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xueylee-dotcom

Quant Strategy Development

by xueylee-dotcom · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
781
Downloads
3
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install quant-strategy-dev
Description
量化策略开发主技能。当用户说"开发量化策略"、"设计量化策略"、"写策略代码"、"量化策略开发"时自动触发。提供标准开发流程、代码规范、检查清单、代码模板。适用于量化策略项目的开发阶段。
Usage Guidance
This skill is a documentation/template pack for building trading strategies and appears internally consistent. Before using any generated or copy-pasted code: 1) review any order-sending calls (e.g., passorder) and ensure they point to test/sandbox endpoints; 2) never supply broker/API credentials to the skill itself unless you trust the runtime environment; 3) run extensive unit/backtests and perform small-sum live tests as the skill advises; 4) audit any integrated code you add for safety (rate limits, anti-self-trading checks, hard-coded limits) because executing trading code can cause real financial loss.
Capability Analysis
Type: OpenClaw Skill Name: quant-strategy-dev Version: 1.0.0 The skill bundle provides legitimate guidelines, code templates, and checklists for developing quantitative trading strategies using the QMT platform. The content in SKILL.md focuses on risk management, testing procedures, and standard coding practices without any indicators of data exfiltration, malicious execution, or unauthorized access.
Capability Assessment
Purpose & Capability
Name/description (quant strategy development) match the SKILL.md content: design process, code templates, testing and backtest/real-trade checklists. The skill does not request unrelated binaries, cloud credentials, or system access.
Instruction Scope
SKILL.md contains coding patterns, test templates, backtest and live-trade checklists and explicit warnings about testing and risk controls. It does not instruct reading arbitrary system files, exfiltrating data, or contacting hidden endpoints. It references trading APIs (QMT) and order calls (passorder) which are expected for this domain.
Install Mechanism
Instruction-only skill with no install spec and no code files to run; nothing is written to disk and no remote downloads are performed.
Credentials
The skill declares no required environment variables, credentials, or config paths. While the guidance assumes eventual connection to trading/broker APIs (which will require credentials), the skill itself does not request or handle secrets — this is proportionate for a documentation/template skill.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request persistent or elevated privileges or modify other skills' configs. Autonomous invocation is allowed by platform default and is not combined with other red flags.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install quant-strategy-dev
  3. After installation, invoke the skill by name or use /quant-strategy-dev
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
v1.0.0: 量化策略开发主技能。提供标准开发流程、代码规范、检查清单、代码模板。支持自动触发:开发量化策略、设计量化策略、写策略代码。
Metadata
Slug quant-strategy-dev
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Quant Strategy Development?

量化策略开发主技能。当用户说"开发量化策略"、"设计量化策略"、"写策略代码"、"量化策略开发"时自动触发。提供标准开发流程、代码规范、检查清单、代码模板。适用于量化策略项目的开发阶段。 It is an AI Agent Skill for Claude Code / OpenClaw, with 781 downloads so far.

How do I install Quant Strategy Development?

Run "/install quant-strategy-dev" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Quant Strategy Development free?

Yes, Quant Strategy Development is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Quant Strategy Development support?

Quant Strategy Development is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Quant Strategy Development?

It is built and maintained by xueylee-dotcom (@xueylee-dotcom); the current version is v1.0.0.

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