AI Feedback Reporter

You can audit AI code changes for compliance by automating the auditing of loaded skills to detect and report violations before file write operations occur. This enforces adherence to predefined coding standards and prevents potential violations.

Proactive violation detection automatically checks if planned code changes conflict with rules defined in loaded skills. It identifies issues like hardcoded colors in Flutter apps before the code is actually written to maintain code quality.

To generate an automated feedback report for skill rule violations, run the feedback command with specific parameters detailing the violation context and skill instruction. This reports the issue with detailed context before file modification.

Yes, AI code auditing works across various programming languages and frameworks. It enforces adherence to skill rules and anti-patterns regardless of the specific language or framework being used for the file write operation.

Yes, you need the agent-skills-standard dependency to run AI feedback reporting. This prerequisite provides the foundational standard required to audit loaded skills and trigger feedback commands for compliance enforcement.

You should not rely on automated skill auditing when no predefined skill rules or anti-patterns are loaded for your specific programming language or framework, as the audit requires loaded skills to detect and report compliance violations.