hermes-agent-skill-authoring

To validate Hermes Agent skill frontmatter and documentation, use a standardized authoring framework that checks required fields like name and description, enforces metadata tagging conventions, and verifies writing quality to ensure predictable agent workflows.

Standardizing custom agent workflows requires enforcing repository conventions for category placement, frontmatter requirements, and documentation structure, which prevents inconsistency and ensures all new skills adhere to strict behavioral standards and predictable execution.

Automating skill authoring quality checks for YAML frontmatter involves applying validation logic that scans for required fields, cross-references metadata tagging, and flags common documentation pitfalls like no-op prose or premature completion.

Yes, the Hermes Agent skill loader requires specific frontmatter fields such as name and description to ensure compatibility, and validating these fields automatically prevents loading failures and maintains predictable agent behavior.

Custom agent skills fail quality checks during repository contribution due to missing frontmatter fields, incorrect category placement, or poor documentation structure that does not adhere to the repository's strict behavioral standards and validation logic.

Yes, you can use a validation framework to enforce documentation structure for new skills by checking frontmatter requirements, verifying category placement, and cross-referencing metadata tagging to maintain high-quality repository conventions.