
  5. Core API
  6. Query 1: Search Drug Labels by Name
  7. Query 2: Retrieve Full Label by Set ID
  8. Query 3: Search by NDC Code
  9. Query 4: Retrieve Packaging Information
  10. Query 5: Look Up by RxCUI
  11. Query 6: Search Drug Names Index
  12. Query 7: Batch Label Section Extraction
  13. Key Concepts
  14. Structured Product Label (SPL) and Set ID
Commands it runs
pip install requests pandas matplotlib
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About this skill
What does the dailymed-database skill do?

Query FDA drug labels (DailyMed) via REST API. Search structured product labels (SPLs) by name, NDC, set ID, or RxCUI; get indications, dosage, warnings, adverse reactions, packaging. No auth. For adverse events use fda-database; for DDIs use ddinter-database.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill dailymed-database --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going