No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by pseudo-longinus · Agent Tool · ★ 188
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is quant-buddy-skills safe to install? View the security audit →
quant-buddy-skills 中文 · English · 官网 · 新手教程 🔥 3 秒快速安装 如果你熟悉 Agent 工具（Claude Code、Cursor、OpenClaw 等），可以直接对 AI Agent 说： 帮我安装这个 skill： 如果你不懂如何使用 Agent 和 skill，可以按照小白图文教程一步步展开。 让 AI Agent（智能代理）直接在全 A 股上跑公式、选股、因子和回测。 A-share quant execution layer for Claude Code、Cursor、Codex、GitHub Copilot、Windsurf 等 AI Agent。 quant-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。 传
| Stars | 188 |
| Forks | 24 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 62.1970312940933/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-16 |
| Created | 2026-04-21 |
| Platforms | claude-code, python |
| Est. Tokens | ~17k |
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迅投 QMT 量化 AI 技能集（Agent Skills）：研报因子回测脚本生成等，适用于 Claude Code / Cursor / Codex / Kimi 等 70+ AI 编程工具
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AI agent skill for generating quantitative strategy code on JoinQuant platform - Cursor / Claude Code compatib
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quant-buddy-skills is 宽宝 QuantBuddy： 一整套面向Agent Invesment投资研究与决策的底层设施与能力的调用skill， 覆盖A股/港股/美股/期货/宏观/ETF的量化分析与计算。支持行情、估值、财务查询、选股筛选、因子计算、策略回测。A complete infrastructure for Agent based investment analysis and decision through . It is categorized as a Agent Tool with 188 GitHub stars.
quant-buddy-skills is primarily written in Python. It covers topics such as a-share, agent-skills, backtesting.
You can find installation instructions and usage details in the quant-buddy-skills GitHub repository at github.com/pseudo-longinus/quant-buddy-skills. The project has 188 stars and 24 forks, indicating an active community.
quant-buddy-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to quant-buddy-skills on Agent Skills Hub include agent-skills, a-share-skill, agent-skills-cli. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: