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Fda Database

Listed
davila7·vlatest·database·MIT

Access and query Davila7's FDA drug approval data to find information on medications, trials, and regulatory status.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill fda-database -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 457 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as davila7/claude-code-templates.
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About this skill

The fda-database skill enables AI agents to query and retrieve structured data from the U.S. Food and Drug Administration’s public databases, including drug labels, medical device information, and regulatory actions. It allows developers to programmatically access official FDA records without manual browsing or scraping.

When to use it

  • Automate compliance checks by verifying drug approval statuses against current FDA listings.
  • Extract structured data on medical devices for market research or safety analysis.
  • Build internal tools that display real-time regulatory updates for healthcare applications.
  • Integrate authoritative FDA data into AI-driven decision support systems.

Key capabilities

  • Query FDA’s Structured Product Labeling (SPL) database for drug information.
  • Access Medical Device Regulated Information System (MDRIS) data.
  • Retrieve enforcement reports and warning letters from the FDA.
  • Parse and format responses into JSON or other machine-readable formats.

Example prompts

  • “Search the FDA database for all approved insulin products manufactured after 2020.”
  • “List recent FDA warning letters related to cardiovascular devices issued in the last quarter.”
  • “Extract active ingredients and dosages from the SPL records of Brand X medication.”

Tips & gotchas

Ensure your AI agent handles rate limits imposed by the FDA API, as excessive requests may result in temporary blocks. Always validate returned data against official sources before using it in critical applications like clinical decision support.