What problem does it solve? When the same model family writes the code and runs every review gate, both sides share the same blind spots. This Skill gets a genuinely independent code review from a non-Anthropic model (OpenAI API) after all internal gates pass, catching issues a same-family evaluator structurally cannot see. ## Core Features & Use Cases - Cross-model code review: Sends only the files you name on the command line to the OpenAI chat completions API with an adversarial review prompt demanding file, line, breakage, and failing input per finding. - Targeted questions: The --ask flag lets you pose a specific concern (e.g., a suspected edge case in call-site resolution) alongside the general review. - Explicit failure diagnosis: Detects quota and billing errors and states plainly that a ChatGPT/Codex subscription does not include API credit, so the failure is not mistaken for a bug. - Use Case: After a build passes every internal quality gate, run the script on the core module with a pointed question to get a dissenting review before shipping, then verify each finding against the code before acting on it. ## Quick Start Set OPENAI_API_KEY in the environment and run node review.mjs with the files to review, optionally adding --ask with a specific question.