Writing Hookify Rules

You can define custom AI behavior rules for code safety by writing declarative markdown files with YAML frontmatter that specify pattern matching and conditional logic to warn about or block potentially dangerous commands and insecure code patterns.

Yes, you can prevent an AI agent from editing sensitive files like .env by creating event-driven rules that trigger warnings or blocks specifically on file operations matching those filenames.

To block dangerous bash commands triggered by an AI agent, create a rule that triggers on bash command events and uses regex pattern matching to intercept and prevent execution of commands like rm -rf.

Yes, you need to understand regex to create behavioral guardrails for AI prompts, as effective implementation of the hookify rule file format requires regex knowledge for proper pattern matching and conditional logic.

Custom AI guardrails can trigger on four specific events during a coding session: bash commands, file operations, agent stop signals, and user prompts, allowing comprehensive behavioral control.

The best way to stop console.log statements from entering production is to create a custom rule that triggers a warning whenever console.log is detected during a file edit operation.