drug-labels-search

drug-labels-search is a skill for Claude Code from yorkeccak/scientific-skills. It costs 27 tokens per session (1,239 once invoked), scanned B, original, MIT.

A search tool for official FDA drug labels, which are documents containing approved prescribing information, uses, warnings, doses, and side effects.

In plain words
What is it for?
Use it to find official information about a medicine's approved uses, dosing, warnings, adverse reactions, and available label images.
Why use it?
It lets you look up drug information with ordinary questions instead of knowing the database's exact search fields.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: reads .claude/ paths.

Part of the scientific-skills plugin — 13 skills shipped together

Good fit Use it to find official information about a medicine's approved uses, dosing, warnings, adverse reactions, and available label images.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yorkeccak/scientific-skills/drug-labels-search
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 yorkeccak/scientific-skills --skill drug-labels-search
Clone the repo
git clone --depth 1 https://github.com/yorkeccak/scientific-skills

Made for: Claude Code.

Or install scientific-skills, the plugin that ships this one along with the rest of its 13 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 drug-labels-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/yorkeccak/scientific-skills/drug-labels-search/github.svg)](https://agentmods.dev/skills/yorkeccak/scientific-skills/drug-labels-search)
Your own site
<a href="https://agentmods.dev/skills/yorkeccak/scientific-skills/drug-labels-search"><img src="https://agentmods.dev/badge/skills/yorkeccak/scientific-skills/drug-labels-search/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 drug-labels-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/yorkeccak/scientific-skills/drug-labels-search"><img src="https://agentmods.dev/badge/skills/yorkeccak/scientific-skills/drug-labels-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,239 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00027 $0.01239
Opus 5 $0.00014 $0.00620
Sonnet 5 $0.00005 $0.00248
Haiku 4.5 $0.00003 $0.00124

Measured 12d ago against content hash 7d2bfe967d12, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

drug-labels-search scanned grade B 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/search.mjs), 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

DRUG_LABELS_SCRIPT=$(find ~/.claude/plugins/cache -name "search" -path "*/drug-labels-search/*/scripts/*" -type f 2>/dev/null | head -1)
Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skills/drug-labels-search/SKILL.md · 212 lines

How it starts

The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Search the complete FDA drug labels database including prescribing information, warnings, and official labeling using natural language queries powered by Valyu's semantic search API.

Why This Skill is Powerful

  • No API Parameter Parsing: Just pass natural language queries directly - no need to construct complex search parameters
  • Semantic Search: Understands the meaning of your query, not just keyword matching
  • Full-Text Access: Returns complete drug label information including indications, dosing, warnings, and adverse reactions
  • Image Links: Includes label images when available
  • Comprehensive Coverage: Access to all FDA drug label data

Requirements

  1. Node.js 18+ (uses built-in fetch)
  2. Valyu API key from https://platform.valyu.ai ($10 free credits)

CRITICAL: Script Path Resolution

The scripts/search commands in this documentation are relative to this skill's installation directory.

Before running any command, locate the script using:

DRUG_LABELS_SCRIPT=$(find ~/.claude/plugins/cache -name "search" -path "*/drug-labels-search/*/scripts/*" -type f 2>/dev/null | head -1)

Then use the full path for all commands:

$DRUG_LABELS_SCRIPT "ibuprofen warnings" 15

API Key Setup Flow

When you run a search and receive "setup_required": true, follow this flow:

  1. Ask the user for their API key: "To search FDA drug labels, I need your Valyu API key. Get one free ($10 credits) at https://platform.valyu.ai"

  2. Once the user provides the key, run:

    scripts/search setup <api-key>
    
  3. Retry the original search.

When to Use This Skill

  • Official FDA drug information and indications
  • Contraindications and warnings
  • Dosage and administration guidance
  • Clinical pharmacology data
  • Drug interaction information
  • Adverse reactions and safety monitoring

Output Format

{
  "success": true,
  "type": "drug_labels_search",
  "query": "ibuprofen warnings",
  "result_count": 10,
  "results": [
    {
      "title": "Drug Label Title",
      "url": "https://fda.gov/...",
      "content": "Label content, warnings, dosing...",
      "source": "drug-labels",
      "relevance_score": 0.95,
      "images": ["https://example.com/label.jpg"]
    }
  ],
  "cost": 0.025
}

Read the full file on GitHub · 212 lines

Files

What ships with it

2 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. 12d ago First seen · 212 lines · 27 tokens per session scan B 7d2bfe967d12

Subscribe to this mod's changes

drug-labels-search is a skill published in the GitHub repository yorkeccak/scientific-skills (61 stars, last pushed 7mo ago), licensed MIT. It adds 27 tokens to every session and 1,239 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.