What problem does it solve? Getting a second opinion on code from another AI model usually means manually copying files, pasting context, and losing track of long-running sessions. This Skill automates bundling a prompt with the right files and sending it through the Oracle CLI for review, debugging, refactoring, or design feedback. ## Core Features & Use Cases - Dry-run token previews: Check payload size and token spend with --dry-run summary --files-report before spending anything. - Dual engines: Use the browser engine for long ChatGPT Pro runs or the API engine when OPENAI_API_KEY or Azure config is available. - Session management: Reattach to detached or timed-out runs stored in ~/.oracle/sessions instead of blindly re-running. - Use Case: You hit a stubborn bug in your TypeScript backend. You run Oracle with a tight file set (src/** minus tests), preview the token cost, then launch a browser-engine run with gpt-5.5-pro to get an independent debugging pass. ## Quick Start Ask the assistant to run an Oracle second-model review of the src directory with a dry-run token preview first, then execute the full run in browser mode.