validate-agent-files

To validate YAML frontmatter in AI agent configuration files, you need a tool that checks for required delimiters, verifies specific attribute presence and format, and ensures correct file structure across multiple providers to prevent unexpected AI behavior.

Formatting errors in AI coding assistant customization files are typically caused by missing YAML frontmatter delimiters, incorrect naming conventions, vague descriptions, or improper file extensions. Validating these attributes ensures smooth integration and reliable agent behavior.

Yes, you can check multiple AI agent file formats for correct structure by validating agents, skills, prompts, and instructions. This process verifies required YAML frontmatter, specific attribute presence, naming conventions, and body content integrity across different providers.

The best way to check agent file structure before committing new configurations is to run an automated validation process on your .agents/skills directory. This catches missing frontmatter delimiters, vague descriptions, and incorrect extensions to ensure smooth integration.

Agent file validation works across different AI coding assistant providers by checking for required YAML frontmatter, specific attribute formats, and naming conventions. This cross-provider validation ensures your agent customization files maintain correct structure and format universally.

Your AI coding assistant may behave unexpectedly because new prompt files contain formatting errors like missing YAML frontmatter, vague descriptions, or incorrect file extensions. Validating the structure and attributes of these configuration files prevents such integration issues.