LQF_Machine_Learning_E…
LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine…
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
Claude Code
$ npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill fda-database --agent claude-code
Codex
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill fda-database -a codex -y
Cursor
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill fda-database -a cursor -y
Gemini CLI
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill fda-database -a gemini-cli -y
GitHub Copilot
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill fda-database -a github-copilot -y
OpenCode
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill fda-database -a opencode -y
Windsurf
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill fda-database -a windsurf -y
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: Unknown
metadata:
skill-author: K-Dense Inc.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:**
This skill should be used when working with:
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)While the API works without a key, registering provides higher rate limits:
Register at: https://open.fda.gov/apis/authentication/
Set as environment variable:
export FDA_API_KEY="your_key_here"
# 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
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:**
# 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
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 4. **Enforcement Reports** - Device recalls 5. **Recalls** - Detailed recall information 6. **PMA** - Premarket approval data for Class III devices 7. **Registrations & Listings** - Manufacturing facility data 8. **UDI** - Unique Device Identification database 9. **COVID-19 Serology** - Antibody test performance data
**Common use cases:**
# Monitor device safety
events = fda.query_device_events("pacemaker", limit=100)
# Look up device classification
classification = fda.query_device_classification("DQY")
# Find 510(k) clearances
clearances = fda.query_device_510k(applicant="Medtronic")
# Search by UDI
device_info = fda.query("device", "udi",
search="identifiers.id:00884838003019")**Reference:** See `references/devices.md` for detailed documentation
Access 2 food-related endpoints for safety monitoring and recalls.
**Endpoints:** 1. **Adverse Events** - Food, dietary supplement, and cosmetic events 2. **Enforcement Reports** - Food product recalls
**Common use cases:**
# Monitor allergen recalls
recalls = fda.query_food_recalls(reason="undeclared peanut")
# Track dietary supplement events
events = fda.query_food_events(
industry="Dietary Supplements")
# Find contamination recalls
listeria = fda.query_food_recalls(
reason="listeria",
classification="I")**Reference:** See `references/foods.md` for detailed documentation
Access veterinary drug adverse event data with species-specific information.
**Endpoint:** 1. **Adverse Events** - Animal drug side effects by species, breed, and product
**Common use cases:**
# Species-specific events dog_events = fda.query_animal_
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