A powerful integration for managing Zabbix monitoring data, hosts, and alerts through an AI-ready framework.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install zabbix
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install zabbix using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Zabbix AI Agent Skill?
The Zabbix skill for Openclaw Skills enables AI agents to interact directly with one of the most popular open-source monitoring solutions. It allows developers and DevOps teams to track performance, manage server availability, and respond to incidents across networks and cloud services. By utilizing the Membrane framework, this skill removes the complexity of authentication and API management, providing a clean interface for agents to query and manipulate monitoring data.
This integration is designed to bridge the gap between real-time infrastructure metrics and intelligent automation. Whether you are monitoring VMs, applications, or complex network topologies, the Zabbix skill provides the technical foundation needed to build autonomous monitoring and remediation agents.
Zabbix AI Agent Skill Use Cases
- Automating responses to Zabbix problems and incident alerts.
- Programmatically retrieving performance data for hosts and items.
- Provisioning and configuring new monitoring targets via AI commands.
- Consolidating monitoring reports for DevOps and IT operations teams.
- Building custom remediation workflows triggered by specific infrastructure events.
How Zabbix AI Agent Skill Works
- The AI agent utilizes the Membrane CLI to establish a secure connection with the Zabbix instance.
- User authentication is handled through the Membrane tenant, ensuring secure token management and lifecycle refresh.
- The agent performs action discovery based on natural language intents to identify the correct Zabbix API operation.
- Commands are executed through a proxy or pre-built actions, which normalize the communication with the Zabbix backend.
- The skill returns structured JSON data, allowing the agent to process monitoring results or take subsequent actions.
Zabbix AI Agent Skill Setup
To get started with this integration in your Openclaw Skills environment, install the Membrane CLI and authenticate:
npm install -g @membranehq/cli@latest
membrane login --tenant --clientName=openclaw
Ensure a connection to your Zabbix instance is established:
membrane connection ensure "https://your-zabbix-domain.com" --json
Follow the provided UI URL to complete the authentication in your browser. Once the connection state is READY, your agent can begin querying data.
Zabbix AI Agent Skill Data Schema & Taxonomy
The skill organizes monitoring data into logical entities mapped from the Zabbix API:
| Entity | Description |
|---|---|
| Host | Represents a networked device or service being monitored. |
| Item | A specific metric or data point (e.g., CPU, RAM) collected from a host. |
| Problem | An active incident or trigger state indicating a monitoring failure. |
| Action | Pre-configured workflows including input schemas for automated execution. |
Zabbix AI Agent Skill Advanced Features
- Transparent credential refresh that handles session tokens without manual intervention.
- Support for headless environments using code-based login completion.
- Intent-based action discovery to find the most relevant Zabbix operations via natural language.
- Direct API proxying for low-level requests to custom Zabbix endpoints.
- Automated connection polling to ensure agent readiness during setup.
SKILL.md
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