Agent skill

stock-announcements

获取A股上市公司公告信息(真实数据)。基于AkShare从东方财富网获取当日全部公告,支持按股票代码筛选、关键词过滤。 适用于监控重大事件、业绩快报、股东变动、重组公告等投资决策关键信息。数据源:东方财富网(稳定可靠)。

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Forks 748

Install this agent skill to your Project

npx add-skill https://github.com/netease-youdao/LobsterAI/tree/main/SKILLs/stock-announcements

SKILL.md

Stock Announcement Fetcher

获取A股上市公司的官方公告信息(真实数据),帮助投资者及时掌握重要信息披露。

真实数据保证

  • 数据来源: 东方财富网(通过AkShare开源库)
  • 更新频率: 实时(当日公告)
  • 覆盖范围: 全部A股上市公司
  • 数据质量: 官方权威数据

Dependencies

Python packages (install once):

bash
pip install akshare pandas requests PyPDF2

When to Use This Skill

触发条件(用户提及以下任一场景时激活):

  1. 查询特定公司公告 — "查看五粮液最近的公告"、"002368有什么新公告?"
  2. 监控特定事件 — "哪些公司今天发布了业绩预告?"
  3. 投资决策辅助 — "公司有利好消息吗?"

Usage

IMPORTANT: Always use the $SKILLS_ROOT environment variable to locate scripts.

基础查询

bash
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-announcements/scripts/announcements.py" 000858

查询最近7天

bash
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-announcements/scripts/announcements.py" 600519 --days 7

关键词筛选

bash
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-announcements/scripts/announcements.py" 600519 --keyword 业绩

JSON格式输出

bash
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-announcements/scripts/announcements.py" 000858 --format json

提取PDF内容并总结

bash
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-announcements/scripts/announcements.py" 000858 --detail

Parameters

参数 说明 示例 默认值
stock_code 股票代码(必填) 000001, 600000.SS -
--days 最近N天 7 30
--format 输出格式 json/text text
--keyword 标题关键词筛选 业绩 None
--detail 提取PDF内容并总结 false

Workflow

Step 1: 识别股票代码

用户可能提供以下任一格式:

  • 公司名称:"五粮液" → 先用 web-search 查询股票代码
  • Yahoo Finance格式:"000858.SZ" → 提取纯数字代码
  • 纯代码:"000858" → 直接传递

Step 2: 执行查询

bash
export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-announcements/scripts/announcements.py" <股票代码> [参数]

Step 3: 解读结果

Agent 应该:

  1. 提取关键信息(标题、类型、日期)
  2. 分类汇总(业绩类、股东类、重大合同等)
  3. 标注重要性(🔴高/🟡中/⚪低)
  4. 提供简洁解读

Limitations

  1. 只能查询当日公告 — AkShare 的 stock_notice_report 接口只返回指定日期的全部公告
  2. 查询速度约7-10秒 — 需遍历1000+条公告
  3. 中文显示乱码 — Windows PowerShell GBK编码问题,使用 --format json 可规避

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