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fda-database

Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data…

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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

Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.

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 classes

From agent-skills-hub/agent-skills-hub, MIT.

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Signals

Stars
123
Forks
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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
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

fda-database skill. Agent Mart. https://agentmart.dev/skills/agent-skills-hub-fda-database (last updated 2026-10-24)