hookify-rules

You can enforce automated AI behavioral rules by defining regex-based pattern matching on bash commands, file operations, and user prompts. This approach automatically warns or blocks dangerous operations to maintain coding standards and prevent security risks.

Yes, you can block dangerous shell commands like rm -rf by creating rules with regex-based triggers. The system matches these patterns against bash commands to automatically warn or block risky operations before execution.

To prevent committing files with API keys, create a rule that monitors file edits and bash commands using regex pattern matching. The system automatically warns you whenever an attempt is made to add sensitive credentials to unignored files.

The best way to set up workflow compliance is by creating and managing local rule files that monitor file operations through regex-based triggers. This ensures automated enforcement of your project-specific safety policies.

Yes, you need the hookify configuration system to be active within your project root directory. This prerequisite environment is required to facilitate the creation and management of the local rule files used for enforcing standards.

You can monitor bash commands, file edits, and user prompts through regex-based pattern matching. This allows you to define custom triggers that automatically warn or block operations violating your project-specific behavioral guardrails.