Individual skill
second-opinion
Get a second opinion from OpenAI's Codex CLI running locally. Use this skill when in Plan Mode for large or critical tasks, when stuck on a debugging dead end, when facing architecture trade-offs, for subtle edge cases in code review, or any situation where an independent perspective would add value. Also use when the user explicitly asks for a "second opinion", "another perspective", "cross-check this", "ask Codex", or "ask GPT". This is the DEFAULT second-opinion engine — Codex runs a completely different model architecture from Claude, so it catches blind spots Claude shares with itself. For a Gemini second opinion specifically, the user says "ask Gemini" (separate second-opinion-gemini skill); "ask both" runs this skill and that one, then synthesizes.
skills/second-opinion/SKILL.md
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- Last checked
- Nov 3, 2026
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- Repository last updated
- Jul 22, 2026
- License
- MIT
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# Second Opinion — OpenAI Codex
Get an independent second opinion from OpenAI's Codex CLI. It uses Codex's default model — a completely different architecture and training run from Claude, which makes it genuinely useful for catching blind spots, validating reasoning on edge cases, or surfacing trade-offs Claude would miss (Claude's own errors tend to be invisible to Claude).
Codex has full read access to the project — it can read files, grep code, and explore the codebase. Its project instructions (`AGENTS.md` at the repository root) tell it to prime itself on the key docs before answering. You provide the specific question and any focused context; Codex handles the rest.
This is the **default** second-opinion engine. For a Gemini second opinion specifically, the user invokes the separate `second-opinion-gemini` skill ("ask Gemini"). When the user says "ask both", run this skill and that one, then synthesize all three views (yours + Codex + Gemini).
## When to Use
- Architecture decisions with real trade-offs
- Debugging where you've been going in circles
- Code review on tricky logic or subtle edge cases
- Validating your reasoning before the user acts on it