What problem does it solve? Code written or reviewed by a single AI model carries author bias, so bugs, security holes, and regressions slip through. This Skill gets a second opinion from a different model family by running the OpenAI Codex CLI in headless review mode against your changes, a branch, a commit, or the whole app. ## Core Features & Use Cases - Scoped reviews: Review uncommitted changes, a branch diff against a base, a specific commit, or the entire codebase at HEAD using the appropriate codex review flag. - Structured severity reports: Saves a timestamped Markdown report to .jez/reviews/ with findings prioritised as critical, high, medium, low, and nit, each with file:line references. - Advisory workflow: Surfaces top findings inline and offers to fix specific issues only with user approval, never auto-applying suggestions. - Use Case: Before opening a PR, ask for an independent review of your branch versus main; the Skill runs Codex, saves the report, and shows you the critical and high findings with exact file locations. ## Quick Start Ask the agent to run a codex review of my uncommitted changes and show me the critical findings.