Individual skill
peer-review
Patterns for using a second AI agent or model to challenge the primary builder agent's work. Covers six review modes (Diff Critique, Design Challenge, Threaded Debate, Delegated Scrutiny, Deciding Vote, Coverage Audit), how to set up peer review with any model via MCP server, peer review iteration loops that alternate builder and reviewer prompts, the Codex Loop Mode (Cavekit + Ralph Loop + Codex as reviewer via CLI or MCP fallback), and prompt templates for each strategy. The peer reviewer's job is to find what the builder missed, not to agree. Triggers: "peer review", "peer review agent", "use another model to review", "second opinion on code", "cross-model review", "peer review loop", "ralph loop with codex", "cavekit ralph", "cross-model loop", "codex peer reviewer".
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# Peer Review
Use a second AI agent to review and challenge the first agent's work. The peer reviewer exists to find
what the builder missed -- not to agree, not to be polite, and not to rubber-stamp. This is the
single most effective quality gate you can add beyond automated tests.
## Core Principle
> **The peer reviewer's job is to find what the builder missed, not to agree.**
A review that says "looks good" is a wasted review. The peer review model should be given explicit
instructions to be critical, to challenge assumptions, and to look for what is *not* there rather
than what is.
