← Back to Skills Marketplace
462
Downloads
3
Stars
1
Active Installs
4
Versions
Install in OpenClaw
/install xtdata
Description
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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install xtdata - After installation, invoke the skill by name or use
/xtdata - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is xtdata?
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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 462 downloads so far.
How do I install xtdata?
Run "/install xtdata" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is xtdata free?
Yes, xtdata is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does xtdata support?
xtdata is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created xtdata?
It is built and maintained by coderwpf (@coderwpf); the current version is v1.0.3.
More Skills