fda-database

Query openFDA API data on drugs, devices, and substances for analysis.

Updated Dec 17, 2025
One-click install
npx skills add https://github.com/robotlearning123/claude-scientific-skills --skill fda-database-robotlearning123
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fda-database
Source: https://github.com/robotlearning123/claude-scientific-skills/tree/main/scientific-skills/fda-database
Command: npx skills add https://github.com/robotlearning123/claude-scientific-skills --skill fda-database-robotlearning123

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, pandas, numpy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive toolset for accessing and analyzing FDA regulatory data on drugs, medical devices, and substances, enabling users to perform complex analysis and research.

Core Features & Use Cases

  • FDA Regulatory Data Access: Query openFDA API for FDA regulatory data on drugs, devices, foods, and substances.
  • Data Analysis: Perform advanced analysis on FDA data, including safety signal detection, post-market surveillance, and comparative analysis.
  • Use Case: Imagine you are a researcher studying the safety profile of a specific drug. Use this Skill to access and analyze adverse event reports, product labeling, and recall data to understand the drug's safety and efficacy profile.

Quick Start

Use the fda-database skill to retrieve the safety profile of the drug 'aspirin'.

Frequently Asked Questions about fda-database

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query openFDA regulatory data for drug safety and adverse event reports?

The Skill queries openFDA regulatory data to retrieve adverse event reports, product labeling, and recall information for drug safety analysis. It connects directly to the openFDA API for pharmacovigilance research.

What is pharmacovigilance and post-market surveillance analysis using FDA regulatory data?

Pharmacovigilance using FDA regulatory data involves analyzing adverse event reports from the openFDA database. This Skill enables post-market surveillance by querying and evaluating drug and medical device safety profiles after approval.

Do I need an openFDA API key and Python to perform advanced FDA data analysis?

Yes, performing advanced FDA data analysis requires Python and specific openFDA API keys for data retrieval. The Skill also depends on the requests, pandas, and numpy libraries to process the queried datasets.

Can I use pandas and numpy for safety signal detection in medical device datasets?

Yes, the Skill leverages pandas and numpy for safety signal detection in medical device datasets. These dependencies enable advanced analysis and comparative evaluations on the queried FDA regulatory data.

What are the limitations of using openFDA API for pharmaceutical research and substance data?

Limitations of using the openFDA API include requiring specific API keys for data retrieval and depending on Python libraries like pandas and numpy for processing. Users must structure queries carefully to access public datasets on drugs, devices, and substances.