Codex advisor
Skill fcakyon/claude-codex-settings/plugins/codex-advisor/skills/codex-advisor
Battle-tested Claude Code, OpenAI Codex, Cursor configs, plugins, hooks and agents with Kimi MiniMax and GLM API support.
npx -y skills add fcakyon/claude-codex-settings --skill codex-advisorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
This skill should be used when the user asks for a "GPT second opinion", wants a "cross-model review", needs to "check a plan before committing", wants another view after repeated failures, or explicitly invokes "codex-advisor".
SKILL.md
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Codex Advisor
Get a focused second opinion from GPT through the Codex CLI, without handing the work over to it.
Route by tool
- In Claude Code, delegate to the native
codex-advisoragent. It receives the recent conversation automatically, so do not paste the history yourself. - In Codex, Cursor, or Gemini CLI, locate this skill's directory and run
node scripts/ask_codex.mjs. Pass the review request on standard input.
The request must include the decision or conclusion, the relevant recent context and evidence, and any constraints or alternatives that affect the verdict. Include only facts that matter to the decision.
Return the reviewer's answer without rewriting it. If codex is missing or not
authenticated, surface the command error and ask the user to install the Codex
CLI or sign in. Do not fall back to the host model.
Picking the reviewer
The review runs on whatever model ~/.codex/config.toml sets. In Codex itself
that is the same model already doing the work, which is a weak second opinion,
so set CODEX_ADVISOR_MODEL to a different one before calling.
Weighing the answer
Give the verdict serious weight. If a step it recommends fails when tried, or a file contradicts a specific claim, surface the conflict instead of following the review blindly.