According to AlphaMoat, as of 2026-09, Stock Monitor Skill has 1,402 downloads and 0 stars — ranked #4,829 of 5,078 AI skills overall, and #927 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 36 | 1.3K | - | - |
| SkillHub ↗ | 128 | 1.4K | - | — |
Platforms count differently and update at different times.
The skill checks A-share, Hong Kong, or U.S. stock prices and sends Feishu voice notifications when custom thresholds are reached; it can skip non-trading periods. Alerts depend on external market-data endpoints and simple threshold logic, so they may be delayed, missing, or based on unavailable data. Treat them as prompts for review, not financial advice. Run scheduled checks under a low-privilege account and protect Feishu and notifier credentials.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 1.4K | — | - |
| 2026-08 | 1.3K | +6.1% | - |
| 2026-07 | 1.2K | +19.2% | - |
| 2026-06 | 994 | +13.6% | - |
| 2026-05 | 875 | — | - |
| 2026-03 | 454 | — | - |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: stock-monitor-skill description: "自动监控股票价格,突破阈值时自动发送飞书语音提醒。支持多只股票、自定义阈值、交易时间判断。" --- # Stock Monitor Skill - 股票自动监控技能 自动监控股票价格,突破阈值时自动发送语音提醒! ## 🎯 功能特点
- ✅ **实时监控**:支持 A 股/港股/美股 - ✅ **语音提醒**:突破阈值自动发飞书语音条 - ✅ **多股票支持**:同时监控多只股票 - ✅ **自定义阈值**:每只股票独立设置涨跌阈值 - ✅ **交易时间判断**:自动跳过非交易时间 - ✅ **智能防打扰**:午休时间不提醒 ## 📋 使用场景 - 📈 短线交易:监控关键价位突破 - 💼 上班族:没空看盘,自动提醒 - 🎯 止盈止损:到达目标价自动通知 - 🔔 异动提醒:大涨大跌不错过 ## 🔧 前置要求 ### 1. Feishu 应用配置 同 Feishu Voice Skill ### 2. 股票数据源 使用新浪财经免费 API(无需 key) ### 3. 系统依赖 ```bash # 安装 jq(JSON 处理) yum install -y jq # CentOS/OpenCloudOS apt-get install -y jq # Ubuntu/Debian ``` ## 🚀 快速开始 ### 步骤 1:配置环境变量 ```bash export FEISHU_APP_ID="cli_xxx" export FEISHU_APP_SECRET="xxx" export FEISHU_CHAT_ID="oc_xxx" export NOIZ_API_KEY="xxx" ``` ### 步骤 2:添加监控股票 编辑 `stocks.conf`: ```bash # 格式:股票代码,股票名称,涨阈值%,跌阈值% sh600519,贵州茅台,3,3 sz000858,五粮液,4,4 sh601318,中国平安,5,5 ``` ### 步骤 3:运行监控 ```bash # 手动运行一次 bash scripts/monitor.sh # 加入定时任务(每 5 分钟检查一次) crontab -e */5 9-11,13-15 * * 1-5 bash /path/to/monitor.sh # 交易日交易时间 ``` ## 📖 命令参数 ```bash bash scripts/monitor.sh [选项] 选项: -c, --config <file> 配置文件路径(默认:stocks.conf) -o, --once 只运行一次,不监控 -v, --verbose 详细输出 -h, --help 显示帮助 ``` ## 💡 使用示例 ### 1. 监控贵州茅台 ```bash # 添加股票 echo "sh600519,贵州茅台,3,3" >> stocks.conf # 运行监控 bash scripts/monitor.sh ``` ### 2. 设置止盈止损 ```bash # 涨 5% 止盈提醒,跌 3% 止损提醒 echo "sz000858,五粮液,5,3" >> stocks.conf ``` ### 3. 多股票监控 ```bash # 批量添加 cat >> stocks.conf << EOF sh600519,贵州茅台,3,3 sz000858,五粮液,4,4 sh601318,中国平安,5,5 sz002415,海康威视,4,4 EOF bash scripts/monitor.sh ``` ## 📊 提醒内容 当股票突破阈值时,司幼会发送语音: > "主人~ 贵州茅台现价 1850 元,涨了 3.2%,突破您设置的 3% 阈值啦!要不要看看?" ## ⚙️ 高级配置 ### 1. 自定义监控时间 编辑 `config.sh`: ```bash # 监控时间段(24 小时制) START_HOUR=9 END_HOUR=15 # 午休时间不监控 LUNCH_START=11:30 LUNCH_END=13:00 # 周末不监控 WEEKEND_SKIP=true ``` ### 2. 自定义提醒方式 ```bash # 语音 + 文字 NOTIFY_TYPE="both" # 只发文字 NOTIFY_TYPE="text" # 只发语音 NOTIFY_TYPE="voice" ``` ### 3. 价格缓存 避免频繁请求 API: ```bash # 缓存时间(秒) CACHE_TTL=60 ``` ## 🐛 故障排除 ### 问题 1:获取不到股价 **解决**:检查网络连接,新浪财经 API 可能需要代理 ### 问题 2:重复提醒 **解决**:检查缓存配置,避免同一阈值反复触发 ### 问题 3:非交易时间也提醒 **解决**:检查交易时间判断逻辑 ## 📦 文件结构 ``` stock-monitor-skill/ ├── SKILL.md ├── README.md ├── reference.md ├── scripts/ │ ├── monitor.sh # 主监控脚本 │ ├── get_price.sh # 获取股价 │ ├── notify.sh # 发送提醒 │ └── config.sh # 配置文件 ├── examples/ │ ├── stocks.conf # 股票配置示例 │ └── crontab.txt # 定时任务示例 └── stocks.conf # 用户配置 ``` ## 💰 商业授权 - **个人使用**:免费 - **商业使用**:请联系作者获取授权 --- **Made with ❤️ by 司幼 (SiYou)**
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.