Where are these rules stored in my project?

Hookify rules are stored in the '.claude/' directory at your project root, using the naming convention 'hookify.{rule-name}.local.md'.

How do I test if my regex pattern works?

You can test patterns using a Python regex tester or online tools like regex101.com using the Python flavor, as Hookify utilizes Python-style regex syntax.

Can I apply rules to specific file types only?

Yes, by using the advanced 'conditions' format, you can specify a 'file_path' field with a 'regex_match' operator to target specific extensions like '.ts' or '.env'.

What is a Hookify rule?

A Hookify rule is a markdown file with YAML frontmatter that defines specific patterns (using regex) for Claude to monitor. When a match is found during a bash command or file edit, Claude displays a predefined message or warning.

Can I block Claude from running specific commands?

Yes, by setting the 'action' field to 'block' and the 'event' to 'bash', you can prevent Claude from executing dangerous commands that match your defined regex patterns.

Hookify Rule Creator

Name: Hookify Rule Creator
Author: lusya123

bylusya123

Security & Testing

Automates the creation and configuration of project-specific guardrails and monitoring patterns for Claude Code.

About

Hookify Rule Creator enables developers to define sophisticated guardrails and automated reminders that monitor Claude's behavior in real-time. By using a YAML-based markdown format, this skill helps users configure rules that trigger on bash commands, file modifications, and session completions. It is particularly useful for enforcing security policies, preventing dangerous terminal commands, ensuring coding standards like removing debug logs, and providing automated checklists to maintain project quality throughout the development lifecycle.

Key Features

Monitor specific events including bash commands, file modifications, and prompt submissions
Define custom project guardrails using YAML frontmatter and Markdown
Implement complex logic with multi-condition matching and field-specific regex
Automate security warnings for sensitive files and dangerous terminal commands
0 GitHub stars
Create dynamic completion checklists to ensure process compliance

Use Cases

Automating pre-flight checklists to remind the AI to run tests or update documentation before finishing
Enforcing coding standards by flagging prohibited patterns like 'console.log' or 'eval' in production code
Preventing accidental execution of destructive terminal commands like 'rm -rf' or 'sudo'

About

Key Features

Monitor specific events including bash commands, file modifications, and prompt submissions
Define custom project guardrails using YAML frontmatter and Markdown
Implement complex logic with multi-condition matching and field-specific regex
Automate security warnings for sensitive files and dangerous terminal commands
0 GitHub stars
Create dynamic completion checklists to ensure process compliance

Use Cases

Automating pre-flight checklists to remind the AI to run tests or update documentation before finishing
Enforcing coding standards by flagging prohibited patterns like 'console.log' or 'eval' in production code
Preventing accidental execution of destructive terminal commands like 'rm -rf' or 'sudo'