Autoteam Chatgpt Rotation logo

Autoteam Chatgpt Rotation

Organization
reason-machines
autoteam-chatgpt-rotation

AutoTeam ChatGPT Team账号自动轮转管理工具,支持Codex额度监控、自动换号、CPA认证同步

Overview

Publisherreason-machines
Repositorytrending-skills
Skill nameautoteam-chatgpt-rotation
Stars
80
Forks
15
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by reason-machines on GitHub. Read the source before you install it.

Installation

Install the Autoteam Chatgpt Rotation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/reason-machines/trending-skills.git /tmp/trending-skills
mkdir -p .claude/skills
cp -r /tmp/trending-skills/skills/autoteam-chatgpt-rotation .claude/skills/autoteam-chatgpt-rotation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Autoteam Chatgpt Rotation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Autoteam Chatgpt Rotation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Autoteam Chatgpt Rotation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AutoTeam — ChatGPT Team账号自动轮转管理

Skill by ara.so — Daily 2026 Skills collection.

AutoTeam 是一个自动化工具,用于管理 ChatGPT Team 账号的轮转:自动注册账号、获取 Codex OAuth 认证、监控额度余量、在额度低时智能切换账号,并将认证文件同步到 CLIProxyAPI

安装

前置条件

  • Python 3.10+
  • uv 包管理器
  • Chromium(由 Playwright 管理)

一键安装

bash
git clone https://github.com/cnitlrt/AutoTeam.git
cd AutoTeam
bash setup.sh
# 等价于: uv sync && uv run playwright install chromium

手动安装

bash
uv sync
uv run playwright install chromium
cp .env.example data/.env
# 编辑 data/.env 填入必要配置

配置

环境变量(data/.env

env
# 临时邮箱服务(CloudMail)
CLOUDMAIL_API_KEY=$CLOUDMAIL_API_KEY
CLOUDMAIL_DOMAIN=example.com

# CPA(CLIProxyAPI)连接
CPA_BASE_URL=http://your-cpa-host:port
CPA_API_KEY=$CPA_API_KEY

# AutoTeam API 鉴权
AUTOTEAM_API_KEY=$AUTOTEAM_API_KEY

# ChatGPT Team 管理员账号
TEAM_ADMIN_EMAIL=admin@example.com
TEAM_ADMIN_PASSWORD=$TEAM_ADMIN_PASSWORD

# 额度阈值(低于此值触发轮转)
QUOTA_THRESHOLD=100

# Team 目标成员数
TEAM_SIZE=5

# Web 面板端口
PORT=8787

首次启动配置向导

bash
uv run autoteam api
# 首次启动自动引导配置 CloudMail、CPA、API Key 并验证连通性

CLI 命令

bash
# 启动 Web 面板 + HTTP API(推荐,默认端口 8787)
uv run autoteam api

# 智能轮转,补满到 N 个账号(默认 5)
uv run autoteam rotate
uv run autoteam rotate 8

# 查看所有账号状态和额度
uv run autoteam status

# 检查所有账号额度
uv run autoteam check

# 手动添加一个新账号
uv run autoteam add

# 补满成员到目标数量
uv run autoteam fill
uv run autoteam fill 10

# 清理多余成员
uv run autoteam cleanup
uv run autoteam cleanup 5

# 同步认证文件到 CPA
uv run autoteam sync

# 管理员登录(刷新 admin session)
uv run autoteam admin-login

Docker 部署

快速启动

bash
git clone https://github.com/cnitlrt/AutoTeam.git && cd AutoTeam
mkdir -p data && cp .env.example data/.env
# 编辑 data/.env
docker compose up -d

docker-compose.yml 结构

yaml
services:
  autoteam:
    build: .
    ports:
      - "8787:8787"
    volumes:
      - ./data:/app/data   # 持久化配置、数据库、认证文件
    environment:
      - TZ=Asia/Shanghai
    restart: unless-stopped

Docker 常用操作

bash
# 查看实时日志
docker compose logs -f autoteam

# 重启服务
docker compose restart autoteam

# 进入容器执行 CLI
docker compose exec autoteam uv run autoteam status

# 停止服务
docker compose down

HTTP API

所有 API 请求需携带鉴权头:

Authorization: Bearer $AUTOTEAM_API_KEY

核心端点

bash
# 获取账号状态列表
GET /api/accounts

# 触发轮转任务
POST /api/rotate
Content-Type: application/json
{"target": 5}

# 检查额度
POST /api/check

# 补满成员
POST /api/fill
{"target": 5}

# 清理多余成员
POST /api/cleanup
{"keep": 5}

# 同步认证到 CPA
POST /api/sync

# 获取任务历史
GET /api/tasks

# 获取实时日志
GET /api/logs

# 获取/更新巡检配置
GET /api/patrol/config
PUT /api/patrol/config
Content-Type: application/json
{"enabled": true, "interval_minutes": 30, "threshold": 100}

Python 调用示例

python
import httpx
import os

BASE_URL = "http://localhost:8787"
HEADERS = {"Authorization": f"Bearer {os.environ['AUTOTEAM_API_KEY']}"}

# 获取账号状态
with httpx.Client() as client:
    resp = client.get(f"{BASE_URL}/api/accounts", headers=HEADERS)
    accounts = resp.json()
    for acc in accounts:
        print(f"{acc['email']}: quota={acc['quota']}, status={acc['status']}")

# 触发轮转
with httpx.Client(timeout=300) as client:
    resp = client.post(
        f"{BASE_URL}/api/rotate",
        headers=HEADERS,
        json={"target": 5}
    )
    task = resp.json()
    print(f"Task ID: {task['task_id']}, Status: {task['status']}")

Web 管理面板

访问 http://localhost:8787 后查看以下页面:

页面功能
📊 仪表盘账号统计、状态表格、登录/移出/删除/同步操作
👥 Team 成员全部 Team 成员(含外部成员)列表
⚡ 操作 & 任务一键轮转/检查/补满/清理/同步 + 任务历史
📋 日志实时日志查看器
⚙️ 设置管理员登录 + 主号 Codex 同步 + 巡检配置

工作原理

轮转流程

检查额度
  └─ 低于阈值?
       ├─ 否 → 退出
       └─ 是 → 移出当前账号
                └─ 有备用账号?
                     ├─ 是 → 验证额度 → 加入 Team → 同步 CPA
                     └─ 否 → 注册新账号
                              └─ 临时邮箱 → ChatGPT 注册
                                   └─ 验证码 → Codex OAuth
                                        └─ 加入 Team → 同步 CPA

账号状态机

new → registering → registered → codex_auth → active → low_quota → removed
                        ↓                                              ↑
                      failed                                      (可复用)

常见模式

自动化巡检脚本

python
import httpx
import os
import time

BASE_URL = os.environ.get("AUTOTEAM_BASE_URL", "http://localhost:8787")
HEADERS = {"Authorization": f"Bearer {os.environ['AUTOTEAM_API_KEY']}"}

def check_and_rotate():
    """检查额度,必要时触发轮转"""
    with httpx.Client(timeout=60) as client:
        # 先检查额度
        check_resp = client.post(f"{BASE_URL}/api/check", headers=HEADERS)
        check_resp.raise_for_status()
        
        # 获取账号状态
        accounts_resp = client.get(f"{BASE_URL}/api/accounts", headers=HEADERS)
        accounts = accounts_resp.json()
        
        low_quota = [a for a in accounts if a.get("quota", 999) < 100 and a["status"] == "active"]
        
        if low_quota:
            print(f"检测到 {len(low_quota)} 个低额度账号,触发轮转...")
            rotate_resp = client.post(
                f"{BASE_URL}/api/rotate",
                headers=HEADERS,
                json={"target": 5},
                timeout=300
            )
            print(f"轮转结果: {rotate_resp.json()}")
        else:
            print("所有账号额度正常")

if __name__ == "__main__":
    check_and_rotate()

配置巡检(通过 API)

python
import httpx
import os

BASE_URL = "http://localhost:8787"
HEADERS = {"Authorization": f"Bearer {os.environ['AUTOTEAM_API_KEY']}"}

# 开启自动巡检,每 30 分钟检查一次,额度低于 100 触发轮转
with httpx.Client() as client:
    resp = client.put(
        f"{BASE_URL}/api/patrol/config",
        headers=HEADERS,
        json={
            "enabled": True,
            "interval_minutes": 30,
            "threshold": 100,
            "target_size": 5
        }
    )
    print(resp.json())

批量同步认证文件

python
import httpx
import os

BASE_URL = "http://localhost:8787"
HEADERS = {"Authorization": f"Bearer {os.environ['AUTOTEAM_API_KEY']}"}

def sync_active_accounts():
    """只同步 active 账号的认证文件到 CPA"""
    with httpx.Client(timeout=120) as client:
        resp = client.post(f"{BASE_URL}/api/sync", headers=HEADERS)
        result = resp.json()
        print(f"同步结果: 成功={result.get('synced', 0)}, 失败={result.get('failed', 0)}")
        return result

sync_active_accounts()

故障排查

注册失败 / 验证码超时

bash
# 问题:验证码有效期短,网络延迟导致失败
# 解决:使用延迟低的代理,或住宅代理
# 配置代理(在 .env 中)
HTTP_PROXY=http://user:pass@proxy-host:port
HTTPS_PROXY=http://user:pass@proxy-host:port

Playwright 浏览器问题

bash
# 重新安装 Chromium
uv run playwright install chromium

# Docker 中确认浏览器依赖
docker compose exec autoteam uv run playwright install-deps chromium

CPA 同步失败

bash
# 验证 CPA 连接
curl -H "Authorization: Bearer $CPA_API_KEY" $CPA_BASE_URL/health

# 检查 AutoTeam 日志
uv run autoteam api  # 查看 Web 面板日志页
# 或
docker compose logs -f autoteam | grep "sync"

账号被封 / IP 被标记

bash
# 症状:注册成功率低,频繁出现 Cloudflare 挑战
# 解决方案:
# 1. 使用住宅代理(非 VPS IP)
# 2. 降低注册频率,在 .env 中增加延迟
REGISTER_DELAY_SECONDS=30

# 3. 减少并发(AutoTeam 同时只允许一个 Playwright 操作)

查看详细日志

bash
# CLI 模式下增加详细输出
uv run autoteam rotate --verbose

# Docker 中查看完整日志
docker compose logs --tail=200 autoteam

# Web 面板实时日志
# 访问 http://localhost:8787 → 日志页面

数据库重置

bash
# 清除本地数据(保留配置)
rm data/autoteam.db

# 重新启动后会自动初始化
uv run autoteam api

项目结构

AutoTeam/
├── data/               # 持久化数据(.env、数据库、认证文件)
│   ├── .env
│   └── autoteam.db
├── docs/               # 详细文档
│   ├── getting-started.md
│   ├── configuration.md
│   ├── docker.md
│   ├── api.md
│   ├── architecture.md
│   └── troubleshooting.md
├── src/autoteam/       # 源码
│   ├── cli.py          # CLI 入口
│   ├── api.py          # FastAPI 应用
│   ├── rotator.py      # 轮转核心逻辑
│   ├── browser.py      # Playwright 自动化
│   ├── quota.py        # 额度检查
│   └── sync.py         # CPA 同步
├── frontend/           # Vue 3 Web 面板
├── docker-compose.yml
├── setup.sh
└── pyproject.toml

重要限制

  • IP 风险:VPS IP 容易被 OpenAI/Cloudflare 标记,强烈建议使用住宅代理
  • 并发限制:同一时间只允许一个 Playwright 操作,避免竞态
  • 服务条款:使用本工具可能违反 OpenAI 服务条款,风险自担
  • 验证码时效:OpenAI 验证码有效期极短,高延迟网络下成功率低

Frequently asked questions

What does the Autoteam Chatgpt Rotation AI skill do?

AutoTeam ChatGPT Team账号自动轮转管理工具,支持Codex额度监控、自动换号、CPA认证同步

Why use Autoteam Chatgpt Rotation on TypingMind?

Because you install it once and use it with any model. Autoteam Chatgpt Rotation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Autoteam Chatgpt Rotation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/reason-machines/trending-skills/tree/main/skills/autoteam-chatgpt-rotation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Autoteam Chatgpt Rotation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Autoteam Chatgpt Rotation?

As many as you like. As long as a model supports skills, you can use Autoteam Chatgpt Rotation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Autoteam Chatgpt Rotation AI skill free?

It is published on GitHub by reason-machines. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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