Sn search finance
Skill OpenSenseNova/SenseNova-Skills/skills/sn-search-finance
用于搜索金融市场、证券、上市公司基本面、价格、K 线、披露文件、财经新闻、A 股数据、港股或全球 ticker，可使用 yfinance、mootdx、API 脚本或 browser-use。From its SKILL.md
npx -y skills add OpenSenseNova/SenseNova-Skills --skill sn-search-financeAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
5.0 KB, ~1.6k tokens by cl100k_base, as published. Nobody here has run it
金融财经搜索
凭证配置
API key、token 与 cookie 统一建议写在仓库根目录 .env（参考 .env.example），并由 runtime 或用户在执行前加载为同名环境变量。脚本仍只从环境变量或显式 CLI 参数读取凭证；不要把真实密钥写入 skill payload、报告、日志或提交。
用于证券、指数、基金、财务报表、行情、K 线、公告线索、财经新闻和公司基本面的检索。API 脚本和 browser-use 可以混合使用；按任务需要选择，不设固定优先级。
工作流
- 先确认市场和标的：A 股/港股/美股/全球 ticker、公司名、证券代码、时间区间、需要的数据口径。
- 结构化数据用
scripts/finance_search.py：yfinance 查全球 ticker、行情、财务、新闻、SEC filings；mootdx 查通达信/A 股行情、K 线、财务包。 - 需要页面证据、新闻正文、交互筛选、图表核对、脚本失败或字段缺失时，用 browser-use 打开 Yahoo Finance、交易所、上市公司 IR、公告页或搜索结果页交叉核对。
- 输出结论时保留 ticker/证券代码、市场、数据区间、指标口径和来源 URL；不要把脚本结果当作投资建议。
- 遇到登录墙、验证码、付费墙、商业授权、异常限流或禁止用途提示时停止该来源，改用可公开访问的页面或说明无法取得。
API 脚本
脚本：scripts/finance_search.py。输出 JSON。依赖按命令懒加载。
首次运行或脚本提示缺库时，使用本技能的依赖清单安装到当前 Python 环境：
python3 -m pip install -r requirements.txt
不要在脚本内部自动安装依赖。若安装失败、网络不可用或包不可用，停止使用对应命令并改用公开网页来源，说明缺少依赖。
yfinance
Yahoo Finance 代码后缀：美股直接用 AAPL；港股可用 0700.HK；A 股可用 600036.SH、600036.SS、000001.SZ，脚本会把 .SH 自动转成 .SS。不想自动转换时加 --no-normalize。
python scripts/finance_search.py yf-search "Tesla" --limit 5 --news-count 5
python scripts/finance_search.py yf-lookup "Tencent" --type stock --limit 10
python scripts/finance_search.py yf-profile AAPL --fields longName,sector,industry,marketCap,currentPrice,trailingPE
python scripts/finance_search.py yf-history AAPL --period 6mo --interval 1d --limit 120
python scripts/finance_search.py yf-download AAPL MSFT NVDA --period 1mo --interval 1d --group-by ticker
python scripts/finance_search.py yf-financials MSFT --statement income --freq yearly
python scripts/finance_search.py yf-financials MSFT --statement balance --freq quarterly
python scripts/finance_search.py yf-news TSLA --limit 8
python scripts/finance_search.py yf-sec-filings AAPL
常用命令：
| 命令 | 用途 |
|---|---|
yf-search | 搜公司、ticker、新闻和研究入口 |
yf-lookup | 按金融工具类型查找股票、ETF、指数、基金、期货、外汇、加密资产 |
yf-profile | 基本面画像和 fast_info |
yf-history / yf-download | 单标的或多标的历史行情 |
yf-financials | 利润表、资产负债表、现金流、盈利数据 |
yf-news | ticker 相关新闻线索 |
yf-sec-filings | SEC filings 线索 |
mootdx
mootdx 使用通达信代码格式，通常是纯数字。脚本会把 600036.SH、600036.SS、000001.SZ 转成 600036、000001。
python scripts/finance_search.py tdx-quotes 600036 000001
python scripts/finance_search.py tdx-bars 600036 --frequency day --offset 120 --adjust qfq
python scripts/finance_search.py tdx-index 000001 --market sh --frequency day --offset 60
python scripts/finance_search.py tdx-stocks --market sh --limit 50
python scripts/finance_search.py tdx-finance 600036
python scripts/finance_search.py tdx-xdxr 600036
python scripts/finance_search.py tdx-affair-files --limit 10
python scripts/finance_search.py tdx-affair-fetch gpcw20231231.zip --downdir tmp
python scripts/finance_search.py tdx-affair-parse gpcw20231231.zip --downdir tmp --limit 100
K 线 --frequency 可用：1m、5m、15m、30m、1h、day、week、mon、3mon、year，也可直接传 mootdx 数字频率。
browser-use 场景
| 场景 | 用法 |
|---|---|
| 脚本返回新闻线索 | 打开新闻 URL 或 Yahoo Finance 新闻页核对标题、发布时间、正文要点 |
| 财务字段不全 | 打开 Yahoo Finance Financials、SEC、交易所公告、公司 IR 页面补证 |
| A 股公告/定期报告 | 配合 sn-search-year-report 或 search-market 技能查官方披露源 |
| 图表、复权、行情异常 | 打开行情页或交易所页面核对口径 |
| 公司名无法映射 ticker | 用 yf-search、yf-lookup 和网页搜索互相验证 |
What ships with it: 2 files
23.9 KB alongside SKILL.md, 1 of them executable
scripts/
- finance_search.pyruns23.9 KB
- requirements.txt21 B
Gives 0 of the 12 instructions most finance skills give in ~1.6k tokens
Counted across 469 of the 469 authors here whose files we hold, read 2026-08-07
- Extract date vendor amount and descriptionin 15 of 469, across 3 files
- Scan folder for invoice filesin 14 of 469, across 2 files
- Rename files to standard formatin 14 of 469, across 2 files
- Show organization plan before movingin 14 of 469, across 2 files
- Generate summary CSVin 14 of 469, across 2 files
- Organize files by categoryin 13 of 469, across 1 file
- Preserve original filesin 13 of 469, across 1 file
- Flag files missing critical infoin 13 of 469, across 1 file
- Produce the requested output filein 9 of 469, across 4 files
- Build best, base, and worst case scenariosin 9 of 469, across 5 files
- Implement backoff if rate limit errors occurin 8 of 469, across 3 files
- Determine the weighted average cost of capitalin 8 of 469, across 4 files
Said here and by no other author read
- load credentials from environment variables or CLI parameters
- confirm market, ticker, time range, and data scope first
- use API script for structured data retrieval
- use browser-use to cross-check missing or failed script outputs
- keep ticker, market, time range, metric scope, and source URL in output
- run pip install requirements on first run or missing library
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.