Human Resources: Employee File Audit with Claude Code: Result JSON Schema

A production playbook for employee file audit in human resources operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.

Audience: HR operations and compliance teams

The problem

HR operations and compliance teams need employee file audit to run repeatedly against employee files, policy acknowledgements, IDs, contracts, and missing-doc rules. In human resources 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 employee file audit 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 employee file audit, 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": "employee file audit completed",
  "body": { "type": "hr_employee_file_audit", "data": {}, "exceptions": [] },
  "artifacts": []
}

Run this on Argo