Automatically logs into email accounts (Gmail, Outlook, QQ Mail, etc.) and generates daily email summaries. Use when the user wants to get a summary of their emails, check important messages, or create daily email digests.

Automatically logs into email accounts (Gmail, Outlook, QQ Mail, etc.) and generates daily email summaries. Use when the user wants to get a summary of their emails, check important messages, or create daily email digests.

Security Scan

The skill's stated purpose (generate daily email summaries) matches the instructions (browser automation to read mail), but the runtime instructions ask you to install/run a third‑party CLI, handle live logged‑in sessions and passwords, and reference environment variables and installation steps that are not declared — this combination raises privacy and provenance concerns.

Purpose & Capability

The skill's name/description (daily email summaries) matches what the SKILL.md instructs: open webmail, extract messages, take screenshots, and produce summaries. Using browser automation to scrape inboxes is a coherent approach for this purpose.

Instruction Scope

The instructions tell the agent/operator to reuse logged-in browser sessions or perform manual logins (including entering passwords via automation). They instruct scraping full email content and taking screenshots — highly sensitive operations. The SKILL.md also references an environment variable (BROWSER_USE_API_KEY) and uses commands that can capture and persist email data, but these env vars/credentials are not declared in the skill metadata. The skill grants broad discretion (e.g., JS eval, Python snippets) to extract arbitrary page content which could exfiltrate anything visible in the browser session.

Install Mechanism

There is no formal install spec in the registry, but the SKILL.md instructs installing a third‑party package ('browser-use') via pip. Installing arbitrary PyPI packages is a material risk if you don't trust the package author. The install command contains a likely typo ('uv pip install'), which is suspicious or at least unclear and would mislead users. Because no source/homepage is provided, provenance of the required tooling is unknown.

Credentials

The skill metadata declares no required env vars or credentials, but the instructions mention BROWSER_USE_API_KEY and advise (implicitly) reusing browser sessions or entering email passwords. Requesting or using email account credentials is highly sensitive and is not justified in the metadata. The skill does not explain what remote services (if any) the browser-use CLI contacts or whether extracted email content is transmitted off‑device.

Persistence & Privilege

The skill itself is not always-enabled and does not request elevated platform privileges. However the instructions include setting up cron/launchd jobs to run the scraping regularly and writing screenshots/reports to disk. Scheduling repeated automated access to an email account increases the impact if the tooling or configuration is insecure or malicious.

What to consider before installing

Before installing or running this skill, consider the following: - This skill requires a third‑party CLI (browser-use) that the SKILL.md asks you to pip install, but the package source and maintainer are not provided — verify the package on PyPI/GitHub and inspect its code before installing. - The runtime instructions reuse logged‑in browser sessions or automate entering passwords. Never store plain passwords in scripts; prefer official OAuth flows or app‑specific credentials with least privilege. - The skill references BROWSER_USE_API_KEY and other runtime secrets but the registry metadata doesn't declare them. Treat any tool that can access your browser session or run JS on webmail pages as capable of reading and exfiltrating sensitive data. - The install command contains a typo ('uv pip install'), which may break flows or be an attempt to obfuscate — confirm the correct install steps from an authoritative source. - If you decide to proceed: run the tooling in a controlled environment (VM/container), audit the browser-use package source, avoid entering primary account passwords (use app passwords or OAuth where possible), and restrict network access to limit potential data exfiltration. If you cannot verify the provenance of 'browser-use' and how it handles extracted data, do not run this skill against primary/important email accounts.

Email Daily Summary Skill

这个技能帮助你自动登录邮箱，获取邮件内容，并生成每日邮件总结。

功能特性

• 🔐 支持多种邮箱登录（Gmail、Outlook、QQ 邮箱、163 邮箱等）
• 📧 自动获取最新邮件列表
• 📝 智能生成邮件摘要
• 🏷️ 按重要性/发件人/主题分类
• 📊 生成每日邮件统计报告

前置要求

1. 安装 browser-use CLI：

uv pip install browser-use[cli]
browser-use install

2. 确保已在浏览器中登录过邮箱（使用 real 模式可直接复用登录状态）

使用方法

方式一：使用已登录的浏览器（推荐）

使用 --browser real 模式可以复用你 Chrome 浏览器中已登录的邮箱会话：

# Gmail
browser-use --browser real open https://mail.google.com

# Outlook
browser-use --browser real open https://outlook.live.com

# QQ 邮箱
browser-use --browser real open https://mail.qq.com

# 163 邮箱
browser-use --browser real open https://mail.163.com

方式二：手动登录流程

如果需要手动登录，使用 --headed 模式查看操作过程：

# 打开邮箱登录页面（以 Gmail 为例）
browser-use --headed open https://accounts.google.com

# 查看页面元素
browser-use state

# 输入邮箱地址（根据 state 返回的索引）
browser-use input <email_input_index> "[e-mail]"
browser-use click <next_button_index>

# 输入密码
browser-use input <password_input_index> "your-password"
browser-use click <login_button_index>

# 跳转到邮箱
browser-use open https://mail.google.com

获取邮件列表

登录成功后，获取邮件列表：

# 获取当前页面状态，查看邮件列表
browser-use state

# 截图保存当前邮件列表
browser-use screenshot emails_$(date +%Y%m%d).png

# 使用 JavaScript 提取邮件信息（Gmail 示例）
browser-use eval "
  const emails = [];
  document.querySelectorAll('tr.zA').forEach((row, i) => {
    if (i < 20) {
      const sender = row.querySelector('.yX.xY span')?.innerText || '';
      const subject = row.querySelector('.y6 span')?.innerText || '';
      const snippet = row.querySelector('.y2')?.innerText || '';
      const time = row.querySelector('.xW.xY span')?.innerText || '';
      emails.push({ sender, subject, snippet, time });
    }
  });
  JSON.stringify(emails, null, 2);
"

使用 Python 生成邮件总结

# 初始化邮件数据收集
browser-use python "
emails_data = []
summary_date = '$(date +%Y-%m-%d)'
"

# 滚动页面加载更多邮件
browser-use python "
for i in range(3):
    browser.scroll('down')
    import time
    time.sleep(1)
"

# 提取邮件数据（需要根据实际邮箱 DOM 结构调整）
browser-use python "
import json

# 获取页面 HTML 进行解析
html = browser.html

# 这里需要根据具体邮箱服务解析 HTML
# 示例：统计基本信息
print(f'=== 邮件日报 {summary_date} ===')
print(f'页面 URL: {browser.url}')
print(f'页面标题: {browser.title}')
"

# 截图保存
browser-use python "
browser.screenshot(f'email_summary_{summary_date}.png')
print(f'截图已保存: email_summary_{summary_date}.png')
"

完整的每日邮件总结脚本

创建一个完整的总结流程：

#!/bin/bash
# email_daily_summary.sh

DATE=$(date +%Y-%m-%d)
TIME=$(date +%H:%M:%S)
OUTPUT_DIR="./email_summaries"
mkdir -p "$OUTPUT_DIR"

echo "=========================================="
echo "📧 邮件日报生成中..."
echo "日期: $DATE $TIME"
echo "=========================================="

# 1. 打开邮箱（使用已登录的浏览器）
browser-use --browser real open https://mail.google.com

# 2. 等待页面加载
sleep 3

# 3. 获取页面状态
echo ""
echo "📋 当前邮箱状态:"
browser-use state

# 4. 截图保存邮件列表
echo ""
echo "📸 保存截图..."
browser-use screenshot "$OUTPUT_DIR/inbox_$DATE.png"

# 5. 提取邮件数据
echo ""
echo "📊 邮件统计:"
browser-use eval "
(() => {
  const unreadCount = document.querySelectorAll('.zE').length;
  const totalVisible = document.querySelectorAll('tr.zA').length;
  return JSON.stringify({
    unread: unreadCount,
    visible: totalVisible,
    timestamp: new Date().toISOString()
  });
})()
"

# 6. 关闭浏览器
echo ""
echo "✅ 完成！截图保存至: $OUTPUT_DIR/inbox_$DATE.png"
browser-use close

支持的邮箱服务

邮箱服务	登录 URL	收件箱 URL
Gmail	https://accounts.google.com	https://mail.google.com
Outlook	https://login.live.com	https://outlook.live.com
QQ 邮箱	https://mail.qq.com	https://mail.qq.com
163 邮箱	https://mail.163.com	https://mail.163.com
126 邮箱	https://mail.126.com	https://mail.126.com
企业微信邮箱	https://exmail.qq.com	https://exmail.qq.com

生成 AI 邮件摘要

如果配置了 API Key，可以使用 AI 自动生成邮件摘要：

# 使用 AI 提取邮件摘要（需要 BROWSER_USE_API_KEY）
browser-use --browser real open https://mail.google.com
browser-use extract "提取前 10 封邮件的发件人、主题和摘要，按重要性排序"

定时任务设置

macOS/Linux (crontab)

# 编辑 crontab
crontab -e

# 添加每日早上 9 点执行的任务
0 9 * * * /path/to/email_daily_summary.sh >> /path/to/logs/email_summary.log 2>&1

macOS (launchd)

创建 ~/Library/LaunchAgents/com.email.dailysummary.plist：

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
    <key>Label</key>
    <string>com.email.dailysummary</string>
    <key>ProgramArguments</key>
    <array>
        <string>/bin/bash</string>
        <string>/path/to/email_daily_summary.sh</string>
    </array>
    <key>StartCalendarInterval</key>
    <dict>
        <key>Hour</key>
        <integer>9</integer>
        <key>Minute</key>
        <integer>0</integer>
    </dict>
    <key>StandardOutPath</key>
    <string>/tmp/email_summary.log</string>
    <key>StandardErrorPath</key>
    <string>/tmp/email_summary_error.log</string>
</dict>
</plist>

加载任务：

launchctl load ~/Library/LaunchAgents/com.email.dailysummary.plist

输出示例

生成的邮件总结报告格式：

==========================================
📧 邮件日报 - 2026-01-30
==========================================

📊 统计概览:
- 未读邮件: 12 封
- 今日新邮件: 28 封
- 重要邮件: 5 封

🔴 重要邮件:
1. [工作] 来自 [e-mail]
   主题: 项目进度汇报 - 紧急
   时间: 09:30

2. [财务] 来自 [e-mail]
   主题: 账单提醒
   时间: 08:15

📬 今日邮件分类:
- 工作相关: 15 封
- 订阅通知: 8 封
- 社交媒体: 3 封
- 其他: 2 封

💡 建议操作:
- 回复 [e-mail] 的邮件
- 处理 3 封需要审批的邮件

==========================================

安全提示

⚠️ 重要安全建议：

1. 不要在脚本中明文保存密码，优先使用 --browser real 模式复用已登录会话
2. 敏感信息使用环境变量存储
3. 定期检查授权应用，移除不需要的第三方访问
4. 启用两步验证保护邮箱安全
5. 日志文件不要包含敏感信息

故障排除

登录失败？

# 使用 headed 模式查看登录过程
browser-use --browser real --headed open https://mail.google.com

页面元素找不到？

# 等待页面完全加载
sleep 5
browser-use state

会话过期？

# 关闭所有会话重新开始
browser-use close --all
browser-use --browser real open https://mail.google.com

清理

完成后记得关闭浏览器：

browser-use close