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codex-ctoCodex CTO 命令行

Agent Skill

codex-cto 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

612

周安装

25

GitHub Stars

22

下载量

196
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:codex-cto(Codex CTO 命令行)
来源仓库:https://github.com/tdimino/claude-code-minoan
仓库路径:skills/codex-cto
安装命令:
npx skills add https://github.com/tdimino/claude-code-minoan --skill codex-cto
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/tdimino/claude-code-minoan --skill codex-cto

简介

codex-cto 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。

  • 它反转传统编排模式:由 Codex 担任 CTO 角色制定计划与审查,用户通过原生工具执行。
  • 最多支持五轮修订循环,确保最终交付符合质量要求后再提交。
  • 安装命令为 npx skills add https://github.com/tdimino/claude-code-minoan --skill codex-cto,需运行 cto-invoke.sh plan 获取方案。
  • 使用前建议核实脚本路径 ~/.claude/skills/codex-cto/scripts/ 存在且可执行。

SKILL.md

Codex CTO — Inverted Orchestration

Codex plans and reviews. Claude Code executes. This inverts the codex-orchestrator pattern: instead of Claude Code delegating to Codex subagents, Codex directs Claude Code as the engineering team.

Protocol

1. CTO plans   →  cto-invoke.sh plan "<objective>"
2. You execute  →  native tools (Read, Edit, Write, Bash, Glob, Grep)
3. CTO reviews  →  cto-invoke.sh review "<objective + results>"
4. Loop         →  if "revise", fix and re-submit for review (max 5 iterations)

Step 1: Get the Plan

Run the plan phase with the user's objective:

~/.claude/skills/codex-cto/scripts/cto-invoke.sh plan "<OBJECTIVE>" [--model MODEL]

Parse the returned JSON. It contains:

  • objective — what to accomplish
  • analysis — CTO's assessment of the codebase
  • strategy — high-level approach
  • tasks[] — ordered task list with IDs, actions, targets, descriptions, acceptance criteria, and dependencies
  • verification — commands to run after all tasks complete

Step 2: Execute Tasks

Work through each task in dependency order using native tools. For each task:

  1. Read the description and acceptance_criteria
  2. Execute the action (create_file, modify_file, delete_file, run_command, verify)
  3. Verify each acceptance criterion before moving to the next task
  4. Track what was done and what the outcome was

Do not deviate from the plan without reason. If a task is blocked or the plan has an error, note it and continue with unblocked tasks. Report blockers in the review submission.

Step 3: Submit for Review

After executing all tasks, run the review phase. Include the original objective and a summary of what was done:

~/.claude/skills/codex-cto/scripts/cto-invoke.sh review "<OBJECTIVE>. Results: <summary of what was done, any issues encountered>"

Parse the returned JSON:

  • verdict: "approve" — done. Report success to the user.
  • verdict: "revise" — check task_reviews for feedback and revised_tasks for new/updated tasks. Fix issues and re-submit.
  • verdict: "abort" — fundamental problem. Report the CTO's reason to the user and stop.

Step 4: Iterate (if revise)

On a "revise" verdict:

  1. Read each task_reviews entry with status fail or partial
  2. Execute the fixes described in feedback and any revised_tasks
  3. Re-submit for review (step 3)
  4. Maximum 5 review iterations. If the CTO issues 3 consecutive "revise" verdicts, escalate to the user.

Model Selection

The --model flag passes through to codex exec. Available models:

ModelIDNotes
GPT-5.4 Progpt-5.4-proDefault for plan phase. Deepest reasoning for architectural decomposition.
GPT-5.4gpt-5.4Default for review phase. Unified coding + reasoning flagship.
GPT-5 Minigpt-5-miniCost-optimized, fast iteration.
GPT-5.3-Codexgpt-5.3-codexPrevious generation. Still functional.

Omit --model to use the default from ~/.codex/config.toml.

Options

OptionDescription
--model <id>Override model (default: config default)
--dry-runPrint command without executing

Artifacts

Plan and review JSON files are saved to .codex-cto/<PID>/ in the working directory. Each invocation creates sequentially numbered files (plan-001.json, review-001.json, etc.). PID namespacing prevents conflicts between concurrent sessions.

Diagnostics

Reuse codex-orchestrator's status script for CLI diagnostics:

~/.claude/skills/codex-orchestrator/scripts/codex-status.sh

Examples

# Simple feature
/codex-cto Add a health check endpoint at /health returning {status: "ok"}

# With model override
/codex-cto Refactor the auth module to use JWT --model gpt-5-mini

# Dry run to inspect the command
~/.claude/skills/codex-cto/scripts/cto-invoke.sh plan "Add rate limiting" --dry-run

Sister Skill

This skill is the inverse of codex-orchestrator. Use codex-orchestrator when Claude Code should delegate one-shot specialist tasks to Codex. Use codex-cto when Codex should direct Claude Code through a plan-execute-review loop.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.76%
按下载量换算72

Claude

27.78%
按下载量换算54

Cursor

19.51%
按下载量换算38

Gemini CLI

9.87%
按下载量换算19

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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