cross-modal-review

An independent AI code review routes your work products to a different model for evaluation against your originating requirements, identifying missed risks and quality gaps before final decisions. It applies contract-based evaluation to separate agreement from disagreement.

Adversarial review applies structured challenge modes to security-sensitive changes and architecture decisions, detecting blind spots by evaluating work products through an independent AI perspective to find disagreements and quality issues.

Yes, you can obtain a second opinion AI to review skill modifications by sending modified work products to a different model for assessment against the originating skill's contract, ensuring transparent reporting of reviewer findings and refusal handling.

Cross-modal review operates without external dependencies, routing work products to different models for contract-based evaluation and refusing or transparently reporting findings when the independent reviewer cannot fulfill the evaluation requirements.

The best way to identify quality gaps in a major code refactor is routing the changes through independent model evaluation, applying structured adversarial checks to separate agreement from disagreement and highlight security risks before finalizing.

You need an independent AI review for architecture decisions when evaluating complex problem-solving requires an adversarial perspective to catch blind spots, assess quality issues, and validate contract compliance before finalizing significant changes.