Browser Automation Task Review with Claude Code: Result JSON Schema
A production playbook for browser automation task review in cross-industry operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.
Audience: Automation platform teams
The problem
Automation platform teams need browser automation task review to run repeatedly against recorded browser steps, DOM snapshots, and output requirements. 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 browser automation task review 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 browser automation task review, 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": "browser automation task review completed",
"body": { "type": "browser_automation_task", "data": {}, "exceptions": [] },
"artifacts": []
}
Run this on Argo