Writing Hookify Rules

You define custom behavioral rules for AI agents by creating markdown files with YAML frontmatter that specify rule names, events, and patterns for bash commands, file edits, and user prompts.

To prevent AI from deleting sensitive files, create custom rules using event-based pattern matching that trigger warnings whenever specific bash commands, such as rm -rf, target protected file paths like .env files.

Yes, you can implement complex conditional logic for AI code safety rules by defining multiple conditions based on file paths, text content, or bash commands within the YAML frontmatter of your rule files.

Event-based pattern matching for AI-assisted development workflows is a mechanism that activates predefined behavioral rules when specific triggers occur during file edits, bash command execution, or user prompt processing.

To create a hookify rule warning about console.log statements, write a markdown file with YAML frontmatter defining the event trigger and text pattern matching logic to detect console.log in your target files.

No dependencies are required to write behavioral control rules for AI, as the rules are managed entirely through standard markdown files with YAML frontmatter for rule creation, activation, and event-based pattern matching.