SaaS Security Questionnaire Response with Claude Code: Result JSON Schema
A production playbook for SaaS security questionnaire response in saas operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.
Audience: B2B SaaS security and sales engineering teams
The problem
B2B SaaS security and sales engineering teams need SaaS security questionnaire response to run repeatedly against questionnaires, SOC reports, policies, architecture docs, and prior answers. In saas 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 SaaS security questionnaire response 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 SaaS security questionnaire response, 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": "SaaS security questionnaire response completed",
"body": { "type": "saas_security_questionnaire", "data": {}, "exceptions": [] },
"artifacts": []
}
Run this on Argo