File Test Bug

What it does

This skill enables AI agents to execute file-based testing workflows, specifically designed to validate bug fixes or verify code changes within a repository. It streamlines the verification process by automating test runs directly against specific files or directories.

When to use it

• You need to quickly confirm that a recent code change resolves a reported issue without manual intervention.
• Your workflow requires automated validation of file modifications before merging pull requests.
• You are debugging an application and want the AI to run targeted tests on specific source files.
• You need to ensure regression stability after updating a particular module or library.

Key capabilities

• Executes testing commands against specified files in a repository context.
• Integrates with GitHub Copilot for Azure environments.
• Automates the verification of bug fixes and code updates.
• Provides immediate feedback on test results for targeted file changes.

Example prompts

• "Run unit tests specifically on the auth-service.js file to verify my latest fix."
• "Execute integration tests for the updated payment-gateway module in this repository."
• "Validate that my recent changes to config.yaml do not break existing test suites."

Tips & gotchas

Ensure your repository has a defined testing framework (e.g., Jest, Mocha) configured before invoking this skill, as it relies on existing scripts. The skill is most effective when used in environments where the AI agent has read/write access to the file system and execution permissions.