Integration Test Authoring with Claude Code: Result JSON Schema

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

Audience: Engineering teams improving coverage

The problem

Engineering teams improving coverage need integration test authoring to run repeatedly against API routes, fixtures, logs, and failure modes. 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 integration test authoring 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 integration test authoring, 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": "integration test authoring completed",
  "body": { "type": "integration_test_authoring", "data": {}, "exceptions": [] },
  "artifacts": []
}

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