structured-output-validator

What problem does it solve?

This Skill prevents applications from trusting malformed or unsafe LLM responses by turning model output into an explicit, validated contract before any downstream code uses it.

Core Features & Use Cases

• Schema Enforcement: Define required fields, types, enums, ranges, formats, and array bounds for structured model output.
• Validate Before Use: Parse and validate every response before reading fields, dispatching tools, or updating records.
• Semantic Checks: Verify allowed values, tenant-scoped IDs, referential sanity, and cross-field consistency beyond basic shape.
• Failure Handling: Choose fail-closed rejection, bounded repair-retry, or safe fallback when validation fails.
• Safe Handoffs: Route validated tool arguments to authorization controls and validated sink-bound content to output-safety review.
• Use Case: A product team uses this Skill to make a JSON response from an LLM safe enough for order updates, tool calls, and regulated workflows.

Quick Start

Ask for an enforceable structured output contract with validation rules, semantic checks, failure handling, and the correct safety handoffs for your LLM feature.