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在 OpenClaw 中安装
/install multi-factor-strategy
功能描述
Guide users to create multi-factor stock selection strategies and generate independent YAML configuration files
安全使用建议
Before installing, verify that the QuantCLI package and repository are the ones you intend to trust, prefer a pinned reviewed version or commit, and run it in a virtual environment. Treat generated stock-screening strategies as decision-support material, not financial advice.
功能分析
Type: OpenClaw Skill
Name: multi-factor-strategy
Version: 1.0.0
The skill bundle is classified as benign. Its content, including the `skill.md` instructions, is entirely focused on guiding users to create multi-factor stock selection strategies using the `quantcli` tool. There is no evidence of intentional harmful behavior such as data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts designed to subvert the agent's purpose. The instructions to install `quantcli` via `pip install` or `git clone` from `gitcode.com` are standard methods for acquiring a CLI tool and are directly aligned with the skill's stated purpose, without introducing any direct malicious code or instructions within the skill bundle itself.
能力评估
Credentials
The requested environment use is proportionate to the purpose: local YAML generation and optional execution of QuantCLI strategy commands, with no request for elevated privileges or broad local indexing.
Install Mechanism
The skill tells users to install QuantCLI from PyPI or a mutable source repository without pinning a version, commit, or hash, creating a normal supply-chain trust dependency that should be managed by the user.
Instruction Scope
The skill gives strategy-building guidance and explicit QuantCLI commands; it does not contain hidden role changes, prompt overrides, credential handling, exfiltration, or destructive actions.
Persistence & Privilege
No persistence mechanism, background worker, scheduled task, privilege escalation, or modification of agent behavior is present in the artifact.
Purpose & Capability
The instructions, examples, and commands align with the stated purpose of helping users build multi-factor stock selection strategy configuration files.
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 multi-factor-strategy - 安装完成后，直接呼叫该 Skill 的名称或使用
/multi-factor-strategy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 – helps users build multi-factor stock selection strategies with YAML configuration for QuantCLI.
- Guides users through strategy goal setting, factor selection, weight configuration, and YAML file generation.
- Supports both inline and external (file-based) factor definitions in strategies.
- Provides detailed YAML examples and step-by-step workflow for creating custom stock screening and ranking logic.
- Documents available factor expressions, built-in Alpha101 factors, and QuantCLI command usage.
- Suitable for both fundamental and technical multi-factor strategies.
元数据
常见问题
multi-factor-strategy 是什么？
Guide users to create multi-factor stock selection strategies and generate independent YAML configuration files. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 6435 次。
如何安装 multi-factor-strategy？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install multi-factor-strategy」即可一键安装，无需额外配置。
multi-factor-strategy 是免费的吗？
是的，multi-factor-strategy 完全免费（开源免费），可自由下载、安装和使用。
multi-factor-strategy 支持哪些平台？
multi-factor-strategy 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 multi-factor-strategy？
由 wumu2013（@wumu2013）开发并维护，当前版本 v1.0.0。
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