📰 daily-brief · 10 分钟拥有你自己的 AI 每日简报

你的私人 AI 每日简报，跑在你自己掌控的基础设施上。 23 个数据源 · LLM 摘要 · 21 个股票/加密标的技术指标 + AI 交易点评 · 中英双语 · 5 个 LLM 后端可选。

三种部署任选：🚀 5 分钟 Fork 到 GitHub Actions · 💻 本地一键装 · 🤖 一句话让 AI Agent 帮你装。

🌐 Live demos — 📰 leiting-eric.github.io/DailyBrief（A 方式 · GitHub Actions + Pages） · 📰 daily.leiting.tech（B 方式 · 本地服务器部署）

✨ 核心特性

🌍 全网多源聚合：23 个数据源覆盖硅谷科技、AI 前沿、全球财经、国际时政、中文社区，一份报告通吃
📈 21 个标的实时行情：美股 / 加密 / 港股 / 商品外汇 / 宏观信号，附 SMA / RSI / MACD 技术指标 + LLM 每日交易点评
🤖 5 个 LLM 后端可插拔：Claude CLI / Anthropic / OpenAI / DeepSeek / MiniMax，一个环境变量切换，不绑死任何家
🌐 中英双语：REPORT_LOCALE=en 一切——数据源、prompt、UI 文案、Bullish/Bearish stance 全套切英文
🚀 部署灵活：GitHub Actions（零基础设施）/ 本地系统调度器 / 自托管服务器三选一，互不冲突可并存
🆓 数据源零 API key：所有源走免费公开端点（RSS / 公开 JSON），不需要付费订阅
🔒 不绑定第三方阅读服务：Feedly / Inoreader / Pocket 那些都不沾，你看了什么是你自己的事
📁 单文件 HTML：CSS + JS 全内联，无外部依赖，scp 上服务器直接当首页

📚 信源图谱

23 个数据源（zh 模式）/ 22 个（en 模式），分布如下：

🧑‍💻 技术动态

GitHub Trending · 热榜每日刷新
AI 媒体（merged）：OpenAI / DeepMind / Hugging Face Blog / TLDR AI / Smol AI / Latent Space / MIT Tech Review
X 推文（attentionvc-ai）：精选 AI 圈大佬动态

📈 市场行情（非新闻源，21 个标的）

美股 / ETF：SPY / QQQ / AAPL / MSFT / NVDA / GOOGL / TSLA / META
加密：BTC / ETH / SOL（附 alt.me 加密恐慌贪婪指数 + CoinGecko 总览）
中港：BABA / PDD / JD / 0700.HK
商品外汇：GC=F（黄金）/ CL=F（WTI 原油）/ USDCNY=X
宏观信号：^VIX / ^TNX（10Y 美债）/ DXY（美元指数）

🌍 时政观察

BBC / Guardian / NYT / NPR / DW 中文 / Al Jazeera / The Diplomat — 7 家主流国际媒体的 World 频道

💰 财经要点

Bloomberg / WSJ / FT / BBC Business / Economist — 5 家全球财经主力

💬 社区讨论

zh 模式：V2EX 热榜 / LinuxDo 热帖
en 模式：Hacker News / Reddit r/stocks（自动替换上面两个）

完整列表 + 启用状态：npm run sources 查看；改源 → 编辑 sources.config.json。

🚀 三种部署方式选一种

方式	适合谁	你需要	几分钟搞定
A. GitHub Actions + Pages	没服务器、不想常开电脑	一个 API key（Anthropic / OpenAI / DeepSeek / MiniMax 任一）	~5 分钟（推荐）
B. 本地一键装	有常开的电脑/服务器、想极致便宜	Node 20+，可选 Claude Code 登录	~3 分钟
C. 给 AI Agent 一句话	懒、想让 Cursor / Codex / Claude Code 帮你装	同上	一句话

A. GitHub Actions + Pages（零基础设施，推荐）

Fork 这个 repo（GitHub 右上角 Fork 按钮）
进 Fork 的 repo → Settings → Actions → General → Workflow permissions 设为 Read and write permissions
Settings → Pages → Build and deployment → Source 选 "Deploy from a branch"，分支 gh-pages / 路径 / (root)（第一次跑完才会出现 gh-pages 分支，先建 secret 再触发一次即可）

🔑 配置 LLM 后端 —— 这步是关键。每个后端都要一个 secret + 对应的 LLM_BACKEND variable（不只是 secret），按下表对照填：

你想用	Secrets 标签加	Variables 标签加 `LLM_BACKEND`	大致成本
🟣 Anthropic Sonnet（默认，prompt 按 Sonnet 调优）	`ANTHROPIC_API_KEY`	不填或填 `anthropic`	~$0.03-0.05 / 天，月 < $2
🐋 DeepSeek（便宜大碗，中文友好）	`DEEPSEEK_API_KEY`	`deepseek`	~$0.01-0.02 / 天，月 < $1
🟢 OpenAI	`OPENAI_API_KEY`	`openai`	gpt-4o-mini ~$0.02 / 天
🔵 MiniMax	`MINIMAX_API_KEY`	`minimax`	类似 DeepSeek 量级
🌀 中转站 / 反代 / 其他 OpenAI 兼容服务（Moonshot / SiliconFlow / OpenRouter / 自建 Claude 反代 / 本地 Ollama / LM Studio 等）	`LLM_API_KEY`	`openai`（极少数 Anthropic 协议反代填 `anthropic`）	看服务方定价

位置：Settings → Secrets and variables → Actions，左边切换 Secrets / Variables 两个标签。

🌀 选了最后一行"中转站"的额外步骤：Variables 还要加 LLM_BASE_URL（中转站给的 endpoint，如 https://api.moonshot.cn/v1）和 LLM_MODEL（如 moonshot-v1-8k）。不确定协议？默认 LLM_BACKEND=openai 覆盖 95% 中转站；如果跑挂报 404 / 协议错误再改成 anthropic。

（可选）同页 Variables 再加：
- LLM_MODEL —— 覆盖该 backend 的默认模型（不填用 .env.example 里列的默认）
- LLM_BASE_URL —— 自定义 endpoint。选了上面"中转站"那行的话必填；本地 Ollama 填 http://localhost:11434/v1、LM Studio 填 http://localhost:1234/v1
- REPORT_LOCALE —— zh（默认）或 en，控制数据源 + UI + prompt 全套切英文
- REPORT_TZ —— IANA 时区名（默认 UTC），例 Asia/Shanghai / America/Los_Angeles。同时影响触发时间和日期标签
- REPORT_HOUR —— 触发的小时（基于 REPORT_TZ），默认 8（早 8 点）。逗号分隔可多次触发，如 8,18 = 早 8 + 晚 6
- REPORT_DAYS —— 触发的星期（cron 风格，0=周日 ... 6=周六），默认 *（每天）。例 1-5 = 工作日；1,3,5 = 周一三五
Actions 标签 → 选 "Daily Brief" workflow → Run workflow 手动触发一次

跑完后报告在 https://<你的用户名>.github.io/<repo-名字>/。之后默认每天 REPORT_TZ 时区的 08:00 自动更新（不设 REPORT_TZ 就是 UTC 08:00）。

⏰ 触发机制：GitHub Actions 的 cron 只接受 UTC，所以工作流 cron 设置为每小时跑一次，里面有一个 gate 任务用 REPORT_TZ 把当前小时和 REPORT_HOUR/REPORT_DAYS 对照——匹配才往下跑 build，否则秒退。这样不论你在哪个时区都能精准命中本地时间，夏令时也自动跟着切换（IANA 时区数据库内置）。

常用 schedule 配方：

想要	`REPORT_HOUR`	`REPORT_DAYS`
每天 08:00（默认）	不填或 `8`	不填或 `*`
每天早晚两次（8 + 18 点）	`8,18`	`*`
工作日 09:00	`9`	`1-5`
周一/三/五早 7 晚 9 两次	`7,21`	`1,3,5`
每 6 小时一次	`0,6,12,18`	`*`

只想要默认每天 08:00 本地时间，只填 REPORT_TZ 一个变量就够了（如 Asia/Shanghai），其他全部留空。

💸 成本估算：GitHub Actions 公开 repo 完全免费。Pages 公开 repo 也免费。唯一花钱的就是 LLM API 调用——DeepSeek 月成本不到 $1，Anthropic Sonnet < $2。

⚠️ 用 GH Actions 模式就意味着用不了本地 claude CLI——Claude Code 的 OAuth 登录在你本机，GitHub 的服务器看不到。如果你已经在 Max 订阅里，建议两条路并行：本地装（B 方式）用 Claude CLI 跑你自己的服务器版本，GH Actions 用 DeepSeek 跑 Pages 公开版本。两份报告独立，互不影响。

🐛 A 方式常见坑

"Upgrade or make this repository public to enable Pages" —— GitHub Pages 在 Free 账户的 Private repo 上不可用。Settings → General → Danger Zone → Change visibility 改 Public。Actions Secrets 在 Public repo 里依然加密保护，对其他人不可见
Variable name 报 "alphanumeric only" —— 输入 LLM_BACKEND 时下划线被中文输入法替换成了全角 ＿（U+FF3F）。切到英文输入法 Shift+- 重打
第一次跑完才能选 Pages source —— Pages 设置页要求选已存在的分支，但 gh-pages 是首次 workflow 跑成功后才创建出来。顺序：配 secret → 触发 workflow → 跑完 → 回 Settings → Pages 选 gh-pages
Action 红 X 怎么看具体原因 —— 点失败的 build → 左边列出每个 step → 找有红 X 的那步点开看 log。最常见两类：401/402 = API key 拼错或没余额；403 = workflow permissions 没设成 Read and write
跑了 30 秒就挂 —— 多半是 secret/variable 没配对（光填了 secret 没填 LLM_BACKEND variable）或者 LLM API 返 400。看 step "Generate today's report" 的 log

B. 本地一键装

# Linux / macOS
curl -sSL https://raw.githubusercontent.com/leiting-eric/DailyBrief/main/bootstrap.mjs | node

# Windows PowerShell
irm https://raw.githubusercontent.com/leiting-eric/DailyBrief/main/bootstrap.mjs | node -

这条命令会自动：

检查 Node / git / claude CLI 是否就位（没装 claude CLI 只发警告，可继续走 API 后端）
git clone 到 ~/daily-brief（Windows: %USERPROFILE%\daily-brief）
npm install
注册系统定时（Windows Task Scheduler / macOS launchd / Linux cron，默认 16:00 本地时间）
写 ~/.daily-brief-config 记录项目路径
在 ~/.claude/ 建符号链接让 Claude Code 的 skill 和 slash command 全局可用
跑一次 npm run dry-run 烟测

🎁 Claude Code 用户额外福利：装完后任意目录都能 /run-daily、/check-daily，描述问题（"日报又挂了"）也能触发 daily-brief skill 自动加载。其他 agent（Cursor / Codex）没有 skill 加载机制，但定时任务跑得起来。手动触发用：

平台	手动触发
Windows	`Start-ScheduledTask -TaskName DailyBrief`
macOS	`launchctl start com.daily-brief`
Linux	`node scripts/run-daily.mjs`（cron 不支持手动触发）

自定义路径 / 触发时间：

node bootstrap.mjs --target /custom/path --at 07:30

LLM 后端：默认走本地 claude CLI（首次需在浏览器登录一次：echo "hi" | claude --print --model sonnet，登录后永久生效）。不用 Claude Code 就跳过它，复制 .env.example 到 .env.local 把 LLM_BACKEND 切到 OpenAI / Anthropic / DeepSeek / MiniMax —— 见 LLM 后端配置。

C. 给 AI Agent 一句话装

无论你用哪个 AI Agent（Claude Code / Cursor / Codex / Continue.dev / OpenClaw 等），把下面这段发给它：

帮我装这个开源项目，按 README 的"本地一键装"流程跑 bootstrap，完成后告诉我下次自动触发的时间： https://github.com/leiting-eric/DailyBrief

项目里有 AGENTS.md（通用 agent 协议）+ .claude/skills/daily-brief/SKILL.md（Claude Code 专属，更详细），Agent 装完后能直接帮你诊断"今天报告没出来"、"加个新数据源"这类问题。

📋 前置要求

Node.js 20+ + npm + git（B/C 方式本地需要；A 方式不需要——GH Actions 容器自带）
一个能跑的 LLM（任选其一）：Claude Code CLI 已登录 / Anthropic / OpenAI / DeepSeek / MiniMax 任一家的 API key
平台：Windows 10/11、macOS 12+、Linux（任一平台都支持，定时机制自动适配）

🔧 手动安装

# 1. clone + 依赖
git clone https://github.com/leiting-eric/DailyBrief.git
cd DailyBrief
npm install

# 2. 配置 LLM 后端
#    默认 claude CLI（如果没登录会引导你登录）：
echo "say hi in Chinese" | claude --print --model sonnet
#    或用其他 backend：cp .env.example .env.local 编辑 LLM_BACKEND 和对应 API key

# 3. 注册定时 + 启用全局 skill
node scripts/install.mjs --global
# 也可指定时间：node scripts/install.mjs --at 07:30 --global

# 4. 立即触发一次测试
# Windows:  Start-ScheduledTask -TaskName DailyBrief
# macOS:    launchctl start com.daily-brief
# Linux:    node scripts/run-daily.mjs

下次触发时机：

🪟 Windows — 系统会自动唤醒电脑（如在睡眠），跑完再回睡
🍎 macOS — launchd 不会主动唤醒，电脑睡着的话跳过这次（需要 pmset wake schedule 配合）
🐧 Linux — cron 同理，挂起期间不跑

🛠️ 日常命令

命令	用途	耗时
`npm run daily`	手动完整跑一次	5-8 min
`npm run dry-run`	只抓取不调 LLM，验证数据源	~30s
`npm run render [date]`	改了 CSS/排版后重渲染	<1s
`npm run regen-trading [date]`	重做交易部分	~2 min
`npm run regen-enrich <cat:sub> [date]`	补缺失的中文摘要	~30s
`npm run open`	在 Chrome 打开今日报告	即时
`npm run quota-report`	看各 LLM backend 用量统计	即时
`npm run sources`	列出所有数据源（按 locale 标注启用/过滤状态）	即时
`npm run sources:check`	仅校验 `sources.config.json` schema（适合 CI / pre-commit）	即时

📊 数据源配置

数据源以 JSON 数组形式集中存储在项目根的 sources.config.json —— 唯一配置入口，不需要改 TypeScript 代码即可加/禁/调整源。每条记录的字段：

字段	必填	说明
`id`	✓	全局唯一短标识（dispatch.ts 用 id 路由到对应 fetcher）
`name`	✓	UI 显示名
`type`	✓	`rss` / `api` / `scrape`
`url`	✓	RSS feed 或 API endpoint
`category`	✓	`tech` / `finance` / `politics`，决定 L1 tab
`subcategory`		`tech` 下的 L2 分组（`github-trending` / `ai-news` / `x-viral` / `cn-community`）；`finance` 下统一 `news`
`enabled`		默认 `true`，设 `false` 跳过抓取（保留记录便于回滚）
`useCurl`		若该源被 Cloudflare TLS-fingerprint 拦了 Node undici，设 `true` 让 rss.ts 走 curl 子进程
`lang`		`zh` 表示源内容是中文 — enrich 阶段会跳过它（无需把中文翻译成中文）
`locales`		数组，标明该源出现在哪些 report locale 下。默认 `["zh", "en"]`
`notes`		任意备注（如"被废弃因为 feed 死了"），运行时忽略

加一个 RSS 源

编辑 sources.config.json，追加一条记录
跑 npm run sources:check 校验 schema
npm run dry-run 抓一次验证拉取正常
下次 npm run daily 自动包含

🌐 Locale 模式（zh / en）

通过 REPORT_LOCALE 环境变量切换：

# .env.local
REPORT_LOCALE=zh    # 默认 — 中文 mode，含 V2EX / LinuxDo / DW 中文等中文源
# REPORT_LOCALE=en  # 英文 mode — 自动过滤掉 zh-only 源，挂上 en-only 源

每个源在 JSON 里的 locales 字段决定它在哪些模式下出现：

["zh"] — 仅中文 mode（V2EX / LinuxDo / DW 中文）。英文用户读不懂，英文 mode 自动 drop
["en"] — 仅英文 mode（Hacker News / r/stocks 英文社区源，替代中文社区源）。zh mode 不显示
["zh", "en"]（默认）— 两 mode 都参与（BBC / Bloomberg / WSJ / NYT 全球英文源 + AI 资讯源）

当前启用源（enabled: true）按 locale 分布：

Locale	启用源数	主要构成
`zh`	23	20 个全球英文源（附中文摘要）+ 3 个中文专属（V2EX / LinuxDo / DW 中文）
`en`	22	20 个全球英文源 + 2 个英文社区（Hacker News + r/stocks）

英文 mode 完整切换：HTML UI 文案、enrichment / digest / trading-commentary 三套 prompt、stance 词（"偏上行/偏下行/中性" → Bullish/Bearish/Neutral）、日期格式（zh-CN → en-GB）、Markdown 输出 —— 全部跟着 REPORT_LOCALE 切。中文社区源在英文 mode 下被自动过滤掉。

🤖 LLM 后端配置

项目通过 LLM_BACKEND 环境变量切换后端。默认 claude-cli —— 直接复用 Claude Code 已登录的认证，不需要额外配 API key。不用 Claude Code、或想走自己的 API key，按下表切换。

把 .env.example 复制成 .env.local（gitignored），按 backend 解开对应几行：

backend	API key 环境变量	默认 model	base URL
🎯 `claude-cli` （默认）	不需要，复用 Claude Code OAuth	`sonnet`	—
🟣 `anthropic`	`ANTHROPIC_API_KEY`	`claude-sonnet-4-6`	`api.anthropic.com`
🟢 `openai`	`OPENAI_API_KEY`	`gpt-4o-mini`	`api.openai.com/v1`
🐋 `deepseek`	`DEEPSEEK_API_KEY`	`deepseek-v4-flash`	`api.deepseek.com/v1`
🔵 `minimax`	`MINIMAX_API_KEY`	`MiniMax-M2.7`	`api.minimax.io/v1` ¹

¹ 中国大陆访问设 MINIMAX_BASE_URL=https://api.minimaxi.com/v1。

通用覆盖项：

LLM_MODEL=<id> —— 任意 backend 的 model 都能用这个变量覆盖默认（如 LLM_MODEL=gpt-4o 走 openai 的更大模型）
<BACKEND>_BASE_URL —— 走自托管代理 / 兼容服务（如 LM Studio / Ollama 跑 OpenAI 兼容接口 → LLM_BACKEND=openai + OPENAI_BASE_URL=http://localhost:1234/v1）
LLM_API_KEY / LLM_BASE_URL —— 通用别名，专用变量没设时 fallback 到这里。用 Moonshot / SiliconFlow / OpenRouter / 自建反代等非预设服务时推荐用这对，避免 OPENAI_API_KEY 这样的语义错位。例：跑 Moonshot 只要 LLM_BACKEND=openai + LLM_API_KEY=sk-... + LLM_BASE_URL=https://api.moonshot.cn/v1 + LLM_MODEL=moonshot-v1-8k

怎么选

你的情况	推荐 backend
已经在用 Claude Code（任意订阅等级）	`claude-cli` — 零配置，按你订阅的等级走
不用 Claude Code，只想低成本跑日报	`openai` 配 `gpt-4o-mini`、或 `deepseek` 配 `deepseek-v4-flash`（更便宜）
中文摘要质量优先，预算可放宽	`anthropic` 配 `claude-sonnet-4-6`
国内网络访问，要规避 GFW	`deepseek` 或 `minimax`（都是国内厂商）

切 backend 不需要改代码：所有 prompt 都在 lib/ai/prompts.ts 抽离，跟 backend 无关；JSON 错误兜底（jsonrepair）也是 backend-agnostic。切完后跑一次 npm run daily，进 logs/llm-calls.jsonl 看新 backend 的调用记录。

🌐 自托管部署（可选）

每次 npm run daily 跑完，自动把新 HTML 推到自己的服务器，访客打开 https://your-domain/ 就能看到当天最新报告。默认不启用，环境变量不设就跳过。

一次性服务器准备

假设服务器跑 Ubuntu + nginx + 已申请域名，登录用户有 sudo NOPASSWD：

# 服务器上
sudo mkdir -p /var/www/your-domain && sudo chown -R www-data:www-data /var/www/your-domain

/etc/nginx/sites-available/your-domain.conf：

server {
    listen 80;
    server_name your-domain;
    root /var/www/your-domain;
    index index.html;
    location / { try_files $uri $uri/ =404; }
}

启用 + 自动签 SSL：

sudo ln -s /etc/nginx/sites-available/your-domain.conf /etc/nginx/sites-enabled/
sudo nginx -t && sudo systemctl reload nginx
sudo certbot --nginx -d your-domain --agree-tos --redirect

本地启用 auto-deploy

.env.local（gitignored）加两行：

DEPLOY_HOST=user@your-server-ip
DEPLOY_PATH=/var/www/your-domain

之后：

✅ 每次 npm run daily 跑完，自动 scp 当天 HTML 到服务器 + 刷新 index.html
✅ npm run deploy [YYYY-MM-DD] 手动推任意一天
✅ 部署失败不阻断 daily 本身（HTML 已经在本地 daily_reports/ 落盘，可重跑 npm run deploy 补推）

💡 Claude Code 集成

装好后任意目录（不必 cd 进项目）打开 Claude Code 都可用：

触发	行为
`/run-daily`	立即触发 daily 并后台监听到完成。从任意目录都行
`/check-daily`	查任务状态 + 报告文件 + 配额
描述问题（"日报又挂了"、"X 推文为啥没更新"等）	`daily-brief` skill 的关键词触发自动加载，让 Claude 直接懂这个项目

实现机制：scripts/install.mjs --global 在 ~/.claude/ 下建符号链接，指向项目内的 .claude/skills/daily-brief/SKILL.md 和 .claude/commands/ 文件——单一源，编辑项目文件等于编辑用户级 skill。当 symlink 因权限受限失败时（如 Windows 无开发者模式），自动 fallback 到 copy。~/.daily-brief-config 记录项目实际路径，让 slash command 在任意 cwd 都能找到项目。

📁 项目结构

daily-brief/
├── lib/
│   ├── sources/        # RSS / API / curl 抓取器；新加源在这里
│   ├── ai/             # 可插拔 LLM 后端 + 提示词（lib/ai/backends/ 下每个 backend）
│   ├── trading/        # Yahoo Finance + 技术指标
│   ├── output/         # 渲染层 (HTML / Markdown)
│   └── utils.ts        # 小工具（todayKey / getReportTz）
├── scripts/
│   ├── _env.ts         # dotenv 预加载（被所有入口脚本第一个 import）
│   ├── daily.ts        # 主管线
│   ├── dry-run.ts      # 只抓取不调 LLM，验证数据源
│   ├── render.ts       # 重渲染
│   ├── regen-*.ts      # 局部重跑（trading / enrich）
│   ├── quota-report.ts # LLM 用量统计
│   ├── sources.ts      # `npm run sources` — 列源 + 校验 JSON
│   ├── run-daily.mjs   # OS 调度器调用的包装（含自动 deploy + open）
│   ├── open-report.mjs # 打开最新报告（跨平台）
│   ├── build-site.mjs  # 生成 GH Pages 静态站 (index + archive)
│   ├── deploy.mjs      # scp 到远端 nginx 服务器（可选）
│   ├── install.mjs     # 注册定时任务（Win/Mac/Linux 自适应）
│   └── uninstall.mjs   # 卸载
├── sources.config.json # 数据源唯一配置入口
├── daily_reports/      # 输出 (gitignored)
│   └── 2026-05-15/     # 每日一个子目录，内含 .html (主) / .json (缓存) / -articles.json (缓存)
│                       #   .md 默认不生成，可在 .env.local 设 OUTPUT_MARKDOWN=true 开启
├── logs/               # 运行日志 (gitignored)
├── .github/workflows/  # GitHub Actions 工作流（A 方式部署）
└── .claude/
    ├── skills/         # Claude Code 操作 skill
    └── commands/       # slash commands

🗑️ 卸载

node scripts/uninstall.mjs
# 移除：定时任务 (Task Scheduler / launchd / cron) + ~/.claude/ 下的链接 + ~/.daily-brief-config
# 不动：项目文件、daily_reports/、logs/、power plan 设置
# 想彻底清理就 rm -rf 整个项目目录

🛠️ 自定义 / Fork

改源、改时间、改排版、加新栏目 —— 见 FORKING.md。

🙏 致谢

本项目在 LINUX DO 开源社区分享推广，感谢佬友们的反馈与建议。

📝 License

MIT

📰 daily-brief · your own AI-curated daily news brief in 10 minutes

↑ 中文 · English

Your own AI-curated daily news brief, on infrastructure you control. 23 sources · LLM summaries · 21-ticker market panel with SMA/RSI/MACD signals + AI commentary · bilingual (zh/en) · 5 swappable LLM backends.

Three deployment paths, pick one: 🚀 5-min GitHub Actions fork · 💻 local one-liner install · 🤖 have an AI agent install it for you.

🌐 Live demos — 📰 leiting-eric.github.io/DailyBrief (path A · GitHub Actions + Pages) · 📰 daily.leiting.tech (path B · self-hosted server)

✨ Core features

🌍 Multi-source aggregation — 23 sources spanning Silicon Valley tech, AI frontier, global finance, international politics, and developer communities. One report covers it all.
📈 21 live tickers — US stocks / crypto / HK / commodities / macro signals, with SMA / RSI / MACD indicators + daily LLM-written trading commentary
🤖 5 swappable LLM backends — Claude CLI / Anthropic / OpenAI / DeepSeek / MiniMax. One env var to switch, no vendor lock-in.
🌐 Bilingual (zh/en) — set REPORT_LOCALE=en to flip the entire stack: sources, prompts, UI text, Bullish/Bearish stance labels — all switch.
🚀 Flexible deployment — GitHub Actions (zero infra) / local OS scheduler / self-hosted server — pick one or run them in parallel
🆓 Zero data-source API keys — every source uses free public endpoints (RSS / public JSON), no paid subscriptions
🔒 No third-party reader lock-in — Feedly / Inoreader / Pocket all profile your reading; this project never talks to them. Your reading habits stay yours.
📁 Single-file HTML output — CSS and JS inlined, no external dependencies, scp'able onto a server as index.html

📚 Source roster

23 sources in zh mode / 22 in en mode, organized as:

🧑‍💻 Tech

GitHub Trending · refreshed daily
AI media (merged): OpenAI / DeepMind / Hugging Face Blog / TLDR AI / Smol AI / Latent Space / MIT Tech Review
X posts (attentionvc-ai): curated AI thought-leader feed

📈 Markets (21 tickers, not news)

US stocks / ETFs: SPY / QQQ / AAPL / MSFT / NVDA / GOOGL / TSLA / META
Crypto: BTC / ETH / SOL (+ alt.me Fear & Greed index + CoinGecko macro)
China / HK: BABA / PDD / JD / 0700.HK
Commodities / FX: GC=F (gold) / CL=F (WTI crude) / USDCNY=X
Macro signals: ^VIX / ^TNX (10Y Treasury) / DXY

🌍 World

BBC / Guardian / NYT / NPR / DW Chinese / Al Jazeera / The Diplomat — 7 major international outlets' World feeds

💰 Finance

Bloomberg / WSJ / FT / BBC Business / Economist — 5 global finance heavyweights

💬 Community

zh mode: V2EX top threads / LinuxDo trending
en mode: Hacker News / Reddit r/stocks (auto-substituted)

Full list + enabled status: run npm run sources. To edit sources, modify sources.config.json.

🚀 Pick one deployment path

Path	Who it's for	What you need	Setup time
A. GitHub Actions + Pages	No server, don't want to keep a laptop running	One API key (Anthropic / OpenAI / DeepSeek / MiniMax)	~5 min (recommended)
B. Local one-liner	Have an always-on machine; want it cheapest	Node 20+, optionally Claude Code login	~3 min
C. Have an AI agent install it	Lazy; want Cursor / Codex / Claude Code to handle setup	Same as B	One sentence

A. GitHub Actions + Pages (zero-infra, recommended)

Fork this repo (Fork button, top-right of GitHub)
Settings → Actions → General → Workflow permissions → set to Read and write permissions
Settings → Pages → Build and deployment → Source → "Deploy from a branch" → branch gh-pages / path / (root) (the gh-pages branch only exists after the first successful workflow run — configure secrets first, trigger once, then come back)

🔑 Configure the LLM backend — this is the critical step. Each backend needs a secret AND the matching LLM_BACKEND variable (not just the secret). Pick one row:

You want	Secret to add	`LLM_BACKEND` variable	Rough cost
🟣 Anthropic Sonnet (default; prompts tuned for it)	`ANTHROPIC_API_KEY`	leave unset or `anthropic`	~$0.03-0.05/day, <$2/month
🐋 DeepSeek (cheap, China-friendly)	`DEEPSEEK_API_KEY`	`deepseek`	~$0.01-0.02/day, <$1/month
🟢 OpenAI	`OPENAI_API_KEY`	`openai`	gpt-4o-mini ~$0.02/day
🔵 MiniMax	`MINIMAX_API_KEY`	`minimax`	Similar to DeepSeek
🌀 Proxy / aggregator / any OpenAI-compatible service (Moonshot, SiliconFlow, OpenRouter, self-hosted Claude relay, local Ollama / LM Studio, ...)	`LLM_API_KEY`	`openai` (use `anthropic` only if the proxy speaks Anthropic protocol — rare)	Depends on provider

Location: Settings → Secrets and variables → Actions. The page has two tabs — Secrets for keys, Variables for LLM_BACKEND.

🌀 Extras if you picked the last "proxy" row: also add LLM_BASE_URL (the endpoint your proxy gave you, e.g. https://api.moonshot.cn/v1) and LLM_MODEL (e.g. moonshot-v1-8k) under Variables. Not sure which protocol? Default LLM_BACKEND=openai — covers 95% of proxies; switch to anthropic only if you get 404s or protocol errors.

(Optional) On the same Variables tab, add:
- LLM_MODEL — override the backend's default model (otherwise uses the default listed in .env.example)
- LLM_BASE_URL — custom endpoint. Required if you picked the "proxy" row above. For local Ollama use http://localhost:11434/v1, LM Studio http://localhost:1234/v1
- REPORT_LOCALE — zh (default) or en — switches sources + UI + LLM prompts as a set
- REPORT_TZ — IANA timezone name (default UTC); e.g. Asia/Shanghai / America/Los_Angeles. Drives both the trigger time and the date label.
- REPORT_HOUR — hour(s) to fire in REPORT_TZ, default 8 (08:00). Comma-separated for multiple, e.g. 8,18 = 8 AM and 6 PM
- REPORT_DAYS — day-of-week filter (cron-style, 0=Sunday ... 6=Saturday), default * (every day). E.g. 1-5 = weekdays; 1,3,5 = Mon/Wed/Fri
Actions tab → "Daily Brief" workflow → Run workflow to trigger manually for the first time

Once the workflow turns green, your report lives at https://<your-username>.github.io/<repo-name>/. After that, it refreshes daily at 08:00 in REPORT_TZ (or 08:00 UTC if REPORT_TZ is unset).

⏰ How the schedule works: GitHub Actions cron is UTC-only, so the workflow runs hourly and uses a gate job to check if the current hour in REPORT_TZ matches REPORT_HOUR / REPORT_DAYS. If so, the build job proceeds; otherwise it exits in seconds. This lets the schedule track any local timezone precisely, and handles DST transitions automatically (via the IANA tz database).

Common schedule recipes:

You want	`REPORT_HOUR`	`REPORT_DAYS`
Every day at 08:00 (default)	unset or `8`	unset or `*`
Twice daily (8 AM + 6 PM)	`8,18`	`*`
Weekdays at 09:00	`9`	`1-5`
Mon/Wed/Fri at 7 AM + 9 PM	`7,21`	`1,3,5`
Every 6 hours	`0,6,12,18`	`*`

If you just want the default (08:00 local daily), set only REPORT_TZ (e.g. Asia/Shanghai) and leave the rest at defaults.

💸 Cost summary: GitHub Actions on public repos is free. Pages on public repos is free. The only thing you pay for is LLM API calls — DeepSeek runs under $1/month, Anthropic Sonnet under $2.

⚠️ GH Actions mode can't reuse a local claude CLI login — your Claude Code OAuth token lives on your machine, GitHub's runners can't see it. If you have a Max subscription, run both paths side by side: path B locally (uses Claude CLI), path A on GitHub Actions (uses DeepSeek). Independent reports, no interference.

🐛 Common gotchas

"Upgrade or make this repository public to enable Pages" — Free-tier GitHub Pages requires a public repo. Settings → General → Danger Zone → Change visibility → Public. Your Actions Secrets remain encrypted and invisible to others even on public repos.
"Variable name can only contain alphanumeric characters" — most likely the underscore in LLM_BACKEND got autocorrected by a CJK input method to a full-width ＿ (U+FF3F). Switch to English input, retype Shift+-, or copy-paste.
Pages source dropdown doesn't show gh-pages — that branch only exists after the first successful workflow run. Order: configure secret → trigger workflow → wait for green → go back to Settings → Pages.
Where to read a failed run — Actions tab → click the red X → left sidebar lists each step → click the failing one to expand its log. Most common causes: 401/402 (API key wrong or out of credit), 403 (workflow permissions still set to "Read only").
Fails after ~30 seconds — usually a secret/variable mismatch (added a secret but didn't add the matching LLM_BACKEND variable) or the LLM API returned 400. Check the "Generate today's report" step.

B. Local one-liner install

# Linux / macOS
curl -sSL https://raw.githubusercontent.com/leiting-eric/DailyBrief/main/bootstrap.mjs | node

# Windows PowerShell
irm https://raw.githubusercontent.com/leiting-eric/DailyBrief/main/bootstrap.mjs | node -

This script will:

Check that Node / git / claude CLI are on PATH (claude CLI missing is a warning, not an error — you can use an API backend instead)
git clone to ~/daily-brief (Windows: %USERPROFILE%\daily-brief)
npm install
Register the OS scheduler (Windows Task Scheduler / macOS launchd / Linux cron, default 16:00 local time)
Write ~/.daily-brief-config recording the project path
Symlink the Claude Code skill + slash commands into ~/.claude/ so they work from any directory
Run npm run dry-run as a smoke test

🎁 Claude Code bonus: after install, any Claude Code session anywhere can use /run-daily and /check-daily. Describing a problem in plain English ("today's report didn't come out") also auto-loads the daily-brief skill. Other agents (Cursor / Codex) don't have a skill auto-load mechanism, but the scheduled task still runs at the OS level. Manual triggers:

Platform	Command
Windows	`Start-ScheduledTask -TaskName DailyBrief`
macOS	`launchctl start com.daily-brief`
Linux	`node scripts/run-daily.mjs` (cron doesn't support manual trigger)

Custom install path / time:

node bootstrap.mjs --target /custom/path --at 07:30

LLM backend: defaults to the local claude CLI (first time you'll need to log in once in a browser: echo "hi" | claude --print --model sonnet — once is forever). If you don't use Claude Code, skip it: copy .env.example to .env.local and set LLM_BACKEND to OpenAI / Anthropic / DeepSeek / MiniMax — see LLM backend configuration.

C. Have an AI agent install it for you

Whichever AI agent you use (Claude Code / Cursor / Codex / Continue.dev / OpenClaw / etc.), send it this prompt:

Please install this open-source project following the README's "local one-liner" path with bootstrap, and tell me when the next auto-trigger will fire: https://github.com/leiting-eric/DailyBrief

The repo includes AGENTS.md (universal agent protocol) and .claude/skills/daily-brief/SKILL.md (Claude Code-specific, more detailed). After install, the agent can help diagnose things like "today's report didn't come out" or "add a new source".

📋 Requirements

Node.js 20+, npm, git (local for paths B/C; path A runs in GitHub's containers — no local install needed)
One working LLM (any of): Claude Code CLI logged in, OR Anthropic / OpenAI / DeepSeek / MiniMax API key
Platform: Windows 10/11, macOS 12+, Linux (any platform — scheduler picks the matching mechanism)

🔧 Manual install

# 1. Clone + dependencies
git clone https://github.com/leiting-eric/DailyBrief.git
cd DailyBrief
npm install

# 2. Pick an LLM backend
#    Default = claude CLI (will guide you through login if not done):
echo "say hi" | claude --print --model sonnet
#    Or use a different backend: cp .env.example .env.local
#    and set LLM_BACKEND + the matching API key

# 3. Register the scheduler + enable the global skill
node scripts/install.mjs --global

# 4. Test trigger immediately
# Windows:  Start-ScheduledTask -TaskName DailyBrief
# macOS:    launchctl start com.daily-brief
# Linux:    node scripts/run-daily.mjs

Sleep-wake behavior at next trigger time:

🪟 Windows — wakes the computer if asleep, runs, returns to sleep
🍎 macOS — launchd doesn't wake from deep sleep; skipped if asleep (configure pmset wake schedule separately if needed)
🐧 Linux — cron doesn't wake either; skipped if suspended

🛠️ Daily commands

Command	Purpose	Time
`npm run daily`	Full pipeline (fetch + LLM + render)	5-8 min
`npm run dry-run`	Fetch only, no LLM — validates sources	~30s
`npm run render [date]`	Re-render HTML after editing CSS/layout	<1s
`npm run regen-trading [date]`	Re-do the trading section only	~2 min
`npm run regen-enrich <cat:sub> [date]`	Fill in missing summaries for a subgroup	~30s
`npm run open`	Open today's report in Chrome	instant
`npm run quota-report`	Per-backend LLM usage summary	instant
`npm run sources`	List all sources with locale / enabled status	instant
`npm run sources:check`	Validate `sources.config.json` schema (good for CI / pre-commit)	instant

📊 Source configuration

Sources live as a JSON array in sources.config.json at the project root — the single source of truth. Add / disable / re-categorize feeds without touching TypeScript. Per-entry fields:

Field	Required	Notes
`id`	✓	Short unique identifier (used by `dispatch.ts` to route to the right fetcher)
`name`	✓	Display name in the UI
`type`	✓	`rss` / `api` / `scrape`
`url`	✓	RSS feed URL or API endpoint
`category`	✓	`tech` / `finance` / `politics` — drives the L1 tab
`subcategory`		L2 grouping (`github-trending` / `ai-news` / `x-viral` / `cn-community` for tech; `news` for finance)
`enabled`		Default `true`; set to `false` to skip without deleting the record
`useCurl`		`true` if the source's host blocks Node's TLS fingerprint (Cloudflare); the fetcher will shell out to curl
`lang`		`zh` means the source is already in Chinese — enrich skips it (no need to translate Chinese into Chinese)
`locales`		Array listing which `REPORT_LOCALE` the source appears in. Default `["zh", "en"]`
`notes`		Free-form (e.g. "removed because feed died"); ignored at runtime

Adding an RSS source

Append an entry to sources.config.json
Run npm run sources:check to validate schema
npm run dry-run to confirm the fetch works
The next npm run daily picks it up automatically

🌐 Locale mode (zh / en)

Switch with the REPORT_LOCALE environment variable:

# .env.local
REPORT_LOCALE=zh    # default — Chinese mode, includes V2EX / LinuxDo / DW Chinese
# REPORT_LOCALE=en  # English mode — drops zh-only sources, picks up en-only ones

Each source's locales field decides which mode it appears in:

["zh"] — zh mode only (V2EX / LinuxDo / DW Chinese). English readers can't read these, so auto-dropped in en mode.
["en"] — en mode only (Hacker News / r/stocks etc., picked up to replace Chinese community sources). Not shown in zh mode.
["zh", "en"] (default) — appears in both modes (BBC / Bloomberg / WSJ / NYT / AI media)

Currently enabled sources by locale:

Locale	Enabled sources	Mix
`zh`	23	20 global / English sources (with LLM-generated Chinese summaries) + 3 Chinese-only (V2EX / LinuxDo / DW Chinese)
`en`	22	20 global / English sources + 2 English community (Hacker News + r/stocks)

The full en-mode switch covers: HTML UI text, the three LLM prompt sets (enrichment / digest / trading commentary), stance labels (Bullish/Bearish/Neutral vs. 偏上行/偏下行/中性), date format (zh-CN ↔ en-GB), Markdown output. Chinese community sources are auto-hidden in en mode since the audience can't read them.

🤖 LLM backend configuration

The project switches backends via the LLM_BACKEND environment variable. Default is claude-cli — it reuses your existing Claude Code login, no API key needed. To use your own API key with another provider, set up .env.local:

Copy .env.example to .env.local (gitignored), uncomment the section for your chosen backend:

backend	API key env var	Default model	Base URL
🎯 `claude-cli` (default)	None — reuses Claude Code OAuth	`sonnet`	—
🟣 `anthropic`	`ANTHROPIC_API_KEY`	`claude-sonnet-4-6`	`api.anthropic.com`
🟢 `openai`	`OPENAI_API_KEY`	`gpt-4o-mini`	`api.openai.com/v1`
🐋 `deepseek`	`DEEPSEEK_API_KEY`	`deepseek-v4-flash`	`api.deepseek.com/v1`
🔵 `minimax`	`MINIMAX_API_KEY`	`MiniMax-M2.7`	`api.minimax.io/v1` ¹

¹ Inside mainland China, set MINIMAX_BASE_URL=https://api.minimaxi.com/v1.

Universal overrides:

LLM_MODEL=<id> — works for any backend (e.g. LLM_MODEL=gpt-4o to use OpenAI's bigger model)
<BACKEND>_BASE_URL — for self-hosted proxies or OpenAI-compatible services (e.g. LM Studio / Ollama → LLM_BACKEND=openai + OPENAI_BASE_URL=http://localhost:1234/v1)
LLM_API_KEY / LLM_BASE_URL — generic aliases, used as fallback when the provider-specific vars aren't set. Use this pair for Moonshot / SiliconFlow / OpenRouter / self-hosted proxies — anything not in the preset list — so you don't have to misuse OPENAI_API_KEY just to reach a non-OpenAI service. Example for Moonshot: LLM_BACKEND=openai + LLM_API_KEY=sk-... + LLM_BASE_URL=https://api.moonshot.cn/v1 + LLM_MODEL=moonshot-v1-8k

How to pick

Your situation	Recommended backend
Already using Claude Code (any subscription tier)	`claude-cli` — zero config, billed against your subscription
Not on Claude Code, want it cheapest	`openai` with `gpt-4o-mini`, or `deepseek` (cheaper still)
Chinese summary quality matters most	`anthropic` with `claude-sonnet-4-6`
Need to bypass China's network restrictions	`deepseek` or `minimax` (both are domestic providers)

Switching backends needs no code changes: all prompts are factored out in lib/ai/prompts.ts independently of any backend; JSON repair fallback (jsonrepair) is backend-agnostic. After switching, run npm run daily once and look at logs/llm-calls.jsonl for the new backend's call log.

🌐 Self-hosted deployment (optional)

After each npm run daily, automatically scp the fresh HTML to your own server; visitors hit https://your-domain/ and see today's report. Disabled by default — leave the env vars unset to skip.

One-time server setup

Assumes Ubuntu + nginx, domain configured, login user has sudo NOPASSWD:

# On the server
sudo mkdir -p /var/www/your-domain && sudo chown -R www-data:www-data /var/www/your-domain

/etc/nginx/sites-available/your-domain.conf:

server {
    listen 80;
    server_name your-domain;
    root /var/www/your-domain;
    index index.html;
    location / { try_files $uri $uri/ =404; }
}

Enable + auto-issue SSL:

sudo ln -s /etc/nginx/sites-available/your-domain.conf /etc/nginx/sites-enabled/
sudo nginx -t && sudo systemctl reload nginx
sudo certbot --nginx -d your-domain --agree-tos --redirect

Enable auto-deploy locally

In .env.local (gitignored), add:

DEPLOY_HOST=user@your-server-ip
DEPLOY_PATH=/var/www/your-domain

Then:

✅ Every npm run daily auto-scp's the new HTML to the server and refreshes index.html
✅ npm run deploy [YYYY-MM-DD] to push any specific date manually
✅ A deploy failure doesn't break the daily run itself (HTML is already on disk in daily_reports/; npm run deploy retries it)

💡 Claude Code integration

After install, any directory (no need to cd into the project) running Claude Code can use:

Trigger	Behavior
`/run-daily`	Triggers daily immediately, monitors in the background until done. Works from any directory.
`/check-daily`	Checks task state + report files + quota
Describing a problem ("today's report didn't come out", "why didn't X posts update")	Auto-loads the `daily-brief` skill so Claude understands the project context

How it works: scripts/install.mjs --global symlinks files in ~/.claude/ pointing at the project's .claude/skills/daily-brief/SKILL.md and .claude/commands/ — single source, editing the project files is editing the user-level skill. If symlinks aren't permitted (Windows without Developer Mode), it falls back to copying. ~/.daily-brief-config records the absolute project path so slash commands find it from any CWD.

📁 Project structure

daily-brief/
├── lib/
│   ├── sources/        # RSS / API / curl fetchers; add new sources here
│   ├── ai/             # Pluggable LLM backends + prompts (lib/ai/backends/ per backend)
│   ├── trading/        # Yahoo Finance + technical indicators
│   ├── output/         # Rendering (HTML / Markdown)
│   └── utils.ts        # Tiny shared helpers (todayKey / getReportTz)
├── scripts/
│   ├── _env.ts         # dotenv preload — imported FIRST by every entry script
│   ├── daily.ts        # Main pipeline
│   ├── dry-run.ts      # Fetch-only validation (no LLM)
│   ├── render.ts       # Re-render from cached data
│   ├── regen-*.ts      # Targeted re-runs (trading / enrich)
│   ├── quota-report.ts # LLM usage stats
│   ├── sources.ts      # `npm run sources` — list + validate sources.config.json
│   ├── run-daily.mjs   # OS scheduler wrapper (daily + log + deploy + open)
│   ├── open-report.mjs # Cross-platform "open latest" helper
│   ├── build-site.mjs  # GH Pages static-site generator (index + archive)
│   ├── deploy.mjs      # scp HTML to a remote nginx host (opt-in)
│   ├── install.mjs     # Cross-platform scheduler registration
│   └── uninstall.mjs   # Removal
├── sources.config.json # Single source of truth for the source registry
├── daily_reports/      # Output (gitignored)
│   └── 2026-05-15/     # One subdir per day, contains .html (main) / .json (cache) / -articles.json (cache)
│                       #   .md not generated by default; set OUTPUT_MARKDOWN=true in .env.local to enable
├── logs/               # Run logs (gitignored)
├── .github/workflows/  # GitHub Actions workflow (path A deployment)
└── .claude/
    ├── skills/         # Claude Code operational skill
    └── commands/       # Slash commands

🗑️ Uninstall

node scripts/uninstall.mjs
# Removes: scheduled task (Task Scheduler / launchd / cron) + ~/.claude/ symlinks + ~/.daily-brief-config
# Leaves alone: project files, daily_reports/, logs/, power plan settings
# For a full cleanup: rm -rf the project directory

🛠️ Customize / Fork

Change sources, schedule, layout, add new panels — see FORKING.md.

🙏 Acknowledgments

This project is shared on the LINUX DO open-source community. Thanks to the community members for feedback and suggestions.

📝 License

MIT

Name		Name	Last commit message	Last commit date
.claude		.claude
.github/workflows		.github/workflows
docs/screenshots		docs/screenshots
lib		lib
scripts		scripts
.env.example		.env.example
.gitignore		.gitignore
AGENTS.md		AGENTS.md
CLAUDE.md		CLAUDE.md
FORKING.md		FORKING.md
LICENSE		LICENSE
README.md		README.md
bootstrap.mjs		bootstrap.mjs
package-lock.json		package-lock.json
package.json		package.json
sources.config.json		sources.config.json
tsconfig.json		tsconfig.json

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📰 daily-brief · 10 分钟拥有你自己的 AI 每日简报

✨ 核心特性

📚 信源图谱

🧑‍💻 技术动态

📈 市场行情（非新闻源，21 个标的）

🌍 时政观察

💰 财经要点

💬 社区讨论

🚀 三种部署方式选一种

A. GitHub Actions + Pages（零基础设施，推荐）

🐛 A 方式常见坑

B. 本地一键装

C. 给 AI Agent 一句话装

📋 前置要求

🔧 手动安装

🛠️ 日常命令

📊 数据源配置

加一个 RSS 源

🌐 Locale 模式（zh / en）

🤖 LLM 后端配置

怎么选

🌐 自托管部署（可选）

一次性服务器准备

本地启用 auto-deploy

💡 Claude Code 集成

📁 项目结构

🗑️ 卸载

🛠️ 自定义 / Fork

🙏 致谢

📝 License

📰 daily-brief · your own AI-curated daily news brief in 10 minutes

✨ Core features

📚 Source roster

🧑‍💻 Tech

📈 Markets (21 tickers, not news)

🌍 World

💰 Finance

💬 Community

🚀 Pick one deployment path

A. GitHub Actions + Pages (zero-infra, recommended)

🐛 Common gotchas

B. Local one-liner install

C. Have an AI agent install it for you

📋 Requirements

🔧 Manual install

🛠️ Daily commands

📊 Source configuration

Adding an RSS source

🌐 Locale mode (zh / en)

🤖 LLM backend configuration

How to pick

🌐 Self-hosted deployment (optional)

One-time server setup

Enable auto-deploy locally

💡 Claude Code integration

📁 Project structure

🗑️ Uninstall

🛠️ Customize / Fork

🙏 Acknowledgments

📝 License

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