quant-orchestrator-freeMulti-Agent AI Quant System with factor mining, strategy generation, and automated backtesting
Install via ClawdBot CLI:
clawdbot install pikachu022700/quant-orchestrator-freeGrade 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 (hyperliquid.xyz) which is not explained in the skill's description and could be a data exfiltration risk. While the primary purpose appears legitimate, the lack of transparency about this external call and its potential to send user data or queries to an unauthorized third-party server creates a security concern.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
A hedge fund uses the skill to automate factor mining and strategy generation for Bitcoin trading, enabling rapid backtesting of momentum strategies to identify profitable signals and optimize portfolio allocation.
A trading firm leverages the skill to evaluate multiple AI-generated strategies with metrics like Sharpe ratio and max drawdown, streamlining the research pipeline and reducing manual analysis time for algorithmic trading.
A fintech startup integrates the skill into their platform to offer automated strategy creation and backtesting as a service, attracting retail investors with data-driven insights and performance metrics.
Researchers use the skill to study AI-driven factor mining and strategy evaluation, applying it to historical market data to publish papers on quant methods and validate new trading models.
An individual trader employs the skill to generate and backtest personalized strategies for cryptocurrencies, using the output metrics to refine approaches and improve risk-adjusted returns in live trading.
Charge users 1 USDC per call for accessing the AI quant pipeline, with a minimum deposit and platform fee, enabling scalable revenue from frequent strategy research and backtesting requests.
License the skill to financial platforms or trading tools as an embedded service, offering tiered pricing based on usage volume or features like advanced metrics and strategy code generation.
Provide customized versions of the skill to hedge funds or banks, integrating with their internal systems for proprietary strategy development and charging upfront or ongoing support fees.
💬 Integration Tip
Ensure Python and dependencies are installed, and handle user billing via the provided SDK to manage payments and access control seamlessly.
Scored Jun 17, 2026
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