AI Feedback Reporter

To prevent AI from writing code that violates coding standards, you can audit loaded skill rules against planned actions before any file write occurs. This pre-write checkpoint detects conflicts with skill anti-patterns and prompts for a fix.

Automated code auditing works by intercepting planned file write operations to check them against active skill rules. If a violation is detected, it generates a detailed feedback report using a command-line tool to prompt for correction.

Yes, you can check if planned code changes conflict with active skill rules. The auditing mechanism evaluates actions against loaded skills before execution, automatically reporting violations and ensuring adherence to frameworks.

Yes, the pre-write code audit supports multiple programming languages and frameworks. It ensures adherence to coding standards across various environments by validating actions against any loaded skill rules, such as theme system checks.

When a skill compliance violation is detected during code generation, the system automatically generates a detailed feedback report using a CLI command. It then prompts for a fix to ensure the code adheres to the active rules.

Yes, you need the agent-skills-standard dependency to run violation reporting checks. This standard provides the foundational skill rules and structure required to audit code actions and detect anti-patterns before writing files.