codex-review

Automate code review using an external LLM by submitting project artifacts via the Codex CLI, which sends files to models like GPT for analysis against predefined skill criteria. The AI returns structured, actionable feedback on quality and adherence to best practices.

Review architecture specifications with GPT by invoking external LLM services through the CLI tool. The AI agent applies predefined skill-based criteria to submitted specification documents, providing an independent expert opinion on potential design issues.

Codex CLI is required to perform AI-powered artifact review. The Skill executes independent reviews of code, specifications, and architecture by invoking external LLM services through this specific command-line interface tool.

An AI agent applies coding standards during code review by using specific skill files as review guidelines. When analyzing submitted documents via the LLM, it evaluates the artifacts against these predefined project standards to ensure quality assurance.

Get a second opinion on code quality before merging by using commands like `/review-gpt` to have an external AI model check your code. The model evaluates your work against specific skills like `coding-standards` and `error-handling`.

Review specification files located in specific directories by asking the agent to target a file path like `docs/specs/new-feature.md` using the review command. The CLI tool submits that specific document to the external LLM for analysis.