About biomedical-search
biomedical-search is a skill for researchers and clinicians to search biomedical literature, trials, and drug labels using natural-language queries. It combines semantic search across multiple named sources into one result set, with full text and available image links.
Key features
- 01Natural-language semantic search
- 02Search PubMed and preprint databases
- 03Search trials and FDA drug labels
- 04Unified results across sources
- 05Full text and available image links
Use cases
- 01Gather evidence for clinical study design
- 02Assess drug safety across sources
- 03Research treatment protocols
- 04Prepare medical communications
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ yorkeccak/ scientific-skills --skill biomedical-searchAfter installing, type/biomedical-searchin Claude Code to confirm it loaded.
Bundled filesscripts/searchscripts/search.mjs
Details
From the project READMEBiomedical Search
Search across all major biomedical databases (PubMed, bioRxiv, medRxiv, ClinicalTrials.gov, FDA drug labels) simultaneously 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 content from literature, trials, and drug labels
- Image Links: Includes figures and images when available
- Comprehensive Coverage: Search across PubMed, bioRxiv, medRxiv, clinical trials, and drug labels simultaneously
- Unified Results: Get results from all biomedical sources in a single query
Requirements
- Node.js 18+ (uses built-in fetch)
- Valyu API key from https://platform.valyu.ai ($10 free credits)
CRITICAL: Script Path Resolution
The scripts/search commands in this documentation are relative to this skill's installation directory.
Before running any command, locate the script using:
BIOMEDICAL_SCRIPT=$(find ~/.claude/plugins/cache -name "search" -path "*/biomedical-search/*/scripts/*" -type f 2>/dev/null | head -1)
Then use the full path for all commands:
$BIOMEDICAL_SCRIPT "CAR-T cell therapy" 20
API Key Setup Flow
When you run a search and receive "setup_required": true, follow this flow:
-
Ask the user for their API key: "To search biomedical databases, 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.
When to Use This Skill
- Complete biomedical information gathering
- Clinical research combined with basic science
- Finding trials, literature, and official drug info together
- Evidence-based medicine research
- Disease understanding from multiple angles
Output Format
{
"success": true,
"type": "biomedical_search",
"query": "CAR-T cell therapy",
"result_count": 20,
"results": [
{
"title": "Title",
"url": "https://...",
"content": "Full content...",
"source": "pubmed|biorxiv|medrxiv|clinical-trials|drug-labels",
"relevance_score": 0.95,
"images": ["https://example.com/figure1.jpg"]
}
],
"cost": 0.035
}
Processing Results
With jq
# Get titles
scripts/search "query" 20 | jq -r '.results[].title'
# Get URLs
scripts/search "query" 20 | jq -r '.results[].url'
# Extract full content
scripts/search "query" 20 | jq -r '.results[].content'
# Filter by source type
scripts/search "query" 20 | jq -r '.results[] | select(.source == "clinical-trials") | .title'
Common Use Cases
Clinical Research Planning
# Gather evidence for clinical study design
scripts/search "phase 2 trials checkpoint inhibitors melanoma" 50
Drug Safety Assessment
# Search literature, labels, and trials for safety data
scripts/search "SGLT2 inhibitors cardiovascular safety" 40
Treatment Protocol Development
# Find current practice and emerging approaches
scripts/search "pembrolizumab dosing regimens NSCLC" 30
Medical Writing
# Comprehensive research for medical communications
scripts/search "JAK inhibitors rheumatoid arthritis efficacy" 60
Error Handling
All commands return JSON with success field:
{
"success": false,
"error": "Error message"
}
Exit codes:
0- Success1- 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 Biomedical Search directly into your application, use the Valyu SDK:
Python Integration
from valyu import Valyu
client = Valyu(api_key="your-api-key")
response = client.search(
query="your search query here",
included_sources=["valyu/valyu-pubmed", "valyu/valyu-biorxiv", "valyu/valyu-medrxiv", "valyu/valyu-clinical-trials", "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
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-pubmed", "valyu/valyu-biorxiv", "valyu/valyu-medrxiv", "valyu/valyu-clinical-trials", "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.