{"slug":"pseudo-longinus-quant-buddy-skills","name":"Quant Buddy Skills","description":"A reusable AI agent skill for quantitative analysis of A-share, HK, and US stocks, including market data, fundamentals, screening, factor calculation, and backtesting.","long_description":"# quant-buddy-skills\n\n<p align=\"center\">\n  <img src=\"assets/banner.jpg\" alt=\"quant-buddy-skills\" width=\"100%\" />\n</p>\n\n<p align=\"center\">\n  <a href=\"README.md\">中文</a> ·\n  <a href=\"README.en.md\">English</a> ·\n  <a href=\"https://www.quantbuddy.cn\">官网</a> ·\n  <a href=\"https://tcn8bvcbyokw.feishu.cn/wiki/E1zswck3oiiJjJkP07QcmSG3nle?from=from_copylink\">新手教程</a>\n</p>\n\n<p align=\"center\">\n  <a href=\"https://github.com/pseudo-longinus/quant-buddy-skills/stargazers\"><img alt=\"GitHub stars\" src=\"https://img.shields.io/github/stars/pseudo-longinus/quant-buddy-skills?style=social\"></a>\n  <a href=\"https://github.com/pseudo-longinus/quant-buddy-skills/blob/main/LICENSE\"><img alt=\"License\" src=\"https://img.shields.io/badge/license-MIT-green\"></a>\n  <img alt=\"Python\" src=\"https://img.shields.io/badge/Python-3.8%2B-blue\">\n  <img alt=\"Market\" src=\"https://img.shields.io/badge/A%E8%82%A1-quant-orange\">\n</p>\n\n## 🔥 3 秒快速安装\n\n如果你熟悉 Agent 工具（Claude Code、Cursor、OpenClaw 等），可以直接对 AI Agent 说：\n\n> 帮我安装这个 skill：\n\n```bash\nnpx skills add pseudo-longinus/quant-buddy-skills -g -a claude-code -s quant-buddy-skill -y\n```\n\n如果你不懂如何使用 Agent 和 skill，可以按照[小白图文教程](https://tcn8bvcbyokw.feishu.cn/wiki/E1zswck3oiiJjJkP07QcmSG3nle?from=from_copylink)一步步展开。\n\n---\n\n> **让 AI Agent（智能代理）直接在全 A 股上跑公式、选股、因子和回测。**  \n> A-share quant execution layer for Claude Code、Cursor、Codex、GitHub Copilot、Windsurf 等 AI Agent。\n\nquant-buddy-skills 不是普通股票数据 API（应用程序接口）。它把**行情、估值、财务、公式引擎、全市场筛选、因子计算、策略回测、净值对比和图表渲染**封装成 AI Agent（智能代理）可直接调用的投研工作流。\n\n数据覆盖包括 A 股财务、港美股财务、龙虎榜标签、GICS 行业等常用投研数据。\n\n传统数据 API 只负责\"把数据拉出来\"；quant-buddy-skills 负责让 AI Agent 把自然语言投研想法转成**可执行公式、平台侧计算、结构化结果和可复用任务**。\n\n官网：https://www.quantbuddy.cn\n\n> 本项目用于金融数据分析、量化研究、策略验证和教育用途，不构成投资建议、交易建议、收益承诺或自动交易服务。\n\n## 30 秒示例\n\n你可以直接对 AI Agent（智能代理）说：\n\n```text\n筛选今天 14:30 全 A 股中，近 60 个交易日创新高、\n成交额高于过去 20 日均值 2 倍、且涨幅排名靠前的公司。\n```\n\nAI Agent（智能代理）会生成公式链，由 quant-buddy（量化投研平台）在平台侧完成全市场计算，然后只返回 TopN（前 N 名）名单、指标、排序和图表。\n\n不用把几千只股票的大表塞进 LLM（大语言模型）上下文，也不用手写数据清洗、字段 join（连接）和回测代码。\n\n## 为什么值得安装\n\n- **不是只查数据**：","tagline":"A股·港股·美股量化分析 Agent Skill。支持行情、估值、财务查询、选股筛选、因子计算、策略回测。Quant agent skill for A-share, HK & US stocks — market data, fundamentals, screening, factor & backtest.","category":"finance-quant","tags":["quant","agent-skill","stocks","backtesting","china-stocks"],"author":"pseudo-longinus","verified":false,"attribution":{"status":"community_indexed","statusLabel":"Community indexed","shortLabel":"COMMUNITY INDEXED","sourceLabel":"OpenAgentSkill auto-indexer","sourceDetail":"pseudo-longinus/quant-buddy-skills","creatorName":"pseudo-longinus","creatorUrl":"https://github.com/pseudo-longinus","sourceUrl":"https://github.com/pseudo-longinus/quant-buddy-skills","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/pseudo-longinus-quant-buddy-skills#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":22,"forks":2,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":42.78},"quality":{"score":67,"tier":"promising","label":"Promising","summary":"Useful candidate, but compare it with alternatives before adopting.","signals":[{"label":"GitHub stars","value":"22","tone":"neutral"},{"label":"Freshness","value":"2mo ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["Low GitHub adoption signal"]},"trust":{"version":"trust-score-v5","score":64,"base_score":72,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. 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