sol-advisor

Sol-advisor packages an opinion about how AI coding work should be split: a read-only advisor model that reviews, an implementation lane that writes code, and an optional third lane for task-based work. It's a plugin for OpenAI's Codex ecosystem, installs with one command, and it's MIT licensed and free.

There's more engineering here than the prompt pack it might sound like: a dependency-free MCP server with real test coverage, fail-closed defaults (no fallback models, no arbitrary write paths), and a consent flow that previews every file before it writes anything. Adapters exist for Cursor, VS Code, and Copilot, but this is Codex-first, and every other client is a second-class path.

Use it if you're on Codex and want a mandatory fresh-context review before code gets accepted, without designing that workflow yourself. Skip it if you're not: the honest alternative is configuring Codex's own custom agents by hand, and Claude Code users already have subagents and skills natively.

The catch: the review lane means paying a large reasoning model to examine work you already paid another model to do, and the whole thing is a young solo project welded to specific model IDs and a plugin spec OpenAI could change any week.