codex-advisor

Solid

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".

AI & Automation 822 stars 70 forks Updated 2 days ago Apache-2.0

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Quality Score: 90/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
65
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Codex Advisor Get a focused second opinion from GPT 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. 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.

Details

Author
fcakyon
Repository
fcakyon/claude-codex-settings
Created
1 years ago
Last Updated
2 days ago
Language
Python
License
Apache-2.0

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