Workspace Cleanup Policy with Claude Code: Result JSON Schema
A production playbook for workspace cleanup policy in cross-industry operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.
Audience: Platform teams managing ephemeral execution
The problem
Platform teams managing ephemeral execution need workspace cleanup policy to run repeatedly against temporary files, terminal states, storage rules, and retention policy. 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 workspace cleanup policy 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 workspace cleanup policy, 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": "workspace cleanup policy completed",
"body": { "type": "workspace_cleanup_policy", "data": {}, "exceptions": [] },
"artifacts": []
}
Run this on Argo