drug-labels-search

Search FDA drug labels with natural language queries. Official drug information, indications, and safety data via Valyu.

912 stars

Best use case

drug-labels-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Search FDA drug labels with natural language queries. Official drug information, indications, and safety data via Valyu.

Teams using drug-labels-search should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/drug-labels-search/SKILL.md --create-dirs "https://raw.githubusercontent.com/wu-yc/LabClaw/main/skills/pharma/drug-labels-search/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/drug-labels-search/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How drug-labels-search Compares

Feature / Agentdrug-labels-searchStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Search FDA drug labels with natural language queries. Official drug information, indications, and safety data via Valyu.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Drug Labels Search

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:

```bash
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:
```bash
$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:**
   ```bash
   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

```json
{
  "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
}
```

## Processing Results

### With jq

```bash
# Get drug names
scripts/search "query" 10 | jq -r '.results[].title'

# Get URLs
scripts/search "query" 10 | jq -r '.results[].url'

# Extract full content
scripts/search "query" 10 | jq -r '.results[].content'
```

## Common Use Cases

### Safety Information

```bash
# Find safety data
scripts/search "anticoagulant bleeding risk warnings" 50
```

### Prescribing Guidance

```bash
# Search for dosing
scripts/search "pediatric dosing guidelines for antibiotics" 20
```

### Drug Interactions

```bash
# Find interaction data
scripts/search "CYP450 drug interaction warnings" 15
```

### Regulatory Information

```bash
# Search for approval data
scripts/search "accelerated approval indications oncology" 25
```


## Error Handling

All commands return JSON with `success` field:

```json
{
  "success": false,
  "error": "Error message"
}
```

Exit codes:
- `0` - Success
- `1` - Error (check JSON for details)

## API Endpoint

- Base URL: `https://api.valyu.ai/v1`
- Endpoint: `/search`
- Authentication: X-API-Key header

## Architecture

```
scripts/
├── search          # Bash wrapper
└── search.mjs      # Node.js CLI
```

Direct API calls using Node.js built-in `fetch()`, zero external dependencies.

## Adding to Your Project

If you're building an AI project and want to integrate Drug Labels Search directly into your application, use the Valyu SDK:

### Python Integration

```python
from valyu import Valyu

client = Valyu(api_key="your-api-key")

response = client.search(
    query="your search query here",
    included_sources=["valyu/valyu-drug-labels"],
    max_results=20
)

for result in response["results"]:
    print(f"Title: {result['title']}")
    print(f"URL: {result['url']}")
    print(f"Content: {result['content'][:500]}...")
```

### TypeScript Integration

```typescript
import { Valyu } from "valyu-js";

const client = new Valyu("your-api-key");

const response = await client.search({
  query: "your search query here",
  includedSources: ["valyu/valyu-drug-labels"],
  maxResults: 20
});

response.results.forEach((result) => {
  console.log(`Title: ${result.title}`);
  console.log(`URL: ${result.url}`);
  console.log(`Content: ${result.content.substring(0, 500)}...`);
});
```

See the [Valyu docs](https://docs.valyu.ai) for full integration examples and SDK reference.

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