executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
drug-discovery-searchEnd-to-end drug discovery platform combining ChEMBL compounds, DrugBank, targets, and FDA labels. Natural language powered by Valyu.
Independent GitHub snapshot · Automated classification · Original documentation governs
name: drug-discovery-search description: End-to-end drug discovery platform combining ChEMBL compounds, DrugBank, targets, and FDA labels. Natural language powered by Valyu. keywords:
Search across all major drug discovery databases (ChEMBL, DrugBank, FDA drug labels, Open Targets) simultaneously 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_DISCOVERY_SCRIPT=$(find ~/.claude/plugins/cache -name "search" -path "*/drug-discovery-search/*/scripts/*" -type f 2>/dev/null | head -1)
Then use the full path for all commands:
$DRUG_DISCOVERY_SCRIPT "JAK2 inhibitors" 20
When you run a search and receive "setup_required": true, follow this flow:
Ask the user for their API key: "To search drug discovery 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.
{
"success": true,
"type": "drug_discovery_search",
"query": "JAK2 inhibitors",
"result_count": 20,
"results": [
{
"title": "Compound/Drug/Target Title",
"url": "https://...",
"content": "Full data including compounds, targets, mechanisms...",
"source": "chembl|drugbank|drug-labels|open-targets",
"relevance_score": 0.95,
"images": ["https://example.com/structure.png"]
}
],
"cost": 0.035
}
# 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
scripts/search "query" 20 | jq -r '.results[] | select(.source == "chembl") | .title'
# Find validated targets and compounds
scripts/search "BTK inhibitors for autoimmune diseases" 50
# Search SAR and compound data
scripts/search "EGFR inhibitors blood-brain barrier penetration" 40
# Find repurposing opportunities
scripts/search "mTOR inhibitors cancer and aging" 30
# Gather safety and interaction data
scripts/search "tyrosine kinase inhibitors cardiac toxicity" 60
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 Discovery 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-chembl", "valyu/valyu-drugbank", "valyu/valyu-drug-labels", "valyu/valyu-open-targets"],
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-chembl", "valyu/valyu-drugbank", "valyu/valyu-drug-labels", "valyu/valyu-open-targets"],
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.