agent-runtime-hooks

Updated Jul 8, 2026

Search Tags:#error handling #AI agent #tool calls #lifecycle hooks #execution control

Ready to run

npx skills add https://github.com/alceupassos/hub --skill agent-runtime-hooks-alceupassos

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-runtime-hooks
Source: https://github.com/alceupassos/hub/tree/main/.agents/skills/agent-runtime-hooks
Command: npx skills add https://github.com/alceupassos/hub --skill agent-runtime-hooks-alceupassos

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides the ability to control and enhance AI agent execution by implementing hooks for various lifecycle events, enabling detailed observation, customization, and error handling.

Core Features & Use Cases

Lifecycle Hook Management: Register and manage hooks for various stages of agent execution, including before and after tool calls, human interventions, and lifecycle events.
Customization: Customize tool calls, human interventions, and agent execution with custom handlers.
Error Handling: Improve error handling by adding hooks to catch and respond to errors during agent execution.
Use Case: For a user who wants to ensure that every tool call within an agent is logged and that the system pauses for human approval before certain critical steps.

Quick Start

Frequently Asked Questions about agent-runtime-hooks

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

FAQPage Schema

How do I add lifecycle hooks to an AI agent for monitoring tool calls?▼

You can register lifecycle hooks for AI agent execution to monitor and modify tool calls by applying before and after event handlers. This enables detailed observation and execution control over agent operations.

Can I pause an AI agent for human approval before critical tool calls execute?▼

Yes, you can pause AI agent execution for human approval by registering hooks for human interventions. This allows the system to pause before certain critical steps and resume after review.

What is the best way to handle errors during AI agent execution?▼

The best way to handle errors during AI agent execution is by adding lifecycle hooks to catch and respond to errors. This improves error handling by applying custom handlers to various execution stages.

Does this approach support customizing context compression in agent workflows?▼

Yes, lifecycle hooks support customizing context compression in agent workflows. You can register handlers for context compression events to modify and control complex agent operations.

When do I need lifecycle hooks for AI agent execution control?▼

You need lifecycle hooks for AI agent execution control when managing complex workflows that require detailed observation, custom tool call handling, human interventions, and error responses.

How do I log every step in an AI agent's execution automatically?▼

To log every step in an AI agent's execution, register a new hook for the 'beforeStep' event. This logs the start of each step in the agent's execution automatically.