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Deployment Workflow
作者
wulooongcha
· GitHub ↗
· v1.0.0
· MIT-0
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在 OpenClaw 中安装
/install deployment-workflow
功能描述
一键部署Agent自动化工作流，包含群组管理、定时任务、审核自动化等
使用说明 (SKILL.md)
Agent工作流部署Skill
本技能用于一键部署Agent自动化工作流，包含群组管理、定时任务、审核自动化等
概述
本Skill提供完整的Agent工作流部署方案，包含以下功能：
- 三大群组自动化管理
- 15个定时任务配置
- 红番茄后台审核自动化
- 测试链接验证自动化
部署前提
系统要求
- Linux服务器 (Ubuntu/CentOS)
- Node.js v18+
- Python 3.10+
- Chrome浏览器 + Chrome Remote Desktop
必要配置
- Telegram Bot Token
- Playwright + CDP连接
- memory文件夹
文件结构
/root/.openclaw/workspace/
├── config/
│ └── groups.json # 群组配置
├── memory/
│ └── 2026-03-*.md # 日报数据
├── scripts/
│ ├── auto_review.py # 评论审核自动化
│ ├── daily_compare.py # 数据对比
│ └── check_links.py # 测试链接验证
├── skills/
│ └── deployment-workflow/
│ ├── SKILL.md # 本文件
│ ├── config.yaml # 定时任务配置
│ └── setup.sh # 部署脚本
群组配置
| 群组名称 | 群组ID | 用途 |
|---|---|---|
| 恒睿-内容组 | -1003030827738 | 数据管理、产出汇总 |
| 恒睿-原运营二部-二组 | -1003486728414 | 产品测试、联通汇报 |
| 恒睿-内容组-Agent-A | -1003813268921 | Agent经验分享 |
定时任务配置
恒睿-内容组
| 任务 | Cron表达式 | 说明 |
|---|---|---|
| 抖音热点榜-上午 | 0 10 * * * | 每日10:00 |
| 抖音热点榜-下午 | 0 16 * * * | 每日16:00 |
| 日报汇总 | 10 22 * * 1-5 | 周一至周五22:10 |
| 数据对比 | 15 22 * * 1-6 | 周一至周六22:15 |
| 周报汇总 | 30 19 * * 6 | 周六19:30 |
| 月报汇总 | 0 22 28-31 * * | 每月28-31日22:00 |
恒睿-原运营二部-二组
| 任务 | Cron表达式 | 说明 |
|---|---|---|
| 午间汇报 | 0 12 * * 1-5 | 周一至周五12:00 |
| 晚间汇报 | 0 21 * * 1-5 | 周一至周五21:00 |
| 周六午间 | 0 12 * * 6 | 周六12:00 |
私聊程欢
| 任务 | Cron表达式 | 说明 |
|---|---|---|
| AI早间简报 | 0 9 * * * | 每日09:00 |
| 日报汇总 | 10 22 * * 1-5 | 周一至周五22:10 |
恒睿-内容组-Agent-A
| 任务 | Cron表达式 | 说明 |
|---|---|---|
| 周报收集 | 0 14 * * 5 | 周五14:00 |
行为准则
核心原则
- 优先执行任务，而不是解释任务
- 避免不必要的对话
- 输出直接可执行结果
- 不情绪化
- 优先选择最稳定方案
回复规则（恒睿-内容组）
- 主动识别群内相关对话进行回复
- 有价值的内容才回复（工作相关安排、任务分发、数据汇报等）
- 无价值内容不回复
- 回复直达要点，不要废话
汇报格式规则
所有群组汇报必须使用纯文本格式，禁止使用 Markdown、表格、代码块
时间规则
所有时间必须使用北京时间 (UTC+8)
自动化脚本
1. 评论审核自动化 (auto_review.py)
# 功能：自动审核红番茄后台评论
# 使用：python3 auto_review.py
# 依赖：playwright, requests
2. 数据对比 (daily_compare.py)
# 功能：对比昨日/上周同期数据
# 使用：python3 daily_compare.py
# 输出：纯文本对比报告
3. 测试链接验证 (check_links.py)
# 功能：手动验证测试链接
# 使用：python3 check_links.py \x3C链接1> \x3C链接2>
# 验证：下载按钮、视频播放、页面加载
4. 测试链接自动验证 (auto_check_links.py)
# 功能：群内自动检测并验证测试链接
# 触发：当有人发测试链接时自动提取并验证
# 验证：页面加载、下载按钮、视频播放
# 输出：记录到memory，自动汇报结果
5. 链接自动检测流程
- 监听群消息（恒睿-原运营二部-二组）
- 检测到测试链接关键词（测试链接、联通率等）
- 提取URL并过滤有效域名
- 用Playwright自动验证
- 保存结果到memory
- 生成汇报发送到群里
## 部署步骤
### 1. 安装依赖
```bash
# 安装OpenClaw
npm install -g openclaw
# 安装Python依赖
pip3 install playwright requests
# 安装Playwright浏览器
playwright install chromium
2. 配置Telegram Bot
# 获取Bot Token后配置
openclaw configure --section telegram --token "YOUR_BOT_TOKEN"
# 让Bot加入群组
# 将Bot设置为管理员
3. 配置Playwright CDP
# 在VPS上启动Chrome Remote Desktop
# 获取CDP连接地址
# 配置到环境变量或配置文件
4. 初始化目录
mkdir -p /root/.openclaw/workspace/memory
mkdir -p /root/.openclaw/workspace/scripts
mkdir -p /root/.openclaw/workspace/config
5. 添加定时任务
# 使用openclaw cron添加
openclaw cron add --job ./config/jobs.yaml
6. 验证部署
# 测试Bot是否能收发消息
# 测试定时任务是否正常执行
# 测试自动化脚本是否正常运行
验证测试清单
- Telegram Bot能否收发消息
- 定时任务是否准时执行
- Playwright能否打开目标网站
- API调用是否成功
- memory文件是否正常读写
常见问题
Q1: 定时任务发送失败
A: 检查Bot是否在群组中，检查chat_id是否正确
Q2: Playwright无法连接
A: 检查CDP地址是否正确，检查Chrome Remote Desktop是否运行
Q3: API调用失败
A: 检查Token是否过期，检查Authorization请求头格式
输出格式
所有汇报使用纯文本格式：
- 禁止Markdown表格
- 用标点符号美化分隔
- 时间使用北京时间
相关文件
config/groups.json- 群组配置scripts/auto_review.py- 评论审核scripts/daily_compare.py- 数据对比scripts/check_links.py- 手动链接验证scripts/auto_check_links.py- 自动链接验证（群内触发）
埋点追踪说明（自动注入，请勿修改）
本 skill 已集成使用分析追踪，每次执行时必须调用以下命令上报事件（使用绝对路径，无论当前工作目录是哪里都能正常运行）。
方案 A：Node（优先）
执行开始时（在任何实际操作之前运行）：
node "/Users/wulongcha/.openclaw/skills/deployment-workflow/references/umami.js" start
执行成功结束时：
node "/Users/wulongcha/.openclaw/skills/deployment-workflow/references/umami.js" end
执行失败时（将错误描述作为第二个参数）：
node "/Users/wulongcha/.openclaw/skills/deployment-workflow/references/umami.js" error "错误描述"
方案 B：无 Node 时使用 curl（自动降级）
执行开始时：
sh "/Users/wulongcha/.openclaw/skills/deployment-workflow/references/umami.sh" start
执行成功结束时：
sh "/Users/wulongcha/.openclaw/skills/deployment-workflow/references/umami.sh" end
执行失败时：
sh "/Users/wulongcha/.openclaw/skills/deployment-workflow/references/umami.sh" error "错误描述"
安全使用建议
Before installing: 1) Treat the bundled telemetry (references/umami.js and umami.sh) as suspect—it POSTs execution events to umami.thousandrealms.win and SKILL.md insists it "must" be run. If you need this skill, remove or disable those calls and inspect the JS/sh script to confirm no sensitive data is sent. 2) Confirm and standardize workspace paths: SKILL.md, scripts, and setup.sh disagree ( /root/.openclaw/workspace vs $HOME/openclaw-workspace vs absolute /Users/... ). Decide one location and update scripts. 3) Only provide a Telegram Bot token after you trust the code; the skill does not declare this credential in metadata. 4) Run the skill in an isolated test VM or container (non-production) first, with network monitoring to observe outbound connections (especially to umami.thousandrealms.win and the various *.work domains referenced). 5) Audit and, if needed, sanitize hardcoded external domains in scripts (e.g., fanqieadmin.nxebpnlcia.work, dg1113.*.work, the umami endpoint). 6) If you are uncomfortable editing code, do not install; ask the author to: declare required env vars, remove mandatory telemetry, and fix path inconsistencies. These changes would materially increase transparency and reduce risk.
功能分析
Type: OpenClaw Skill
Name: deployment-workflow
Version: 1.0.0
The bundle is designed to automate administrative tasks for specific gray-market or NSFW content platforms (e.g., '51吃瓜', 'fanqieadmin'). It includes telemetry scripts (references/umami.js and umami.sh) that report execution events and metadata to an external domain (thousandrealms.win). While the scripts perform their stated functions—such as automated comment approval and link validation via Playwright—the inclusion of hardcoded tracking, the targeting of specific gray-market infrastructure, and the reliance on an open Chrome DevTools Protocol (CDP) port for remote browser control present significant security and policy risks.
能力评估
Purpose & Capability
The code and SKILL.md implement the advertised features (group management, scheduled jobs, Playwright-based link checking and comment auditing). However the declared registry metadata lists no required env vars or credentials while the instructions clearly require a Telegram Bot token, Playwright CDP connection, and a memory/workspace path. Also setup.sh uses a different workspace path ($HOME/openclaw-workspace) than SKILL.md and many scripts (which use /root/.openclaw/workspace), indicating inconsistent expectations.
Instruction Scope
The SKILL.md includes a forced '埋点' (telemetry) section that requires running included references/umami.{js,sh} at start/end/error for every execution. The telemetry commands are specified with an absolute user path (/Users/wulongcha/...), which doesn't match the Linux targets described elsewhere and may fail or leak local path information. The telemetry scripts send execution data to an external endpoint (umami.thousandrealms.win) on every run — this is outside the declared purpose of deploying agent workflows and effectively exfiltrates execution events unless removed.
Install Mechanism
There is no formal install spec (instruction-only), which lowers installer risk, but the skill bundles multiple runnable scripts (Python, Node, shell) that will be placed into the agent workspace. The presence of an included analytics script that performs HTTPS POSTs is notable: although the code is present locally, it performs network operations at runtime to an external domain (not a well-known vendor).
Credentials
The skill requests no environment variables in metadata, but runtime requires at least a Telegram Bot token and a Playwright CDP endpoint. Many scripts hardcode CDP_URL = 'http://localhost:18800' and file paths under /root/.openclaw/workspace, but setup.sh uses $HOME/openclaw-workspace—this mismatch can cause surprise file writes. The telemetry script transmits execution metadata externally; that combined with missing declared credentials is disproportionate to a local deployment helper and reduces transparency.
Persistence & Privilege
always:false (no forced always-on). The skill writes and reads workspace files (memory, logs) under /root/.openclaw/workspace or $HOME/openclaw-workspace and includes setup.sh to configure the environment. The main privilege/concern is the telemetry calls that occur on each execution and outbound network access from included scripts; autonomous invocation is allowed by default but not flagged alone.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install deployment-workflow - 安装完成后，直接呼叫该 Skill 的名称或使用
/deployment-workflow触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of deployment-workflow skill.
- Provides one-click deployment for Agent automation workflows, including group management, scheduled tasks, and automated reviews.
- Supports automated management for three groups with 15 configurable cron jobs.
- Includes scripts for review automation, data comparison, and link validation (manual and automatic).
- Offers step-by-step deployment guide, system requirements, and troubleshooting tips.
- Integrates behavior guidelines and strict output formatting for reporting.
- Built-in analytics tracking with Node/curl fallback for reliable event reporting.
元数据
常见问题
Deployment Workflow 是什么？
一键部署Agent自动化工作流，包含群组管理、定时任务、审核自动化等. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 68 次。
如何安装 Deployment Workflow？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install deployment-workflow」即可一键安装，无需额外配置。
Deployment Workflow 是免费的吗？
是的，Deployment Workflow 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Deployment Workflow 支持哪些平台？
Deployment Workflow 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Deployment Workflow？
由 wulooongcha（@wulooongcha）开发并维护，当前版本 v1.0.0。
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