exaaiagent

Onboard AI agents to operate ExaAiAgent and coordinate security testing workflows.

12|1|Updated Dec 4, 2025

Search Tags:#onboarding #multi-agent #maintenance #docker #litellm #exaaiagent #prompt-modules

Ready to run

npx skills add https://github.com/hleliofficiel/ExaAiAgent --skill exaaiagent

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: exaaiagent
Source: https://github.com/hleliofficiel/ExaAiAgent/tree/main
Command: npx skills add https://github.com/hleliofficiel/ExaAiAgent --skill exaaiagent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Onboard and coordinate AI agents to operate ExaAiAgent, enabling managed, multi-agent penetration testing workflows and easier maintenance.

Core Features & Use Cases

Onboard external agents to operate ExaAiAgent and run scans from CLI/TUI
Manage multi-agent coordination and maintenance using LiteLLM-compatible providers
Support onboarding with various providers (OpenAI, Anthropic, OpenRouter, Ollama, Gemini-compatible endpoints)

Quick Start

Prompt an AI agent to onboard ExaAiAgent and begin a coordinated security testing workflow.

Frequently Asked Questions about exaaiagent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I onboard AI agents for multi-agent security testing workflows?▼

To onboard AI agents for multi-agent security testing, you prompt an external agent to read the SKILL.md entry point and configure the environment variables EXAAI_LLM, LLM_API_KEY, and LLM_API_BASE to coordinate scans via CLI or TUI.

Can I use LiteLLM-compatible providers like Ollama and OpenRouter to run AI-assisted security scans?▼

Yes, you can use LiteLLM-compatible providers to run AI-assisted security scans. The system supports OpenAI, Anthropic, OpenRouter, Ollama, and Gemini-compatible endpoints by configuring the LLM_API_BASE and LLM_API_KEY variables.

What's the best way to operate and maintain multi-agent penetration testing environments?▼

The best way to operate and maintain multi-agent penetration testing environments is to deploy within a Docker-driven sandbox, ensuring isolated execution while managing agent coordination through LiteLLM-compatible configurations.

Do I need Docker to orchestrate AI security testing workflows?▼

Yes, you need Docker to orchestrate AI security testing workflows. A Docker-driven sandbox is required to provide the isolated environment necessary for safely running and coordinating external AI agents during security scans.

Why does my LiteLLM configuration fail when onboarding external AI agents for security testing?▼

Your LiteLLM configuration may fail during security testing onboarding if the required EXAAI_LLM, LLM_API_KEY, and LLM_API_BASE environment variables are not properly set to match your chosen provider's endpoint specifications.

How does prompt-based onboarding work for coordinating AI-assisted penetration testing?▼

Prompt-based onboarding for AI-assisted penetration testing works by directing an external AI agent to the SKILL.md file, which orchestrates the agent to initiate and manage coordinated security testing workflows via CLI or TUI commands.