Productivity

fund-assistant

xer97/fund-assistant · updated Apr 8, 2026

$npx skills add https://github.com/xer97/fund-assistant --skill fund-assistant
summary

位置:.fund-assistant/users/{用户名}/portfolio.json(项目本地目录)

skill.md

基金投资助手

脚本命令

基金 API(scripts/fund_api.py)

python scripts/fund_api.py query 001618,000001   # 查询实时估值
python scripts/fund_api.py search 白酒           # 搜索基金
python scripts/fund_api.py detail 001618         # 基金详情
python scripts/fund_api.py history 001618 y      # 历史净值 (y/3y/6y/n/3n/5n)
python scripts/fund_api.py position 001618       # 持仓明细
python scripts/fund_api.py manager 001618        # 基金经理
python scripts/fund_api.py index                 # 大盘指数
python scripts/fund_api.py flow                  # 资金流向
python scripts/fund_api.py north                 # 北向资金

持仓管理(scripts/portfolio.py)

python scripts/portfolio.py init                 # 初始化数据目录
python scripts/portfolio.py list                 # 查看持仓
python scripts/portfolio.py add 001618 1000 1.5  # 添加持仓(代码 份额 成本)
python scripts/portfolio.py update 001618 shares=1500  # 更新持仓
python scripts/portfolio.py remove 001618        # 删除持仓
python scripts/portfolio.py user 老婆            # 切换用户
python scripts/portfolio.py users                # 列出所有用户
python scripts/portfolio.py export portfolio.json  # 导出持仓
python scripts/portfolio.py import portfolio.json  # 导入持仓

数据存储

位置:.fund-assistant/users/{用户名}/portfolio.json(项目本地目录)

{"funds": [{"code": "001618", "name": "天弘中证食品饮料", "shares": 1000, "cost": 1.5}]}

详细结构:references/storage.md

收益计算

// 当日预估收益(今天赚/亏多少)
dailyGains = (gsz - nav) * shares;
dailyGainsRate = gszzl;  // 直接用API返回的涨跌幅

// 持仓总收益(从买入到现在总共赚/亏多少)
costGains = (gsz - cost) * shares;
costGainsRate = ((gsz - cost) / cost) * 100;

重要区分:

  • 当日收益 = (估算净值 - 昨日净值) × 份额 → 今天赚了多少
  • 持仓收益 = (估算净值 - 成本价) × 份额 → 总共赚了多少

字段说明:

  • nav: 昨日净值(已公布)
  • gsz: 估算净值(盘中实时)
  • gszzl: 估算涨跌幅(%)
  • gztime: 估值更新时间
  • cost: 用户买入成本价

操作流程

用户意图 执行步骤
查询基金 fund_api.py query {代码} → 解析 JSON 输出
添加持仓 portfolio.py add {代码} {份额} {成本}
查看持仓收益 portfolio.py listfund_api.py query {代码列表} → 计算收益
切换用户 portfolio.py user {用户名}
查看行情 fund_api.py index

API 响应字段

详见 references/api.md

注意事项

  1. 首次使用需运行 portfolio.py init 初始化数据目录
  2. 实时估值使用天天基金接口 http://fundgz.1234567.com.cn/js/{code}.js
  3. 交易时段:9:30-11:30, 13:00-15:00(排除节假日)
  4. QDII基金估值可能延迟,部分新发基金无估值数据
general reviews

Ratings

4.667 reviews
  • Ama Martinez· Dec 28, 2024

    fund-assistant is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Hassan Thompson· Dec 24, 2024

    fund-assistant has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Zaid Ramirez· Dec 24, 2024

    Registry listing for fund-assistant matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Chen Bhatia· Dec 20, 2024

    fund-assistant reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Chaitanya Patil· Dec 12, 2024

    fund-assistant fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Noor Gupta· Dec 8, 2024

    Solid pick for teams standardizing on skills: fund-assistant is focused, and the summary matches what you get after install.

  • Rahul Santra· Nov 27, 2024

    fund-assistant has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Harper Malhotra· Nov 19, 2024

    fund-assistant fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Valentina Srinivasan· Nov 15, 2024

    Useful defaults in fund-assistant — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Chen Mehta· Nov 11, 2024

    I recommend fund-assistant for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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