writing-hookify-rules

To write custom Hookify rules, you define YAML frontmatter and a markdown body to specify bash event triggers, regex patterns for command matching, and the actions to take when a dangerous command like rm -rf is detected. The syntax supports multi-condition logic for precise tool usage control.

Hookify rules can target four event types: bash for shell commands, file for file operations, stop for session termination, and prompt for input processing. You define these in the YAML frontmatter to intercept and validate Claude's specific tool actions.

Yes, you need a solid understanding of regular expressions to define effective pattern matching rules in Hookify. The rule syntax relies on regex to match specific command strings and file operation patterns, and supports advanced multi-condition logic for complex filtering scenarios.

The best way to organize Hookify rules for file operations is to use the markdown body structure with clear YAML frontmatter definitions. Grouping rules by event type and following rule creation best practices ensures maintainable configurations for intercepting file modifications.

Yes, you can use multi-condition logic in Hookify rules to prevent accidental file deletion. By defining regex patterns within the file event type, you can specify exact file paths and operation types to block, ensuring important configuration files remain protected during automated tasks.

Hookify rules may not trigger on prompt events if the YAML frontmatter syntax is incorrect or the regex pattern fails to match the input. Properly structuring the markdown body and verifying multi-condition logic are essential for successfully intercepting prompt events.