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Install in OpenClaw
/install vibetrading
Description
Build, backtest, and deploy cryptocurrency trading strategies using the vibetrading Python framework. Use when: (1) generating trading strategies from natura...
Usage Guidance
This skill's instructions look like a legitimate crypto trading framework, but there are two red flags you should resolve before installing or handing over secrets: (1) the registry metadata does not declare the environment variables the SKILL.md clearly needs (exchange API keys / private keys, and ANTHROPIC_API_KEY or OPENAI_API_KEY). That mismatch could be an oversight or a sign the publisher omitted sensitive requirements. (2) There is no homepage or source URL listed — you have no way to review the package source or verify the maintainer. Recommended actions: verify the vibetrading PyPI package and its source repository (look for a homepage, GitHub repo, and recent commits); prefer exchange API keys with minimal scopes or test with read-only/sandbox credentials first; never paste a long-term private key into a project you haven't audited (use ephemeral keys or hardware wallets where supported); require the publisher to add explicit required env metadata and a source link before using for live trading; and run all code in isolated sandboxes/backtests until you confirm behavior.
Capability Analysis
Type: OpenClaw Skill
Name: vibetrading
Version: 1.0.1
The vibetrading skill bundle provides a framework for crypto trading that involves high-risk behaviors, specifically the handling of sensitive exchange private keys and API secrets (SKILL.md, references/api-details.md). It also includes a workflow for generating and executing Python code via LLMs (vibetrading.strategy.generate), which introduces a significant risk of code injection or unintended execution. Furthermore, the metadata and documentation contain future-dated timestamps and model versions (e.g., publishedAt in 2026 and 'claude-sonnet-4-20250514'), which are anomalous indicators.
Capability Assessment
Purpose & Capability
The skill's name and prose describe building, backtesting, and deploying crypto strategies and the SKILL.md provides exactly those instructions (backtest API, live deploy, exchange credentials, AI generation). However the registry metadata shows no required env vars or homepage/source, which is inconsistent with the clear runtime need for exchange API keys and LLM API keys.
Instruction Scope
Instructions are narrowly scoped to authoring strategies, backtesting, and live deployment. They explicitly tell the agent to read strategy files, load a .env.local for credentials, call vibetrading.live.start(...) with api_key/api_secret, and optionally use ANTHROPIC_API_KEY or OPENAI_API_KEY for AI generation. The only scope issue is that these runtime behaviors require sensitive secrets and file reads but the skill metadata does not declare them.
Install Mechanism
This is an instruction-only skill with no install spec and no bundled code; SKILL.md recommends pip install vibetrading (normal for a Python library). No remote download/extract or unknown install host is specified in the skill bundle itself.
Credentials
The runtime clearly needs exchange credentials (wallet/private key or api key/secret) and LLM API keys for AI generation, yet the skill metadata lists no required env vars and no primary credential. The absence of declared env requirements plus the suggestion to store private keys in .env.local is a mismatch and increases risk — you should only provide minimal credentials, prefer scoped API keys, and verify where keys are used.
Persistence & Privilege
always:false and no install steps mean the skill does not request permanent elevated presence. It does instruct reading local files (strategy code, .env.local) and using those values at runtime, which is expected for live trading. No instructions attempt to change other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install vibetrading - After installation, invoke the skill by name or use
/vibetrading - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Version 1.0.1
- Major project cleanup: removed legacy example scripts, templates, and outdated validation/backtest files.
- Updated SKILL.md to document the new vibetrading Python framework with a focus on function-based strategy design, backtesting, and live trading.
- Added a concise API reference file (references/api-details.md) for easier strategy and function lookup.
- Skill is now agent-first and supports multi-exchange deployment (Hyperliquid, Paradex, Lighter, Aster).
- Skill is strictly limited to crypto trading strategy generation, backtesting, and deployment within the vibetrading framework.
v1.0.0
Initial release of vibetrading for clawdbot(https://vibetrading.dev)
- Generate executable Hyperliquid trading strategy code from natural language prompts.
- Produces complete Python code, including error handling, logging, config management, and Hyperliquid API integration.
- Includes an automatic code validation and fixing system for Python 3.5+ compatibility.
- Supports a range of trading strategies: technical indicator, grid, mean reversion, trend following, signal-based, and more.
- Offers command-line tools for code generation and validation, with flexible configuration options.
- Ensures security (no hardcoded credentials) and adherence to code quality standards.
Metadata
Frequently Asked Questions
What is Vibetrading?
Build, backtest, and deploy cryptocurrency trading strategies using the vibetrading Python framework. Use when: (1) generating trading strategies from natura... It is an AI Agent Skill for Claude Code / OpenClaw, with 845 downloads so far.
How do I install Vibetrading?
Run "/install vibetrading" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Vibetrading free?
Yes, Vibetrading is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Vibetrading support?
Vibetrading is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Vibetrading?
It is built and maintained by crabbytt (@crabbytt); the current version is v1.0.1.
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