cross-review — bstack P20 Cross-Model Adversarial Review Gate

The writer cannot be the final judge of the work.

When the same AI model plans, implements, and reviews, it will not challenge its own assumptions. It has systematic blind spots baked into its training. A different model — trained differently, with different biases and pattern preferences — catches what the first one misses.

cross-review is the bstack gate that enforces this discipline. Substantive PRs cannot merge until a different evaluator than the writer scores the work ≥ 7/10 against an anti-slop rubric.

Origin

Inspired by Dallionking/cross-model-agents (May 2026) — 31-agent bidirectional Claude↔Codex review system. That project ships specific agents and hooks. broomva/cross-review absorbs the discipline while composing with the existing bstack adversarial-review skill toolkit.

The 3 strata

Different mechanisms for different environments. The substance is the gate — what mechanism implements it is secondary.