Access Review Automation with Claude Code: Result JSON Schema
A production playbook for access review automation in cross-industry operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.
Audience: IT and security teams
The problem
IT and security teams need access review automation to run repeatedly against access exports, role definitions, and reviewer notes. 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 access review 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 access review 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": "access review automation completed",
"body": { "type": "access_review", "data": {}, "exceptions": [] },
"artifacts": []
}
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