Which events can trigger a Hookify rule?

Rules can be triggered by 'bash' commands, 'file' edits (writes/edits), 'stop' events (when the agent finishes), and 'prompt' events (user input).

Where should I store my Hookify rule files?

Rules should be saved in the .claude/ directory of your project root using the naming convention hookify.{rule-name}.local.md.

Can I prevent Claude from running specific commands?

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

What is a Hookify rule in Claude Code?

A Hookify rule is a markdown file with YAML frontmatter stored in the .claude directory that defines patterns for Claude to watch and specific messages to display when those patterns are matched.

How do I test my Hookify regex patterns?

You can test patterns using Python's regex engine via the terminal or online tools like regex101.com using the Python flavor.

Hookify Rule Configuration

Name: Hookify Rule Configuration
Author: chrismcgraw60

bychrismcgraw60

安全与测试

Standardizes the creation of custom guardrails and automation triggers to monitor and guide Claude's actions in real-time.

关于

The Hookify Rule Configuration skill empowers developers to define project-specific constraints and helpful reminders for Claude Code. By utilizing markdown files with YAML frontmatter, users can configure rules that trigger based on specific bash commands, file edits, or terminal events. This skill provides the syntax, patterns, and best practices needed to implement security guardrails (like preventing dangerous deletions), coding standards (like flagging debug logs), and workflow checklists, ensuring Claude adheres to your team's unique development requirements.

主要功能

Best practices for designing actionable warning and error messages
Template generation for Hookify YAML frontmatter and rule structure
0 GitHub stars
Regex pattern optimization for bash commands and file modifications
Guidance on triggering rules for specific events like bash, file, or stop
Support for multi-condition logic using file paths and text segments

使用场景

Automating code reviews by flagging patterns like console.log or hardcoded API keys
Implementing mandatory pre-completion checklists to ensure tests and docs are updated
Preventing dangerous terminal commands such as rm -rf or unauthorized sudo usage

关于

主要功能

Best practices for designing actionable warning and error messages
Template generation for Hookify YAML frontmatter and rule structure
0 GitHub stars
Regex pattern optimization for bash commands and file modifications
Guidance on triggering rules for specific events like bash, file, or stop
Support for multi-condition logic using file paths and text segments

使用场景

Automating code reviews by flagging patterns like console.log or hardcoded API keys
Implementing mandatory pre-completion checklists to ensure tests and docs are updated
Preventing dangerous terminal commands such as rm -rf or unauthorized sudo usage