gsd-review

To get peer review feedback for a phase plan, you can generate cross-AI critiques by running the tool with a specific phase number. It consolidates feedback from multiple external models into a REVIEWS.md file for downstream planning updates.

Yes, you can validate acceptance criteria using multiple external CLIs like Gemini and Claude. The tool detects available CLI reviewers and uses flag-controlled selection to gather independent multi-model perspectives on your specified planning step.

Multi-model peer review for planning validation is the process of gathering independent feedback from various AI CLIs to refine risk checks and execution steps. It reduces blind spots by targeting a single phase plan with multiple model perspectives before execution.

You can consolidate feedback from multiple AI CLIs by running a cross-CLI review command for a target phase. It writes structured, per-reviewer feedback directly into a REVIEWS.md file, ensuring all critiques are organized for easy reference.

You need external CLI tools installed for cross-AI phase plan reviews to function. The tool automatically detects available CLIs, such as Codex, OpenCode, or Cursor, and runs the selected reviewers to critique your phase plan.

Using multiple AI models to review a project milestone plan catches missing dependencies, unclear acceptance criteria, and risky assumptions. Gathering independent cross-CLI feedback reduces blind spots and improves overall plan quality before you commit to execution.