Which event types does this skill support?

It provides full simulation support for file edits, saves, and commits, with partial support for push events, tool usage, and agent starts.

Is it possible to use this skill in an automated CI/CD pipeline?

Absolutely. The skill can output results in JSON format, making it easy for automated scripts to verify that all hook manifests in a repository are valid and functional.

What is the primary purpose of the hook.simulate skill?

It is designed to validate the structure and behavior of Betty Framework hooks, ensuring patterns match correctly and commands execute as expected before they are officially registered.

Can I test hooks without actually running the underlying scripts?

Yes, the skill includes a dry-run mode that shows which files would be affected and what commands would run without actually executing them.

Hook Simulator

Name: Hook Simulator
Author: epieczko

byepieczko

Security & Testing

Tests and validates Betty Framework hook manifests to ensure correct trigger logic and command execution before deployment.

About

The hook.simulate skill provides a comprehensive testing environment for developers working with the Betty Framework. It allows you to validate manifest structures, test glob pattern matching against your local files, and simulate various event triggers like file edits or commits. By offering both dry-run and live execution modes, it ensures that your automation hooks behave exactly as expected, catching configuration errors and execution failures early in the development lifecycle.

Key Features

Multi-event simulation including on_file_edit and on_commit
Comprehensive manifest schema and field validation
Dry-run and live command execution with performance metrics
Structured JSON output for CI/CD and automation integration
0 GitHub stars
Real-time glob pattern matching for file discovery

Use Cases

Debugging complex file-matching patterns for automated linting or validation
Safe experimentation with new automation scripts without affecting live systems
Verifying hook behavior in CI/CD pipelines before merging to production

About

Key Features

Multi-event simulation including on_file_edit and on_commit
Comprehensive manifest schema and field validation
Dry-run and live command execution with performance metrics
Structured JSON output for CI/CD and automation integration
0 GitHub stars
Real-time glob pattern matching for file discovery

Use Cases

Debugging complex file-matching patterns for automated linting or validation
Safe experimentation with new automation scripts without affecting live systems
Verifying hook behavior in CI/CD pipelines before merging to production