Spreadsheet Validation with Claude Code: Result JSON Schema

A production playbook for spreadsheet validation in cross-industry operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.

Audience: Operations teams that live in Excel

The problem

Operations teams that live in Excel need spreadsheet validation to run repeatedly against workbooks, CSVs, mappings, and validation rules. 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 spreadsheet validation 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 spreadsheet validation, 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": "spreadsheet validation completed",
  "body": { "type": "spreadsheet_validation", "data": {}, "exceptions": [] },
  "artifacts": []
}

Run this on Argo