
Fda Database
This wraps the openFDA API for querying drug safety data, medical device recalls, food enforcement reports, and substance identifiers. You get structured access to adverse event reports across drugs, devices, foods, and veterinary products, plus regulatory submissions like 510(k) clearances and PMA approvals. The skill includes helpers for common patterns like safety profiling and temporal analysis, though you're mostly building search strings and parsing JSON responses. Rate limits are generous with an API key (120k requests per day vs 1k without). Most useful if you're doing pharmacovigilance work, tracking recall patterns, or need to map between NDC codes, UNII identifiers, and CAS numbers. The data is real FDA reporting, so expect the usual data quality issues with voluntary adverse event submissions.
- skills.sh installs
- 313
- GitHub stars
- 33.2K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add davila7/claude-code-templates --skill fda-database --agent claude-codeInstalls into .claude/skills of the current project.
Files
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
Sponsors
Details
- Repository
- github.com/davila7/claude-code-templates
- Categories
- Backend & APIs, Data Science & ML, Databases
- First seen
- Jun 3, 2026
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