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Response Validator

Validates skill responses against the standard FABER JSON schema to ensure workflow integrity.

SkillSecurity TestingSkill AuthoringOrchestration

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Key features

  • Validates response objects against a standard JSON schema
  • Integrates with the FABER workflow manager for automated response validation
  • Checks for required fields and conditional requirements (e.g., 'errors' array on failure)
  • Returns clear validation errors with specific field paths and fix suggestions
  • Supports both strict and lenient validation modes

Use cases

  • Ensuring all steps in an automated workflow return properly structured data.
  • Debugging custom skills by validating their output format before integration.
  • Maintaining system stability by rejecting malformed responses that could cause downstream errors.

FAQ

When should I use this skill?

Use this skill within any automated, multi-step AI process. It's essential for ensuring that the output of one step is valid before being passed as input to the next, which is critical for building reliable applications with Claude.

How does this skill improve my AI workflow?

It boosts workflow reliability by catching formatting errors early. This prevents cascading failures, simplifies debugging with clear error messages and fix suggestions, and guarantees that all skills in your workflow communicate consistently.

What are its key capabilities?

The Response Validator can perform both strict and lenient validation, check for required fields, validate conditional fields (e.g., an 'errors' array must exist on failure), and provide detailed, actionable error reports to help you fix issues quickly.

What does the Response Validator skill do?

This skill acts as a quality gatekeeper for your AI workflows. It automatically checks if the output from other skills conforms to a predefined JSON structure (the FABER schema), ensuring the data is correct and predictable.