Agriculture Certification Review with Claude Code: Result JSON Schema

A production playbook for agriculture certification review in agriculture operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.

Audience: Agriculture compliance teams

The problem

Agriculture compliance teams need agriculture certification review to run repeatedly against certificates, inspection reports, supplier docs, shipment records, and audit rules. In agriculture 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 agriculture certification review 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 agriculture certification review, 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": "agriculture certification review completed",
  "body": { "type": "agriculture_certification_review", "data": {}, "exceptions": [] },
  "artifacts": []
}

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