fda-database
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data…
Skill by foryourhealth111-pixel
Install
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.
npx agentmarket install skill/foryourhealth111-pixel-fda-database
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About
Use cases: backend, data, research
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 2
api.fda.gov· found in codecodeload.github.com· found in install command
Files it touches
~/.claude/skills/fda-database
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
- Apache-2.0
- Metadata
- skill-author: K-Dense Inc.
- Instructions
- 509 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- body: 509 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 foryourhealth111-pixel/Vibe-Skills, Apache-2.0.
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Signals
- Stars
- 3,764
- Forks
- 341
- Open issues
- 36
- Last commit (this folder)
- Mar 3, 2026 (8 months ago)
- Last release
- Oct 18, 2026 (12 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Website
- agent-skills-hub.github.io/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
fda-database skill. Agent Mart. https://agentmart.dev/skills/foryourhealth111-pixel-fda-database (last updated 2026-10-24)