hyper-san-output

Standardizing agent output for sanity checks involves applying a schema that enforces consistent JSON or conversational formats with required issue fields, severity matrices, and pass criteria for reliable machine parsing.

The HyperSan output contract is used to provide a standardized, machine-parseable schema for sanity-check results, enabling reliable inter-agent communication and auditability across direct-user and subagent workflows.

Structure validation results for multi-agent systems by generating standardized HyperSan output that defines severity and difficulty matrices, required issue fields, and structured conversational formats for both direct and subagent contexts.

Yes, the HyperSan schema supports severity levels and fix recommendations by explicitly handling BLOCKER, WARNING, and SUGGESTION levels, and providing evaluation pass criteria to guide remediation workflows across verification tasks.

Yes, you can use JSON Schema for subagent sanity check workflows to define required issue fields and severity matrices, producing a machine-parseable structured output document that satisfies subagent verification requirements.