QA Regression Triage with Claude Code: Result JSON Schema

A production playbook for QA regression triage in cross-industry operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.

Audience: QA automation teams

The problem

QA automation teams need QA regression triage to run repeatedly against test failures, screenshots, logs, and recent changes. 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 QA regression triage 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 QA regression triage, 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": "QA regression triage completed",
  "body": { "type": "qa_regression_triage", "data": {}, "exceptions": [] },
  "artifacts": []
}

Run this on Argo