Customer Data Redaction with Claude Code: Result JSON Schema
A production playbook for customer data redaction in cross-industry operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.
Audience: Privacy and support teams
The problem
Privacy and support teams need customer data redaction to run repeatedly against documents, logs, screenshots, and redaction 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 customer data redaction 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 customer data redaction, 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": "customer data redaction completed",
"body": { "type": "customer_data_redaction", "data": {}, "exceptions": [] },
"artifacts": []
}
Run this on Argo