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Investment scanner

Skill Mason-1011/Mason_Skills/skills/investment-scanner

定时投资信号扫描与日报推送。从 Google News RSS(6源)+ blogwatcher RSS(9源)抓取全球金融投资新闻,经噪音过滤、实体提取、两阶段聚簇去重后,由 LLM 格式化为中文投资信号日报。当用户提到投资扫描、金融日报、投资信号、市场资讯、投资新闻汇总时触发此 skill。From its SKILL.md

Install
npx -y skills add Mason-1011/Mason_Skills --skill investment-scanner

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

3 things to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 8 commands, including `cp -r investment-scanner ~/.hermes/skills/finance/investment-scanner` and 7 more.
  • fetches URLsInstructs the agent to fetch 8 URLs, including https://www.ft.com/rss/home and 7 more.

SKILL.md

4.8 KB, ~1.5k tokens by cl100k_base, as published. Nobody here has run it

Investment Scanner

确定性金融投资信号扫描工作流。双数据源(Google News RSS + blogwatcher RSS)+ 聚簇引擎 + LLM 格式化输出。

架构

Google News RSS (6源: Funding/M&A/IPO/AI Tech/Energy/Biotech)
        ↓
    过滤 + 行业分类
        ↓
    ┌─── 聚簇引擎(实体提取 + Jaccard token 相似度)───┐
    │                                                   │
blogwatcher RSS (9源: FT/WSJ/Bloomberg/TC/BI 等)  ←──┘
        ↓
    LLM 格式化 → 中文投资信号日报

安装步骤

1. 复制 skill 到 Hermes skills 目录

# Mac
cp -r investment-scanner ~/.hermes/skills/finance/investment-scanner

# Windows
cp -r investment-scanner ~/AppData/Local/hermes/skills/finance/investment-scanner

2. 安装 Python 依赖

pip install feedparser requests

3. 安装 blogwatcher-cli(完整双源必需)

blogwatcher 提供 9 个高质量金融 RSS 源(FT、WSJ、Bloomberg 等),未安装时脚本只走 Google News 6 源。

# Mac
brew install blogwatcher-cli
# 或
go install github.com/nicobk/blogwatcher-cli@latest

# Windows (winget)
winget install blogwatcher-cli
# 或下载 release: https://github.com/nicobk/blogwatcher-cli/releases

安装后验证:

blogwatcher-cli --version

4. 配置 blogwatcher 源

脚本会自动使用 ~/.config/hermes/skills/blogwatcher/ 下的配置。如果你是全新安装,需要先添加金融 RSS 源:

blogwatcher-cli add --url "https://www.ft.com/rss/home" --name "FT"
blogwatcher-cli add --url "https://feeds.a.dj.com/rss/RSSMarketsMain.xml" --name "WSJ"
blogwatcher-cli add --url "https://www.bloomberg.com/feed/podcast/etf-report.xml" --name "Bloomberg"
blogwatcher-cli add --url "https://techcrunch.com/feed/" --name "TechCrunch"
blogwatcher-cli add --url "https://www.businessinsider.com/feed" --name "BusinessInsider"
blogwatcher-cli add --url "https://search.cnbc.com/rs/search/combinedcms/view.xml?partnerId=wrss01&id=10001147" --name "CNBC"
blogwatcher-cli add --url "https://finance.yahoo.com/news/rssindex" --name "YahooFinance"
blogwatcher-cli add --url "https://www.theinformation.com/feed" --name "TheInformation"
blogwatcher-cli add --url "https://www.ft.com/alphaville?format=rss" --name "FTAlphaville"

5. 代理配置(blogwatcher 需要)

blogwatcher 的 Go HTTP 客户端默认不跟随 RSS 重定向,需要配合代理使用:

export HTTP_PROXY=http://127.0.0.1:7897
export HTTPS_PROXY=http://127.0.0.1:7897

首次运行时加上 --unsafe-client 标志:

blogwatcher-cli --unsafe-client scan

使用方式

手动运行

cd ~/.hermes/skills/finance/investment-scanner/scripts
python investment_scanner.py

输出 JSON 到 stdout,日志到 stderr。

历史模式(回溯 N 个月)

python investment_scanner.py --historical 3

需要 mimo_search.py 在同目录下。

定时任务

通过 Hermes cron 设置:

schedule: "25 9 * * 1,3,5"  # 每周一三五 9:25
script: investment_scanner.py

输出格式

{
  "scan_time": "ISO时间",
  "cutoff": "起始时间",
  "total_fetched": 总抓取数,
  "total_matched": 过滤后数,
  "signals": [
    {
      "title": "标题",
      "sector": "行业分类",
      "amount": "金额(如有)",
      "source": "来源",
      "link": "链接",
      "cluster_size": 聚簇大小,
      "cluster_sources": ["来源1", "来源2"]
    }
  ]
}

行业分类

AI/半导体、新能源、医药生物、军工国防、金融科技、矿业资源、消费科技、其他

LLM 格式化 Prompt

运行脚本后,将 JSON 输出交给 LLM,按以下要求格式化:

  1. 按行业分类列出最重要的 5-10 条信号
  2. 有金额的优先展示
  3. 每条一行,格式:🔴/🟡/🟢 + 行业 + 标题 + 金额(如有)+ 来源
  4. 红色=重大(>$1B 或行业巨头),黄色=中等,绿色=一般
  5. 多源合并的事件标注「多源确认」
  6. 最后附一句市场情绪总结

注意事项

  • Reuters RSS 已关闭(404),暂无替代
  • blogwatcher Go 客户端默认不跟随重定向,需 --unsafe-client + 代理
  • 聚簇引擎使用 Union-Find 算法,阈值:entity_sim ≥ 0.50,token_sim ≥ 0.30
  • Windows 上 blogwatcher 路径:~/.local/bin/blogwatcher-cli.exe
  • Mac 上 blogwatcher 路径:/usr/local/bin/blogwatcher-cli

What ships with it: 1 file

22.8 KB alongside SKILL.md, 1 of them executable

scripts/

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.