quant-orchestratorMulti-Agent AI Quant System with multi-coin prediction, strategy templates, and automated backtesting
Install via ClawdBot CLI:
clawdbot install pikachu022700/quant-orchestratorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
post → https://api.hyperliquid.xyz/infoCalls external URL not in known-safe list
https://clawhub.com/quant-orchestratorAI Analysis
The skill sends data to an undocumented external API endpoint (api.hyperliquid.xyz) which is a cryptocurrency exchange, creating a potential data exfiltration risk. While this may be consistent with its stated purpose of multi-coin prediction, the lack of documentation and transparency about this data flow is concerning. No credential harvesting or hidden instructions were found in the provided definition.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Individual investors can use the skill to predict price movements across 8 major cryptocurrencies and apply 10 strategy templates for automated trading decisions. It helps optimize portfolio allocation and risk management through multi-model voting for more stable predictions.
Trading firms can leverage the AI-driven multi-coin predictions and automated backtesting to develop and test new strategies quickly. The skill supports factor mining and strategy generation, enabling firms to scale their quantitative research and execution across multiple assets.
Hedge funds can utilize the skill for real-time market analysis and strategy deployment, using momentum, mean reversion, and other templates to capitalize on market inefficiencies. The multi-agent system enhances decision-making with diverse model inputs for improved accuracy.
Educational institutions can integrate this skill into trading courses to teach students about quantitative analysis, backtesting, and AI in finance. It provides hands-on experience with real-world data and strategy templates, making complex concepts accessible.
FinTech companies can embed the skill into their platforms to offer advanced trading tools to users, such as automated predictions and strategy recommendations. This adds value by enabling users to make data-driven decisions without deep technical expertise.
Charge users 0.1 USDC per API call for predictions or strategy generation, making it accessible for occasional users while generating revenue based on usage volume. This model scales with demand and encourages adoption through low entry costs.
Offer monthly or annual subscriptions with bundled call credits and premium features like advanced AI factor mining or priority support. This provides predictable recurring revenue and caters to heavy users like trading firms or hedge funds.
License the skill to other companies, such as FinTech platforms or educational providers, for integration into their own products. This generates upfront or ongoing licensing fees while expanding market reach through partnerships.
💬 Integration Tip
Ensure API keys are securely managed and consider using a sandbox environment for initial testing to avoid live trading risks.
Scored Jun 17, 2026
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