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Quant Analyst
by
Justin Liu
· GitHub ↗
· v0.1.1
580
Downloads
0
Stars
9
Active Installs
2
Versions
Install in OpenClaw
/install quant-analyst
Description
Professional quantitative trading system for cryptocurrency - backtesting, paper trading, live trading, and strategy optimization
Usage Guidance
Proceed cautiously. The quant-analyst instructions themselves are consistent with a trading tool, but:
- There is an unrelated SKILL-EN.md (video-generator) bundled in the same package — ask the publisher why unrelated skill docs are included.
- The skill's metadata declares no required env vars but the instructions expect BINANCE_API_KEY/SECRET (and the English file expects OPENAI_API_KEY). Treat this as a mismatch and assume the skill will ask for credentials.
- Before running any git clone / pip install or executing scripts from the repos, manually inspect the GitHub repositories (openclaw-quant and openclaw-video) and review scripts such as generate-for-openclaw.sh and any startup hooks. Check recent commits, contributors, and issues.
- Never supply exchange API keys with withdrawal permissions. Use read-only or testnet API keys and start with paper trading only.
- Run installations and live tests in an isolated environment (VM or container) until you verify the code.
- Prefer skills with a trustworthy homepage or known maintainer. If you can't verify the upstream repositories or get a clear explanation for the bundled video doc, consider not installing.
Capability Analysis
Type: OpenClaw Skill
Name: quant-analyst
Version: 0.1.1
The bundle exhibits a critical discrepancy: while the metadata and primary documentation (SKILL.md, SKILL-ZH.md) describe a 'quant-analyst' trading tool, SKILL-EN.md contains instructions for a completely unrelated 'video-generator' skill. This inclusion of 'shadow' instructions for a different domain—including commands to clone external repositories (github.com/ZhenRobotics/openclaw-video) and execute shell scripts—constitutes a prompt-injection risk where the agent may perform actions beyond the user's intended scope. While no explicit data exfiltration logic is present, the deceptive packaging and unauthorized command execution paths are highly irregular.
Capability Assessment
Purpose & Capability
The primary SKILL.md and SKILL-ZH.md describe a quantitative trading tool and instruct cloning https://github.com/ZhenRobotics/openclaw-quant and installing Python deps—this is coherent with the stated purpose. However, SKILL-EN.md is for a completely different 'video-generator' skill (different repo, different env var: OPENAI_API_KEY) bundled into the same package. That file is unrelated to quant-analyst and suggests a packaging/misconfiguration or intentional bundling of unrelated capabilities.
Instruction Scope
The runtime instructions tell the agent/user to git clone external repositories and run project scripts (pip install -r requirements.txt, run python -m openclaw_quant, and in the English file run ~/openclaw-video/generate-for-openclaw.sh). Those commands will fetch and execute third-party code on the user's machine. The SKILL.md examples reference reading env vars (BINANCE_API_KEY/SECRET and use of os.getenv) even though the declared skill metadata lists no required env vars. The presence of unrelated instructions (video-generator) increases risk that the agent may run commands outside the intended domain.
Install Mechanism
No formal install spec is declared (instruction-only), which is lower baseline risk for the platform, but the instructions require cloning GitHub repos and running pip/npm installs. The repos referenced are hosted on GitHub (reasonable), but cloning and running install scripts pulls arbitrary code from an external source into the user's environment and may execute scripts that are not pre-vetted. The package contains two different repo targets (openclaw-quant and openclaw-video).
Credentials
Declared metadata lists no required env vars, but the instructions and examples explicitly advise setting BINANCE_API_KEY and BINANCE_API_SECRET (for live trading) and SKILL-EN.md requests OPENAI_API_KEY. This mismatch is a red flag: the skill will operate with credentials but does not declare them, so a user or automated installer may not be warned. Live trading also implies use of exchange API keys—users must ensure keys are limited (no withdrawal) and prefer testnet keys for initial use.
Persistence & Privilege
The skill does not request always:true, does not declare special config paths, and is install-free at platform level. It can be invoked autonomously (platform default) and contains AUTO-TRIGGER keywords, which is expected for agent-facing skills. There is no evidence the skill attempts to modify other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install quant-analyst - After installation, invoke the skill by name or use
/quant-analyst - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.1
No changes detected for version 0.1.1.
- No file or documentation changes in this release.
- Functionality and features remain identical to version 0.1.0.
v0.1.0
quant-analyst 0.1.0 – Initial Release
- Launches a professional quantitative trading system for cryptocurrency.
- Core features: backtesting, paper trading, live trading, and strategy optimization.
- Supports 50+ technical indicators and multiple exchanges (via ccxt).
- Includes built-in strategies (e.g., MA Cross, RSI, MACD, Bollinger).
- Offers performance analytics (Sharpe ratio, max drawdown, win rate, etc.) and risk management tools.
- Easy installation, CLI, and agent integration for natural language queries.
Metadata
Frequently Asked Questions
What is Quant Analyst?
Professional quantitative trading system for cryptocurrency - backtesting, paper trading, live trading, and strategy optimization. It is an AI Agent Skill for Claude Code / OpenClaw, with 580 downloads so far.
How do I install Quant Analyst?
Run "/install quant-analyst" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Quant Analyst free?
Yes, Quant Analyst is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Quant Analyst support?
Quant Analyst is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Quant Analyst?
It is built and maintained by Justin Liu (@zhenstaff); the current version is v0.1.1.
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