knowledge

Run a validation check on the Dojo node manifest to evaluate aliases, triggers, body depth, sections, links, and actionability. The process outputs JSON with warnings and stats to ensure the node is discoverable and actionable before publishing.

A documentation node is weak for agent learning when it lacks discovery signals like aliases and triggers, has insufficient body or section depth, or contains no executable follow-up links, making it non-actionable despite passing basic schema validation.

Yes, you need Node.js 18+ and access to the Dojo node tree to check manifests for missing triggers, insufficient body depth, and broken links. The validation produces JSON output with warnings, stats, and link-level checks.

Enforce minimum body length and section counts by applying validation rules to the Dojo context node manifest. The validator measures long-form content depth and section structure, returning JSON warnings when nodes fall below required thresholds.

The best way to ensure actionable follow-through is to validate the node manifest for graph connections and executable follow-up links. This turns static documentation into actionable workflows by verifying at least one valid next-step link exists.

Dojo node validation checks link-level connections in addition to high-level schema structure. It verifies graph connections and produces JSON output with specific link-level checks to ensure nodes support actionable agent workflows.