Agent skill · Databases

fda-database

Query openFDA REST API for adverse events (FAERS), labeling, product info, recalls, enforcement. Search by drug name, ingredient, MedDRA, or NDC. 1k req/day no key; 120k with free key. For trials use clinicaltrials-database-search; for structures use drugbank-database-access or chembl-database-bioactivity.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill fda-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: 18 KB
Bundled scripts: none
Path: skills/sciagent/fda-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

# openFDA Drug and Adverse Event Database ## Overview openFDA provides public access to FDA regulatory data through a simple REST API. Key datasets include the FDA Adverse Event Reporting System (FAERS) with 20M+ adverse event reports, drug product labeling (NDC, SPL), drug approvals (Drugs@FDA), medical device reports, and recall enforcement actions. The API supports full-text search and structured queries using Elasticsearch-style syntax. ## When to Use - Retrieving adverse event reports for a drug to assess safety signals and side effect profiles - Querying FAERS for disproportionality analysis (comparing drug vs. drug adverse event profiles) - Looking up official drug labeling (indications, contraindications, warnings, dosing) by drug name or NDC - Searching for drug recalls and enforcement actions by drug name or company - Identifying all marketed products containing a given active ingredient - Building pharmacovigilance pipelines that monitor drug safety signals from public regulatory data - For clinical trial efficacy data use `clinicaltrials-database-search`; for drug structures/targets use `drugbank-database-access` ## Prerequisites - **Python packages**: `requests`, `pand

What's inside
Steps it walks through
  1. Overview
  2. When to Use
  3. Prerequisites
  4. Quick Start
  5. Core API
  6. Query 1: Adverse Event Report Search (FAERS)
  7. Query 2: Count Top Adverse Events for a Drug
  8. Query 3: Drug Labeling Search
  9. Query 4: Drug Product Lookup by NDC
  10. Query 5: Drug Recall Search
  11. Query 6: Active Ingredient Search Across Products
  12. Key Concepts
  13. openFDA API Endpoints
  14. Query Syntax
Commands it runs
pip install requests pandas
More from awesome-bio-agent-skills
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About this skill
What does the fda-database skill do?

Query openFDA REST API for adverse events (FAERS), labeling, product info, recalls, enforcement. Search by drug name, ingredient, MedDRA, or NDC. 1k req/day no key; 120k with free key. For trials use clinicaltrials-database-search; for structures use drugbank-database-access or chembl-database-bioactivity.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill fda-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