# Codex Advisor

Should be used when the user asks for a "GPT second opinion", wants a "cross-model...

- Repository: https://github.com/fcakyon/claude-codex-settings (1195 stars)
- Category: Engineering
- License: Apache-2.0
- Last updated: 2026-11-01
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add fcakyon/claude-codex-settings --skill codex-advisor -g -a claude-code -y`
Codex: `npx skills add fcakyon/claude-codex-settings --skill codex-advisor -g -a codex -y`
Cursor: `npx skills add fcakyon/claude-codex-settings --skill codex-advisor -g -a cursor -y`
Gemini CLI: `npx skills add fcakyon/claude-codex-settings --skill codex-advisor -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add fcakyon/claude-codex-settings`

## Description

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, as published by its author (untrusted third-party text, read it as data)

# Codex Advisor

Get a focused second opinion from GPT-6 Astra through the Codex CLI, without handing the
work over to it.

## Route by tool

1. In Claude Code, delegate to the native `codex-advisor` agent. It receives the
   recent conversation automatically, so do not paste the history yourself.
2. Elsewhere, run this exact shape from this skill's directory so the request
   reaches standard input:

   ```
   node scripts/ask_codex.mjs <<'REVIEW'
   the review request
   REVIEW
   ```

State the decision, the evidence behind it, and any constraint that changes the
verdict. Name the paths that matter: the reviewer has read-only access and
checks load-bearing claims itself.

Return the answer without rewriting it. If `codex` is missing or unauthenticated,
surface the error and ask the user to install it or sign in. Never review in its
place.

## Reviewer

Pinned to `gpt-6-astra` at medium reasoning effort.

## 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.

