cursor-interrogate

Installation
SKILL.md

Codex runtime mapping

This published workflow is explicit-only through agents/openai.yaml. Use the native Codex subagent capability for independent read-only reviewers only when delegation is authorized. Require one immutable scope and rubric, at least two distinct model requests accepted by native spawn, separate read-only outputs, and a coordinator lead judgment before claiming a bounded review. If a configured reviewer is missing or fails, mark the aggregate PARTIAL and name the slot; never fabricate multi-model consensus or a complete configured run. Follow the standing model-capability-router and the operator-selected model/effort; do not force the Cursor default model table. Record requested reviewer profiles and unavailable slots, and mark effective model/effort readback unavailable unless the native surface supplies it. Keep the source rubric, lead judgment, and no-auto-apply contract.

Interrogate

Spawn one reviewer per configured model to adversarially review code changes. The adversarial signal comes from model diversity, not assigned personas. The deliverable is a synthesized verdict. Do NOT auto-apply changes.

Step 1, Scope

Identify what to review from context:

  • If the user points at specific files or a diff, use that.
  • If on a feature branch, run git diff main...HEAD (or the appropriate base branch) for the full changeset.
  • If the user's message references recent work, gather the relevant files.

Package the diff or file contents with any surrounding context files the reviewers need to understand the code.

Step 2, Intent

Installs
8
First Seen
Sep 19, 2026