What event types are supported by Hookify?

Hookify supports five main event types: bash (terminal commands), file (edits/writes), stop (completion checks), prompt (user input), and all (every event).

Can I block Claude from running dangerous commands?

Yes, by setting the action field to 'block' in the rule's frontmatter, you can prevent Claude from executing matched bash commands or file edits.

Where are Hookify rules stored in a project?

Rules are stored in the .claude/ directory at the root of your project, following the naming convention .claude/hookify.{rule-name}.local.md.

What is a Hookify rule?

A Hookify rule is a markdown file with YAML frontmatter that instructs Claude Code to trigger specific messages or actions when it detects defined patterns in commands, file edits, or user prompts.

How do I test my Hookify regex patterns?

You can test patterns using a Python command: python3 -c "import re; print(re.search(r'your_pattern', 'test text'))" or via online regex testers using the Python flavor.

Hookify Rule Writer

Name: Hookify Rule Writer
Author: nordeim

bynordeim

Developer Tools

Simplifies the creation and configuration of custom guardrails and automation rules for Claude Code.

About

This skill provides comprehensive guidance on authoring Hookify rules to enhance your Claude Code development workflow. It enables users to define custom triggers and messages based on specific events like terminal commands, file edits, or session completions. By leveraging YAML frontmatter and regex patterns, the skill helps developers implement project-specific security blocks, code quality warnings, and process checklists, ensuring that AI-driven coding remains safe, consistent, and compliant with team standards.

Key Features

Guidance on writing effective Python-compatible regex patterns for code detection
Standardized file naming and organization conventions within the .claude/ directory
Template generation for bash, file, stop, and prompt event triggers
Implementation of 'warn' versus 'block' actions for project safety
Advanced multi-condition rule configuration using field-based operators
0 GitHub stars

Use Cases

Enforcing code quality by warning against debug statements or unhandled TODOs
Creating pre-stop checklists to ensure tests and documentation are updated before finishing tasks
Preventing accidental execution of destructive terminal commands like 'rm -rf'

About

Key Features

Guidance on writing effective Python-compatible regex patterns for code detection
Standardized file naming and organization conventions within the .claude/ directory
Template generation for bash, file, stop, and prompt event triggers
Implementation of 'warn' versus 'block' actions for project safety
Advanced multi-condition rule configuration using field-based operators
0 GitHub stars

Use Cases

Enforcing code quality by warning against debug statements or unhandled TODOs
Creating pre-stop checklists to ensure tests and documentation are updated before finishing tasks
Preventing accidental execution of destructive terminal commands like 'rm -rf'