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我用 AI 写代码,但终端管理反而成了累赘——于是我做了 codux [调研] 各位在公司都用什么 ide 和 agent 写代码? 老运维 share 一个运维平台 看到有公司考核 token 指标,很好奇大家上个月的 AI 账单是多少 GLM-Coding 调用持续报错: z.ai 的 Lite 套餐几乎无法使用,官方 Pro/Max 是否稳定? 现在还有什么渠道可以稳定安全地使用 Claude 吗? 上海漕河泾内推,本组有 2 个 hc,一个后端,一个前端,预算都是 20k 左右,不打卡,氛围好 如果 V2EX 上有一组不永久保存聊天记录(比如只保存 7 天或者 24 小时)的聊天室,那么会开启哪些有用或者有趣的可能? gemini cli 貌似挂了,一直返回 403 第一次在自媒体上赚到钱 收集了最近在使用的低价 GPT, Gemini,邮箱等 AI 会员的小店合集 讨论个大实话:现在企业还在说 AI 编程提效 20%, 30%的,真的太落后,没用懂 AI。因为包括很多前沿公司,已经狂奔到提效 200%-500%的情况 [招聘][远程][币安] 前端/后端/QA/iOS/Android 至少 3 年以上经验 目前有大量 HC 欢迎投递 Chatgpt Pro 用量用不完的可以开这些设置 面试的时候好像遇到钓鱼了,给各位避个坑 cursor 年续费 22 号到期, 自动续费是否还是老的计次套餐呢 被两件破事毁掉的一下午,琐碎的内耗消磨人的精力 使用 Planet 存储 Codex 的会话或者重要信息 如果业务部门领导不要你开发功能,而是要求你教会它用 claude code 开发功能,你会怎么做? 分享一个 MacOS 接绿联 CM818 USB 转 DP 转接器使用感受 我的 HR 朋友 10 年老 Java ,非全大专,大家帮忙看看简历 开源了一个 AI 口语练习工具,音素级发音评分,完全免费可自部署 V2EX 上有哪些你觉得很有趣、印象深刻的妹纸? 字节为啥不出个国内版 Vercel? 有在大马的朋友吗? 问个运营商问题 你们在有领导的公司大群发过的最大胆的消息是什么 公司裁员,目前没有工作。想试试摆摊,做一个移动鲜啤打酒车 我的硬盘 Memblaze Pblaze 5 Linux 下不识别,给 Linux 内核提交了补丁, AI 说有望被合并 只有我一个人觉得 codex 不好用?
分享一个 Codeg 多智能体协同下的 skill 案例,在一个会话里...
molicloud · 2026-05-27 · via V2EX

使用 Github:Codeg (开启多智能体协同的情况下)在 claude code 进行开发,在一个会话里使用 skill 和不使用 skill 的区别效果: claude code

使用 skill 后任务完成会由 codex 自动 review ,有问题直接修复,解决了我以前手动来回倒腾的问题。这是 skill 内容(如果使用其它子智能体 review 的话,可以把 skill 里面的 codex 替换一下),可以直接在 skills 管理里面添加,欢迎大佬们使用反馈,或者创作分享:


name: sub-agent-review-loop description: Use when any task could modify code, tests, config, schemas, migrations, deps, build/deploy scripts, artifacts, or behavior before completion

Sub-Agent Review Loop

Overview

Use Codex as an independent reviewer after work that can modify artifacts or behavior. Loop until the latest result is production-ready.

Core principle: Work is not complete until Codex approves the latest fixed version as production-ready.

Required Loop

  1. Finish the implementation and run the relevant local checks.
  2. Call Codeg MCP delegate_to_agent with agent_type: "codex", absolute working_dir, and a self-contained task containing the request, changed files or diff/SHAs, checks run, and constraints.
  3. Require this quality bar: production-ready; do not approve while in-scope correctness, security, reliability, data, API, UX, performance, test, or maintainability issues remain.
  4. Use receiving-code-review: verify claims, fix valid feedback, and push back with evidence on invalid or out-of-scope feedback.
  5. Run the relevant checks again after fixes.
  6. Send the updated result back to Codex for re-review.
  7. Repeat until Codex approves the latest version with no unresolved valid in-scope issues.

Do not use an ordinary in-session Task/general-purpose reviewer as a substitute.

If delegate_to_agent is missing, Codeg MCP is not injected/enabled, the call fails, or the Codex child session fails, tell the human and leave the task incomplete or blocked. Do not self-review instead.

Codeg MCP Call

{
  "agent_type": "codex",
  "working_dir": "<absolute current working directory>",
  "task": "<complete review prompt; child cannot see this conversation>"
}

Codex Review Prompt

Review these completed changes as Codex.

Quality bar: production-ready. Do not approve while in-scope correctness,
security, reliability, data, API, UX, performance, test, or maintainability
issues remain.

User request:
<request>

Changes to review:
<diff, changed files, or BASE_SHA..HEAD_SHA>

Verification already run:
<commands and results>

Return:
- Verdict: APPROVED or CHANGES_REQUESTED
- Critical / Important / Minor issues
- Required verification

For re-review, add:

Re-review the latest state after fixes against the same production-ready quality
bar. Do not approve unless the current version is ready to ship.

Quick Reference

Situation Required action
Artifact/behavior-changing task is done Call delegate_to_agent before final response
Codex finds valid issues Fix, verify, send back to Codex
Feedback seems wrong Verify, push back with evidence
Minor issues remain Fix valid ones unless they expand scope or risk
Codex approves latest version Final response may be sent after checks pass

Red Flags

Rationalizations:

  • "The change is tiny."
  • "The user is waiting."
  • "Tests already passed."
  • "I reviewed my own diff."
  • "Codex only found nits."
  • "I fixed the issue, so another review is unnecessary."
  • "I used a generic reviewer subagent instead of Codeg MCP."

Common Mistakes

Mistake Fix
Reviewing the original diff after fixes Ask Codex to review the latest state
Blindly applying feedback Verify with codebase evidence first
Stopping after fixes Re-dispatch Codex after changes
Treating tests as a replacement for review Run tests and Codex review
Using an in-session reviewer Use Codeg MCP delegate_to_agent

Completion Gate

Final response is allowed only after implementation and accepted fixes are done, relevant checks pass or limitations are stated, Codex approves the latest version, and no known valid production-readiness issue remains in scope.