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wumu2013

multi-factor-strategy

作者 wumu2013 · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
4051
总下载
3
收藏
16
当前安装
1
版本数
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
This skill is coherent: it helps craft QuantCLI YAMLs and instructs installing/running QuantCLI. Before installing/using: (1) prefer pip install quantcli from PyPI and verify the package's provenance and recent release history; (2) be cautious if you clone from an unfamiliar Git host (gitcode.com)—inspect the source first; (3) review any generated YAML and factor files before running them, since running quantcli will execute code against your data and local filesystem; (4) expect that QuantCLI or your data feeds may require separate market-data API keys or credentials—those are not requested by this skill but may be required to use the tool; (5) if you want stricter guarantees, ask the skill author for a homepage or repository link and inspect the quantcli package source and dependencies.
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
Purpose & Capability
Name/description match the SKILL.md: it guides users to design multi-factor stock-selection strategies and produce YAML configs. The instructions reference QuantCLI and factor files under a local factors/ or alpha101/ directory, which is coherent for this purpose.
Instruction Scope
Instructions tell the user/agent how to install quantcli (pip or git clone) and how to run quantcli filter run -f your_strategy.yaml. They reference local paths (factors/, {baseDir}/alpha101) and expect the user to provide YAML and factor files — this is expected but means the agent will operate on local files the user supplies. No instructions request arbitrary system files, secrets, or exfiltration.
Install Mechanism
The registry has no install spec (instruction-only). SKILL.md recommends pip install quantcli (PyPI) or cloning from gitcode.com. Using PyPI is standard; cloning from a less-known git host (gitcode.com) is a minor provenance note to verify if you choose the source install.
Credentials
The skill declares no required environment variables, credentials, or config paths and the instructions do not ask for secrets. (Be aware that quantcli or your data provider may later require API keys or credentials, but those are external to this skill and not requested here.)
Persistence & Privilege
always is false and there is no install-time behavior declared. This instruction-only skill does not request persistent or elevated agent presence.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install multi-factor-strategy
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /multi-factor-strategy 触发
  4. 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
Slug multi-factor-strategy
版本 1.0.0
许可证
累计安装 16
当前安装数 16
历史版本数 1
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 4051 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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