Security Questionnaire Automation with Claude Code: Result JSON Schema
A production playbook for security questionnaire automation in cross-industry operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.
Audience: Security and sales engineering teams
The problem
Security and sales engineering teams need security questionnaire automation to run repeatedly against questionnaires, evidence folders, and policy docs. In cross-industry operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.
Implementation path
Define the outer result contract once, let the security questionnaire automation skill own body.data, and reject terminal output that does not match the expected schema.
Tradeoffs and failure modes
Schema enforcement adds upfront design work, but removes prompt parsing from the product surface. For security questionnaire automation, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
Result shape
{
"schema_version": "argo.result.v1",
"summary": "security questionnaire automation completed",
"body": { "type": "security_questionnaire", "data": {}, "exceptions": [] },
"artifacts": []
}
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