Evidence Citation Review with Claude Code: Result JSON Schema
A production playbook for evidence citation review in cross-industry operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.
Audience: Research and legal teams
The problem
Research and legal teams need evidence citation review to run repeatedly against source docs, claims, citations, and review 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 evidence citation 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 evidence citation 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": "evidence citation review completed",
"body": { "type": "evidence_citation_review", "data": {}, "exceptions": [] },
"artifacts": []
}
Run this on Argo