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openstockdata/stock-data-skill384 installs

stock-data

股票/加密货币数据分析。分析A股/港股/美股行情、技术指标、财务数据、资金流向、筹码分布,加密货币K线和多空比,市场全景,板块轮动,持仓组合评估。

How do I install this agent skill?

npx skills add https://github.com/openstockdata/stock-data-skill --skill stock-data
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The stock-data skill is a comprehensive financial analysis tool that fetches stock and cryptocurrency data from well-known APIs and generates local reports. No security issues or malicious patterns were identified during the analysis.

  • Socketpass

    No alerts

  • Snykwarn

    Risk: MEDIUM · 1 issue

  • Runlayerwarn

    4/18 files flagged

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

工具调用方式

所有数据工具通过 stock-data CLI 直接调用:

stock-data <tool_name> key=value key2=value2

输出为 CSV 格式文本(# 开头为元数据注释行),直接解析即可。可并行调用多个独立命令。

常用示例

stock-data stock_realtime symbol=600519 market=sh
stock-data stock_prices symbol=300058 market=sz limit=60
stock-data search keyword=茅台
stock-data stock_indicators symbol=600519 market=sh
stock-data stock_chip symbol=300058
stock-data stock_fund_flow symbol=300058
stock-data trading_signals symbol=300058 days=60
stock-data okx_prices instId=BTC-USDT bar=1D limit=60
stock-data stock_news_global
stock-data stock_batch_realtime symbols=600519,000858,601318
stock-data --list    # 查看全部可用工具

分析流程

根据用户意图,读取对应参考文档获取详细分析流程:

用户意图参考文档典型触发词
分析单只股票references/stock-analyze.md"分析茅台"、"看看600519"、"AAPL怎么样"
分析加密货币references/crypto-analyze.md"分析BTC"、"比特币走势"、"ETH行情"
市场全景概览references/market-overview.md"市场概览"、"今日大盘"、"A股行情"
持仓组合分析references/portfolio-analyze.md"分析持仓"、"我的股票"、多个股票代码
板块轮动分析references/sector-analyze.md"分析人工智能板块"、"银行板块"
数据源健康检查references/stock-health-check.md"健康检查"、"数据源状态"

市场识别规则

  • 6位纯数字 → A股(0/3开头=sz,6开头=sh)
  • 5位数字 → 港股 (hk)
  • 纯英文字母 → 美股 (us)
  • 加密货币符号(BTC、ETH等) → 自动补全为 BTC-USDT 格式

输出格式约定

  • 工具返回数据:CSV 格式,# 开头行为元数据
  • 分析报告(面向用户):Markdown 格式,含表格、标题、强调

完整工具列表

参见 references/tools.md 获取全部 47 个工具的参数说明。

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/openstockdata/stock-data-skill/stock-data">View stock-data on skillZs</a>