validate-agent-files

Validating agent configuration files involves checking YAML frontmatter, required fields, naming conventions, and body content integrity. This skill automatically scans provider directories to ensure your AI assistant files adhere to defined schemas and best practices, preventing unexpected behavior and commit errors.

Common formatting errors in AI agent customization files include missing delimiters, vague descriptions, and incorrect file extensions. Running a validation check identifies these structural issues early, ensuring your agents, skills, prompts, and instructions are correctly formatted across multiple provider directories.

Checking the YAML frontmatter structure of agent files requires verifying field presence and adherence to defined schemas. This skill scans your .github/agents directory to detect missing required fields and validate naming conventions, ensuring your coding assistant configuration maintains structural integrity.

Yes, you can use this validation skill for files across multiple provider directories. It validates the format and structure of various AI coding assistant customization files, including agents, skills, prompts, and instructions, applying consistent schema rules regardless of the specific provider location.

Yes, CI/CD validation for agent files checks body content integrity alongside YAML frontmatter and naming conventions. Applying these coding standards ensures that your agent configuration files are correctly structured, preventing unexpected behavior and commit errors before they reach your repository.