A comprehensive guide to intercepting and customizing AI agent behavior using the powerful hook system in Openclaw Skills.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-hook-examples
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 openclaw-hook-examples 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 OpenClaw Hook Examples?
OpenClaw Hooks are versatile interception points that allow developers to inject custom logic into an AI agent's lifecycle. By leveraging these hooks within Openclaw Skills, you can monitor tool execution, modify prompts, and even reroute model requests based on real-time context. This system provides a robust framework for building secure, observable, and highly adaptive AI assistants that respond intelligently to specific operational requirements.
Whether you need to enforce security policies or optimize performance by switching LLM providers on the fly, the hook system offers the necessary hooks to modify the agent's internal state. This makes it an essential tool for developers looking to build professional-grade agentic workflows with Openclaw Skills.
OpenClaw Hook Examples Use Cases
- Auditing tool execution for security and compliance monitoring in real-time.
- Blocking dangerous shell commands or sensitive tool calls in non-privileged sessions.
- Dynamically switching between LLM providers (e.g., DeepSeek for coding, Qwen for summaries) based on task intent.
- Validating input parameters before they reach the execution environment to prevent injection attacks.
- Handling subagent lifecycle events to coordinate complex multi-agent workflows.
How OpenClaw Hook Examples Works
- Identify the specific lifecycle event you want to intercept, such as a tool call, model resolution, or subagent spawning.
- Define an asynchronous handler function that receives the event data and execution context from Openclaw Skills.
- Use the registerHook method to bind your custom logic to the specific hook timing (e.g., before_tool_call).
- Evaluate the event data within your handler to determine if the action should be blocked, modified, or logged.
- Return a control object (e.g., { block: true }) to the agent to signal how to proceed with the execution lifecycle.
OpenClaw Hook Examples Setup
To implement hooks, you must register them within your plugin's entry point. Ensure your environment is configured for Openclaw Skills development before adding your custom handlers.
export default definePluginEntry({
id: "my-hook-plugin",
name: "My Hook Plugin",
register(api) {
// Register a hook to monitor tool calls
api.registerHook("before_tool_call", async ({ event, ctx }) => {
console.log(`Tool ${event.tool.name} called`);
return {};
});
}
});
OpenClaw Hook Examples Data Schema & Taxonomy
The hook system in Openclaw Skills utilizes a structured event and context schema to pass data to your handlers.
| Attribute | Description | Data Type |
|---|---|---|
| event.tool.name | The name of the tool being invoked | String |
| event.tool.params | The arguments passed to the tool | Object |
| event.messages | The current conversation history or prompt | Array |
| ctx.sessionKey | Unique identifier for the current agent session | String |
| ctx.session.elevated | Boolean flag indicating if the session has admin privileges | Boolean |
| return.block | If true, stops the execution of the intercepted action | Boolean |
| return.reason | Message explaining why an action was blocked | String |
OpenClaw Hook Examples Advanced Features
- Granular execution control with the ability to cancel message sending before it reaches the provider.
- Dynamic model and provider routing to optimize cost and performance for Openclaw Skills users.
- Support for 16+ hook types covering the entire agent lifecycle from resolution to subagent termination.
- Priority-based execution ensuring that multiple hooks registered on the same event run in a predictable order.
- Parameter validation logic that can prevent dangerous command patterns like recursive deletion or unauthorized access.
SKILL.md
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