fda-database
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data…
Skill by agent-skills-hub
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: backend, data, research
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What's inside
- Skill name
fda-database- Description
- Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
- License
- MIT
- Metadata
- skill-author: K-Dense Inc.
- Instructions
- 511 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- body: 511 lines (spec recommends under 500)
Files (9)
- SKILL.md
- animal_veterinary.md · references/
- api_basics.md · references/
- devices.md · references/
- drugs.md · references/
- foods.md · references/
- other.md · references/
- fda_examples.py · scripts/
- fda_query.py · scripts/
SKILL.md (first lines)
# FDA Database Access
## Overview
Access comprehensive FDA regulatory data through openFDA, the FDA's initiative to provide open APIs for public datasets. Query information about drugs, medical devices, foods, animal/veterinary products, and substances using Python with standardized interfaces.
**Key capabilities:**
- Query adverse events for drugs, devices, foods, and veterinary products
- Access product labeling, approvals, and regulatory submissions
- Monitor recalls and enforcement actions
- Look up National Drug Codes (NDC) and substance identifiers (UNII)
- Analyze device classifications and clearances (510k, PMA)
- Track drug shortages and supply issues
- Research chemical structures and substance relationships
## When to Use This Skill
This skill should be used when working with:
- **Drug research**: Safety profiles, adverse events, labeling, approvals, shortages
- **Medical device surveillance**: Adverse events, recalls, 510(k) clearances, PMA approvals
- **Food safety**: Recalls, allergen tracking, adverse events, dietary supplements
- **Veterinary medicine**: Animal drug adverse events by species and breed
- **Chemical/substance data**: UNII lookup, CAS number mapping, molecular structures
- **Regulatory analysis**: Approval pathways, enforcement actions, compliance tracking
- **Pharmacovigilance**: Post-market surveillance, safety signal detection
- **Scientific research**: Drug interactions, comparative safety, epidemiological studies
## Quick Start
### 1. Basic Setup
```python
from scripts.fda_query import FDAQuery
# Initialize (API key optional but recommended)
fda = FDAQuery(api_key="YOUR_API_KEY")
# Query drug adverse events
events = fda.query_drug_events("aspirin", limit=100)
# Get drug labeling
label = fda.query_drug_label("Lipitor", brand=True)
# Search device recalls
recalls = fda.query("device", "enforcement",
search="classification:Class+I",
limit=50)
```
### 2. API Key Setup
While the API works without a key, registering provides higher rate limits:
- **Without key**: 240 requests/min, 1,000/day
- **With key**: 240 requests/min, 120,000/day
Register at: https://open.fda.gov/apis/authentication/
Set as environment variable:
```bash
export FDA_API_KEY="your_key_here"
```
### 3. Running Examples
```bash
# Run comprehensive examples
python scripts/fda_examples.py
# This demonstrates:
# - Drug safety profiles
# - Device surveillance
# - Food recall monitoring
# - Substance lookup
# - Comparative drug analysis
# - Veterinary drug analysis
```
## FDA Database Categories
### Drugs
Access 6 drug-related endpoints covering the full drug lifecycle from approval to post-market surveillance.
**Endpoints:**
1. **Adverse Events** - Reports of side effects, errors, and therapeutic failures
2. **Product Labeling** - Prescribing information, warnings, indications
3. **NDC Directory** - National Drug Code product information
4. **Enforcement Reports** - Drug recalls and safety actions
5. **Drugs@FDA** - Historical approval data since 1939
6. **Drug Shortages** - Current and resolved supply issues
**Common use cases:**
```python
# Safety signal detection
fda.count_by_field("drug", "event",
search="patient.drug.medicinalproduct:metformin",
field="patient.reaction.reactionmeddrapt")
# Get prescribing information
label = fda.query_drug_label("Keytruda", brand=True)
# Check for recalls
recalls = fda.query_drug_recalls(drug_name="metformin")
# Monitor shortages
shortages = fda.query("drug", "drugshortages",
search="status:Currently+in+Shortage")
```
**Reference:** See `references/drugs.md` for detailed documentation
### Devices
Access 9 device-related endpoints covering medical device safety, approvals, and registrations.
**Endpoints:**
1. **Adverse Events** - Device malfunctions, injuries, deaths
2. **510(k) Clearances** - Premarket notifications
3. **Classification** - Device categories and risk classesFrom agent-skills-hub/agent-skills-hub, MIT.
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Signals
- Stars
- 123
- Forks
- 44
- Open issues
- 6
- Last commit (this folder)
- Mar 2, 2026 (8 months ago)
- Last release
- Mar 2, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Website
- agent-skills-hub.github.io/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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fda-database skill. Agent Mart. https://agentmart.dev/skills/agent-skills-hub-fda-database (last updated 2026-10-24)