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Minimax Tavily Search
by
Jack Zhang
· GitHub ↗
· v1.0.0
· MIT-0
87
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0
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0
Active Installs
1
Versions
Install in OpenClaw
/install minimax-tavily-search
Description
AI-optimized web search via Tavily API. Returns concise, relevant results for Minimax AI agents.
Usage Guidance
This skill will send search queries and any URLs you pass to api.tavily.com using your TAVILY_API_KEY. Only install if you trust Tavily and are comfortable with those requests being handled by their service. Store the API key securely with least privilege and avoid using the extract command on private/internal URLs or sensitive documents. Note the package.json references a missing index.js (functional mismatch only). Confirm your Node runtime provides global fetch (Node 18+) before use.
Capability Analysis
Type: OpenClaw Skill
Name: minimax-tavily-search
Version: 1.0.0
The skill bundle provides a legitimate interface for the Tavily Search API, allowing AI agents to perform web searches and content extraction. The scripts `search.mjs` and `extract.mjs` use standard Node.js fetch calls to communicate exclusively with official Tavily endpoints (api.tavily.com) and handle the API key via environment variables as expected. No evidence of malicious intent, data exfiltration, or prompt injection was found.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description, declared requirements (node, TAVILY_API_KEY), and included scripts all align: both scripts call api.tavily.com endpoints and require the TAVILY_API_KEY. Nothing in the package or scripts requests unrelated cloud credentials or services.
Instruction Scope
Runtime instructions and scripts transmit queries and provided URLs to Tavily (search and extract endpoints) and print returned answers/snippets. This is expected, but note that the extract script posts arbitrary URLs you pass to the external Tavily service — avoid sending private/internal links or sensitive content.
Install Mechanism
No installer/downloads are used (no install spec). The skill is delivered as scripts and SKILL.md. package.json exists but there is no install step; minor inconsistency: package.json's main points at index.js which is not included, but this is a non-security functional mismatch.
Credentials
Only one credential is required: TAVILY_API_KEY (declared as primary). The scripts use only that env var. The requested secret is proportional to contacting Tavily's API.
Persistence & Privilege
Skill is not always-enabled and does not request system-wide config or other skills' credentials. It can be invoked autonomously (platform default); that is expected but you should be aware it will use any provided TAVILY_API_KEY when invoked.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install minimax-tavily-search - After installation, invoke the skill by name or use
/minimax-tavily-search - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of minimax-tavily-search.
- Provides AI-optimized web search using the Tavily API, returning concise and relevant results.
- Supports customizable search with options for number of results, deep search, topic filtering (general/news), and date range for news.
- Includes a script to extract clean content from any URL.
- Requires a Tavily API key; designed for streamlined use by AI agents.
Metadata
Frequently Asked Questions
What is Minimax Tavily Search?
AI-optimized web search via Tavily API. Returns concise, relevant results for Minimax AI agents. It is an AI Agent Skill for Claude Code / OpenClaw, with 87 downloads so far.
How do I install Minimax Tavily Search?
Run "/install minimax-tavily-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Minimax Tavily Search free?
Yes, Minimax Tavily Search is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Minimax Tavily Search support?
Minimax Tavily Search is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Minimax Tavily Search?
It is built and maintained by Jack Zhang (@wenchao2046); the current version is v1.0.0.
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