openclaw/tavily-search
15914355527/liang-tavily-search-v2/SKILL.md
Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata.
$ install --global
skillsauthnpx skillsauth add openclaw/skills tavily-searchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 3, 2026, 2:34 AM271.4s1 file scanned
SKILL.md
Tavily Search
Search the web and get relevant results optimized for LLM consumption.
Authentication
Get your API key at https://tavily.com and add to your OpenClaw config:
{
"skills": {
"entries": {
"tavily-search": {
"enabled": true,
"apiKey": "tvly-YOUR_API_KEY_HERE"
}
}
}
}
Or set the environment variable:
export TAVILY_API_KEY="tvly-YOUR_API_KEY_HERE"
Quick Start
Using the Script
node {baseDir}/scripts/search.mjs "query"
node {baseDir}/scripts/search.mjs "query" -n 10
node {baseDir}/scripts/search.mjs "query" --deep
node {baseDir}/scripts/search.mjs "query" --topic news
Examples
# Basic search
node {baseDir}/scripts/search.mjs "python async patterns"
# With more results
node {baseDir}/scripts/search.mjs "React hooks tutorial" -n 10
# Advanced search
node {baseDir}/scripts/search.mjs "machine learning" --deep
# News search
node {baseDir}/scripts/search.mjs "AI news" --topic news
# Domain-filtered search
node {baseDir}/scripts/search.mjs "Python docs" --include-domains docs.python.org
Options
| Option | Description | Default |
|--------|-------------|---------|
| -n <count> | Number of results (1-20) | 10 |
| --depth <mode> | Search depth: ultra-fast, fast, basic, advanced | basic |
| --topic <topic> | Topic: general or news | general |
| --time-range <range> | Time range: day, week, month, year | - |
| --include-domains <domains> | Comma-separated domains to include | - |
| --exclude-domains <domains> | Comma-separated domains to exclude | - |
| --raw-content | Include full page content | false |
| --json | Output raw JSON | false |
Search Depth
| Depth | Latency | Relevance | Use Case |
|-------|---------|-----------|----------|
| ultra-fast | Lowest | Lower | Real-time chat, autocomplete |
| fast | Low | Good | Need chunks but latency matters |
| basic | Medium | High | General-purpose, balanced |
| advanced | Higher | Highest | Precision matters, research |
Tips
- Keep queries under 400 characters - Think search query, not prompt
- Break complex queries into sub-queries - Better results than one massive query
- Use
--include-domainsto focus on trusted sources - Use
--time-rangefor recent information - Filter by
score(0-1) to get highest relevance results
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