skills/clinical-trials-search/SKILL.md
Search ClinicalTrials.gov with natural language queries. Find clinical trials, enrollment, and outcomes using Valyu semantic search.
npx skillsauth add Zaoqu-Liu/ScienceClaw clinical-trials-searchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Search the complete ClinicalTrials.gov database of clinical studies 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:
CLINICAL_TRIALS_SCRIPT=$(find ~/.claude/plugins/cache -name "search" -path "*/clinical-trials-search/*/scripts/*" -type f 2>/dev/null | head -1)
Then use the full path for all commands:
$CLINICAL_TRIALS_SCRIPT "CAR-T cell therapy trials" 15
When you run a search and receive "setup_required": true, follow this flow:
Ask the user for their API key: "To search ClinicalTrials.gov, 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": "clinical_trials_search",
"query": "CAR-T cell therapy trials",
"result_count": 10,
"results": [
{
"title": "Trial Title",
"url": "https://clinicaltrials.gov/...",
"content": "Trial details, phase, conditions, outcomes...",
"source": "clinical-trials",
"relevance_score": 0.95,
"images": []
}
],
"cost": 0.025
}
# Get trial titles
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 drug trials
scripts/search "phase 2 trials for Alzheimer's disease" 50
# Search for treatment studies
scripts/search "checkpoint inhibitor combinations in lung cancer" 20
# Find device trials
scripts/search "continuous glucose monitoring device studies" 15
# Search for intervention studies
scripts/search "behavioral interventions for obesity" 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 Clinical Trials 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-clinical-trials"],
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-clinical-trials"],
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.
testing
Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.
tools
Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.
development
Complete mass spectrometry analysis platform. Use for proteomics workflows feature detection, peptide identification, protein quantification, and complex LC-MS/MS pipelines. Supports extensive file formats and algorithms. Best for proteomics, comprehensive MS data processing. For simple spectral comparison and metabolite ID use matchms.
development
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.