heavy-review

Automating deployment plan review requires collecting and consolidating scattered evidence. This skill reads deployment-plan.md, identifies target goals and gaps, then routes parallel web and source checks via subagents to produce a structured auditable report with deterministic plan_sha256 tracking.

Multi-route evidence validation verifies deployment plans by spawning subagents to check web and source paths. It consolidates findings into a single auditable outcome with deterministic plan_sha256 tracking, returning a structured report suitable for R2 and R3 review stages.

Reviewing risks from deployment-plan.md involves structured extraction of target deployment goals, key gaps, and risk factors. The system then orchestrates parallel evidence validation and surfaces concrete inline remediation guidance directly editable within the plan document.

Yes, inline remediation guidance is generated after the deployment audit. The review process surfaces concrete changes that can be directly inline-edited into the same deployment-plan.md document, ensuring evidence validation and fixes remain consolidated.

Yes, automated deployment review works without external dependencies. The skill orchestrates multi-route evidence validation and parallel subagent checks internally, requiring only a deployment-plan.md file to produce a structured review report with deterministic plan_sha256 tracking.