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在 OpenClaw 中安装
/install xtdata
功能描述
XtQuant行情数据模块 - 为QMT/miniQMT提供实时行情、K线、Tick、Level2和财务数据。
安全使用建议
This skill appears to do what it says, but review these points before installing: 1) pip install xtquant will fetch and execute third-party package code — verify the xtquant package source/version (PyPI/project homepage) if you need supply-chain assurance. 2) The library connects to a local miniQMT TCP service and may read the local userdata_mini path — only use it if you trust the local MiniQMT binary and the data files it will access. 3) No cloud credentials are requested by the skill itself, but network activity (PyPI install and local TCP) will occur. 4) Minor metadata/version mismatches exist between files (SKILL.md vs metadata), which looks like bookkeeping rather than malicious behavior. If you require higher assurance, inspect the xtquant package source and run installs in an isolated environment (virtualenv/container) before trusting it with production data.
功能分析
Type: OpenClaw Skill
Name: xtdata
Version: 1.0.3
The `xtdata` skill bundle is a comprehensive documentation and integration package for the `xtquant` library, a legitimate tool used for quantitative trading with the QMT/miniQMT platform. The files, including `SKILL.md`, `xtdata.md`, and `xttrader.md`, provide extensive and accurate API references for market data retrieval (K-lines, Level 2, financial data) and trading operations (orders, asset queries, bank transfers). No evidence of malicious intent, data exfiltration, obfuscation, or harmful prompt injection was found; the bundle's content is entirely consistent with its stated purpose as a financial data and trading interface.
能力评估
Purpose & Capability
Name/description, documentation files, and the demo all describe a market-data module that communicates with a local miniQMT client. The declared requirement (python3) and the included docs/README/request to pip install xtquant are consistent with that purpose.
Instruction Scope
SKILL.md instructs the agent to pip install xtquant and to call xtdata.connect(), subscribe, download, and read local cache (get_local_data). This is within the module's purpose, but it explicitly requires connecting to a local TCP service (miniQMT) and reading a user data directory (userdata_mini), which means the skill will cause local network connections and read local data files when used.
Install Mechanism
The skill is instruction-only (no install spec). SKILL.md and requirements.txt direct users to pip install xtquant and pandas — a normal approach but one that installs third-party packages from PyPI. Installing xtquant will run arbitrary code from that package, so verification of the upstream package (source, integrity) is advisable.
Credentials
No environment variables, credentials, or config paths are requested by the skill bundle. The only requested access is to the local miniQMT service and optionally a local data directory (data_dir), which is proportionate to a market-data library.
Persistence & Privilege
always is false and the skill does not request elevated platform privileges or persistent forcing into every agent run. Autonomous invocation is allowed (platform default) but not combined with broad credential requests.
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 xtdata - 安装完成后，直接呼叫该 Skill 的名称或使用
/xtdata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
v1.0.3
- Added a demo project with usage examples and documentation.
- New files: demo_project/README.md and demo_project/demo.py.
v1.0.2
xtdata 1.2.0 changelog
- Documentation is now partially updated with Chinese headings and terminology for better localization.
- Some field descriptions and comments within financial data sections now include Chinese translations or terms.
- No code or functional changes; content and usage examples remain unchanged.
- All original usage instructions and API guidance are preserved.
v1.0.1
xtdata 1.1.0 — Major update with expanded documentation and API details
- Added extensive API documentation covering all core xtdata functions, usage patterns, and typical workflows.
- Provided best-practice guidance for data downloading, rate limits, and batch queries.
- Documented advanced features such as expired contract data retrieval, full-market and single-asset subscription, and unsubscription.
- Expanded financial and statement field references for Balance, Income, and Cash Flow tables.
- Included several new markdown documentation files for quick reference and in-depth learning.
- Clarified distinctions between data subscription, retrieval, and download APIs for clearer user onboarding.
v1.0.0
XtQuant Python SDK for QMT/miniQMT — market data (xtdata) and trading (xttrade) interface for Chinese securities.
元数据
常见问题
xtdata 是什么？
XtQuant行情数据模块 - 为QMT/miniQMT提供实时行情、K线、Tick、Level2和财务数据。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 462 次。
如何安装 xtdata？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install xtdata」即可一键安装，无需额外配置。
xtdata 是免费的吗？
是的，xtdata 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
xtdata 支持哪些平台？
xtdata 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 xtdata？
由 coderwpf（@coderwpf）开发并维护，当前版本 v1.0.3。
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