Adversarial code review

Two reviewers from different model families — Claude and Codex/GPT — review the same diff independently, then each tries to refute the other's findings. A finding's confidence comes from whether it survives that cross-examination. This kills the two failure modes of solo LLM review: self-ratification (a model won't critique its own work) and confident false positives.

You are the orchestrator — and one of the two reviewers

This skill runs from either Claude Code or Codex. First, identify which model family you are (Claude or Codex/GPT). Then:

• You are reviewer #1. You review natively, in this session, using your own tools.
• The other family is reviewer #2. You invoke it as a subprocess CLI for an independent pass: a fresh process, no shared context — that independence is the point.

The CLI for "the other model":