Which models are best for this skill?

The grok-4-1-fast model is highly recommended as it is specifically optimized for speed and efficient tool calling.

What is the primary advantage of xAI Agent Tools?

It manages the entire reasoning and tool-execution loop on the server side, eliminating the need for client-side handling of multiple tool invocations.

What tools are included in the xAI suite?

The suite currently supports x_search (Twitter/X), web_search, code_execution (Python sandbox), and document_search.

Can I control the costs of tool usage?

Yes, the skill supports cost-optimized patterns where you can set tool call budgets and limits within the agent's system prompt.

xAI Agent Tools for Grok

Name: xAI Agent Tools for Grok
Author: adaptationio

byadaptationio

Ciencia de Datos y ML

Enables autonomous tool calling for Grok models including X search, web search, and Python code execution.

Acerca de

This skill integrates the xAI Agent Tools API into Claude, allowing for server-side agentic workflows where Grok autonomously handles tool execution and reasoning loops. It bridges the gap between static LLM responses and real-time data by providing native access to Twitter/X posts, live web results, and a secure Python sandbox for data analysis. It is an essential capability for developers building complex research, financial analysis, or multi-step automated agents that require minimal client-side overhead and access to the latest social and web information.

Características Principales

Real-time X (Twitter) search with handle-specific filtering
Advanced tool call management and cost-optimization patterns
0 GitHub stars
Secure Python sandbox for dynamic code execution and analysis
Autonomous server-side reasoning and tool execution loops
Comprehensive web search for news and real-time information

Casos de Uso

Developing data-driven workflows using the Python execution environment for statistical tasks
Building financial analysis agents that synthesize X sentiment with live stock data
Creating automated research bots that track social media trends and news reports

Acerca de

Características Principales

Real-time X (Twitter) search with handle-specific filtering
Advanced tool call management and cost-optimization patterns
0 GitHub stars
Secure Python sandbox for dynamic code execution and analysis
Autonomous server-side reasoning and tool execution loops
Comprehensive web search for news and real-time information

Casos de Uso

Developing data-driven workflows using the Python execution environment for statistical tasks
Building financial analysis agents that synthesize X sentiment with live stock data
Creating automated research bots that track social media trends and news reports