Human Review Queue Preparation with Claude Code: Artifact Delivery
A production playbook for human review queue preparation in cross-industry operations using Claude Code: artifact delivery, run-scoped inputs, logs, typed results, and artifacts.
Audience: Operations teams combining automation with review
The problem
Operations teams combining automation with review need human review queue preparation to run repeatedly against agent output, confidence notes, artifacts, and escalation 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
Require Claude Code to write customer-visible files under /skill/output/artifacts, validate filenames and sizes, then return signed artifact metadata in argo.result.v1.
Tradeoffs and failure modes
Artifact policy constrains file output, but customers receive files that are durable, typed, and safe to download. For human review queue preparation, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
Artifact manifest
artifacts:
- human-review-queue-summary.md
- human-review-queue-evidence.csv
- human-review-queue-review.json
signed_urls: true
retention: org_policy
Run this on Argo