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Install in OpenClaw
/install my-liang-tavily-search
Description
Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata.
README (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 \x3Ccount> |
Number of results (1-20) | 10 |
--depth \x3Cmode> |
Search depth: ultra-fast, fast, basic, advanced |
basic |
--topic \x3Ctopic> |
Topic: general or news |
general |
--time-range \x3Crange> |
Time range: day, week, month, year |
- |
--include-domains \x3Cdomains> |
Comma-separated domains to include | - |
--exclude-domains \x3Cdomains> |
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
Usage Guidance
This skill appears to do what it claims — it needs Node and your Tavily API key and calls Tavily's official API. Before installing: (1) verify you trust tavily.com and are comfortable sending search queries (and optionally page content) to that service; using --raw-content or similar options may cause more content to be included in API requests, so avoid passing sensitive data; (2) confirm the node runtime on your agent supports global fetch (Node 18+), or run with an appropriate environment; (3) note a minor metadata mismatch (ownerId/version) between the registry listing and _meta.json — if provenance is important, ask the publisher for clarification or inspect the skill source yourself; (4) because the skill can be invoked by the agent, consider limiting when it may run automatically if you have strict data-handling policies.
Capability Analysis
Type: OpenClaw Skill
Name: my-liang-tavily-search
Version: 1.0.0
The skill is a legitimate implementation of a web search tool using the Tavily API. The script `scripts/search.mjs` safely parses command-line arguments and performs a standard POST request to the official Tavily endpoint (https://api.tavily.com/search) using the provided API key. No malicious behaviors such as data exfiltration, unauthorized execution, or prompt injection were identified.
Capability Assessment
Purpose & Capability
Name/description request Node and a TAVILY_API_KEY and the code performs a POST to https://api.tavily.com/search — these requirements align with a web-search skill that uses Tavily's API.
Instruction Scope
SKILL.md and scripts/search.mjs confine actions to building a search request and calling the Tavily API. The runtime does not read local files, other environment variables, or unrelated system configuration, and it only sends the query and declared options to Tavily.
Install Mechanism
There is no install spec (instruction-only with an included Node script). Nothing is downloaded or written to disk by an installer; the script is run directly with node.
Credentials
Only TAVILY_API_KEY is required and used as the Bearer token for the Tavily API. No additional secrets or unrelated credentials are requested.
Persistence & Privilege
The skill is not configured always:true and does not request system-wide persistence or modification of other skills. Autonomous invocation is allowed by platform default but not elevated by this skill.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install my-liang-tavily-search - After installation, invoke the skill by name or use
/my-liang-tavily-search - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Tavily Search skill for web search via Tavily's LLM-optimized API.
- Returns relevant web results with content snippets, scores, and metadata.
- Script supports search options including result count, depth, topics, time range, domain filters, and output format.
- API key authentication via config or environment variable (TAVILY_API_KEY).
Metadata
Frequently Asked Questions
What is My Liang Tavily Search?
Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata. It is an AI Agent Skill for Claude Code / OpenClaw, with 272 downloads so far.
How do I install My Liang Tavily Search?
Run "/install my-liang-tavily-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is My Liang Tavily Search free?
Yes, My Liang Tavily Search is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does My Liang Tavily Search support?
My Liang Tavily Search is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created My Liang Tavily Search?
It is built and maintained by ohMaxy (@ohmaxy); the current version is v1.0.0.
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