Regulatory Change Monitoring with Claude Code: Result JSON Schema
A production playbook for regulatory change monitoring in cross-industry operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.
Audience: Compliance and operations teams
The problem
Compliance and operations teams need regulatory change monitoring to run repeatedly against regulatory updates, internal policies, and impact notes. 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 regulatory change monitoring 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 regulatory change monitoring, 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": "regulatory change monitoring completed",
"body": { "type": "regulatory_change_monitoring", "data": {}, "exceptions": [] },
"artifacts": []
}
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