alterlab-fda

alterlab-fda is a skill for Claude Code from AlterLab-IEU/AlterLab-Academic-Skills. It costs 81 tokens per session (2,356 once invoked), scanned A, original, MIT.

A way to query openFDA, the US Food and Drug Administration's public data service. It covers medicines, medical devices, food, substances, safety reports, recalls, labels, and regulatory submissions.

In plain words
What is it for?
It is for researching adverse events, recalls, drug labels, approvals, device clearances, shortages, and substance identifiers.
Why use it?
It brings regulatory and safety records into searchable data instead of requiring manual review of separate FDA pages.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the alterlab-databases plugin — 39 skills shipped together

Good fit It is for researching adverse events, recalls, drug labels, approvals, device clearances, shortages, and substance identifiers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alterlab-ieu/alterlab-academic-skills/alterlab-fda
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-fda
Clone the repo
git clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-Skills

Made for: Claude Code.

Or install alterlab-databases, the plugin that ships this one along with the rest of its 39 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for alterlab-fda

README.md
[![agentmods](https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-fda/github.svg)](https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-fda)
Your own site
<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-fda"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-fda/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for alterlab-fda

Your own site · 80×15
<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-fda"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-fda.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,356 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.02356
Opus 5 $0.00041 $0.01178
Sonnet 5 $0.00016 $0.00471
Haiku 4.5 $0.00008 $0.00236

Measured 8d ago against content hash fa76a1b3fe0c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

alterlab-fda scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/fda_examples.py, scripts/fda_query.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

allowed-tools: Read WebFetch Bash(curl:*) Bash(python:*)
skills/databases/alterlab-fda/SKILL.md · 308 lines

How it starts

The opening of the file, as written. The whole thing — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

# Run from the skill's scripts/ dir, or add it to sys.path first.
from fda_query import FDAQuery

# API key is optional (works keyless); pass it or set FDA_API_KEY.
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)

Read the full file on GitHub · 308 lines

Files

What ships with it

10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 308 lines · 81 tokens per session scan A fa76a1b3fe0c

Subscribe to this mod's changes

alterlab-fda is a skill published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 7d ago), licensed MIT. It adds 81 tokens to every session and 2,356 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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