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Quant Strategy Bundle
作者
jason-aka-chen
· GitHub ↗
· v1.0.0
· MIT-0
134
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当前安装
1
版本数
在 OpenClaw 中安装
/install quant-strategy-bundle-chen
功能描述
Quantitative trading strategy bundle - Contains multiple verified A-stock quantitative trading strategy frameworks. Includes momentum strategies, reversal st...
安全使用建议
This skill is inconsistent: the README expects a local 'strategy' Python module and a Tushare API token but provides neither and does not declare required credentials. Before installing or running anything: (1) obtain the actual strategy code from a trusted source (the skill package lacks it); (2) do not paste your Tushare token into public places — store it securely and consider using environment variables rather than unchecked config files; (3) prefer installing dependencies into an isolated virtual environment (venv/conda) rather than system-wide; (4) verify the strategy implementation code for unsafe behaviour (network calls, data exfiltration, or executing arbitrary shell commands); (5) if you cannot obtain the missing code or a trustworthy source, avoid running the pip installs or executing unverified scripts. These inconsistencies are plausibly benign poor packaging, but they could hide risk, so proceed with caution.
能力评估
Purpose & Capability
The name/description (quant trading strategies, backtesting, signal generation) match the high-level instructions, but the SKILL.md expects a 'strategy' Python module and a config.json with a Tushare token that are not included and not declared in requirements. The skill therefore does not contain the code it claims to document, which is an incoherence.
Instruction Scope
Runtime instructions tell the user/agent to pip install packages and then import from 'strategy' (MomentumStrategy, etc.) and to place a Tushare token in config.json. The skill does not provide that module or an example config, and it does not declare the Tushare token as a required credential. This gives the agent/user broad discretion to install packages and use external tokens without guidance or packaged code.
Install Mechanism
There is no install spec (instruction-only). SKILL.md recommends 'pip install pandas numpy xgboost tushare' which will download code from PyPI — normal for Python projects but worth noting because large packages (xgboost) may require build steps; the skill does not provide a controlled install or pinned versions.
Credentials
The instructions require a Tushare token (sensitive API credential) in config.json, but the skill declares no required environment variables or primary credential. Asking for a third‑party API token without declaring it or explaining storage/usage is disproportionate and a transparency gap.
Persistence & Privilege
always is false and there is no install script or persistent modification of agent/system configuration. The skill does not request elevated or persistent privileges.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install quant-strategy-bundle-chen - 安装完成后，直接呼叫该 Skill 的名称或使用
/quant-strategy-bundle-chen触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
常见问题
Quant Strategy Bundle 是什么？
Quantitative trading strategy bundle - Contains multiple verified A-stock quantitative trading strategy frameworks. Includes momentum strategies, reversal st... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 134 次。
如何安装 Quant Strategy Bundle？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install quant-strategy-bundle-chen」即可一键安装，无需额外配置。
Quant Strategy Bundle 是免费的吗？
是的，Quant Strategy Bundle 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Quant Strategy Bundle 支持哪些平台？
Quant Strategy Bundle 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Quant Strategy Bundle？
由 jason-aka-chen（@jason-aka-chen）开发并维护，当前版本 v1.0.0。
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