Writing Hookify Rules

You define hookify rules using YAML frontmatter and Markdown messages to build structured patterns that detect risky prompts. This approach provides reusable content moderation rules to reduce risk in AI-assisted workflows.

Hookify rules are structured, reusable patterns that monitor and moderate prompts and commands in AI interactions. They use event types like bash, file, and prompt to detect dangerous patterns or sensitive data and display warning messages.

Yes, you can use regex to create advanced hookify rules that flag sensitive data patterns. By defining multi-condition rules, you can reliably detect specific text patterns and guide user interactions to ensure prompt safety.

You prevent dangerous bash commands by writing hookify rule files that target bash event patterns. These rules detect risky command structures and display actionable warning messages to stop unsafe execution in AI-assisted workflows.

The best way to test multi-condition hookify rules is to follow a comprehensive guide covering basic and advanced formats. Implement clear, actionable examples for your event types and message structures to ensure reliable, safe rule patterns.

No dependencies are required to create hookify rules. You can define safe rule patterns using standard YAML frontmatter and Markdown message formats without needing additional tools or external libraries.