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drug-labels-search
Search FDA drug labels with natural language queries. Official drug information, indications, and safety data via Valyu.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Search FDA drug labels with natural language queries. Official drug information, indications, and safety data via Valyu.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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| name | drug-labels-search |
| description | Search FDA drug labels with natural language queries. Official drug information, indications, and safety data via Valyu. |
| keywords | ["fda-drug-labels","drug-safety","indications","pharmacology","drug-interactions","semantic-search"] |
| license | MIT |
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.
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
When you run a search and receive "setup_required": true, follow this flow:
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"
Once the user provides the key, run:
scripts/search setup <api-key>
Retry the original search.
{
"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
}
# 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'
# Find safety data
scripts/search "anticoagulant bleeding risk warnings" 50
# Search for dosing
scripts/search "pediatric dosing guidelines for antibiotics" 20
# Find interaction data
scripts/search "CYP450 drug interaction warnings" 15
# Search for approval data
scripts/search "accelerated approval indications oncology" 25
All commands return JSON with success field:
{
"success": false,
"error": "Error message"
}
Exit codes:
0 - Success1 - Error (check JSON for details)https://api.valyu.ai/v1/searchscripts/
├── search # Bash wrapper
└── search.mjs # Node.js CLI
Direct API calls using Node.js built-in fetch(), zero external dependencies.
If you're building an AI project and want to integrate Drug Labels Search directly into your application, use the Valyu SDK:
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]}...")
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 for full integration examples and SDK reference.