A new Python package called claude-hook-utils streamlines the creation of custom hooks for Claude Code, eliminating repetitive boilerplate code that developers typically write. The package provides a clean framework for extending HookHandler and implementing validation logic at different execution stages.

Claude Code hooks run at four key points: PreToolUse before tool execution, PostToolUse after completion, UserPromptSubmit when prompts are submitted, and SessionStart when sessions begin. These hooks enable file validation, content checking, and policy enforcement during AI-assisted development workflows.

The package handles JSON parsing from stdin, validates input structures, formats responses correctly, and manages error handling automatically. Developers simply extend HookHandler and override the specific hook methods they need, with typed dataclasses for inputs and builder patterns for responses.

Available via pip install, the utility supports multiple hook types in single Python programs and includes JSONL-based logging for debugging. The framework lets teams enforce coding standards, validate file locations, and block unsafe operations without wrestling with low-level hook mechanics.