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Install in OpenClaw
/install multi-factor-strategy
Description
Guide users to create multi-factor stock selection strategies and generate independent YAML configuration files
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install multi-factor-strategy - After installation, invoke the skill by name or use
/multi-factor-strategy - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is multi-factor-strategy?
Guide users to create multi-factor stock selection strategies and generate independent YAML configuration files. It is an AI Agent Skill for Claude Code / OpenClaw, with 4051 downloads so far.
How do I install multi-factor-strategy?
Run "/install multi-factor-strategy" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is multi-factor-strategy free?
Yes, multi-factor-strategy is completely free (open-source). You can download, install and use it at no cost.
Which platforms does multi-factor-strategy support?
multi-factor-strategy is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created multi-factor-strategy?
It is built and maintained by wumu2013 (@wumu2013); the current version is v1.0.0.
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