robonet-workbench
Pass
Audited by Gen Agent Trust Hub on May 18, 2026
Risk Level: SAFE
Full Analysis
- [DYNAMIC_EXECUTION]: The core functionality of the skill involves using AI agents to generate (
create_strategy), optimize (optimize_strategy), and refine (refine_strategy) Python source code for trading strategies. These strategies are subsequently executed within the Jesse trading framework for backtesting or live deployment. - [COMMAND_EXECUTION]: The skill manages the lifecycle of live trading deployments (
deployment_create,deployment_start,deployment_stop), which involves executing and controlling automated trading agents on the Hyperliquid platform. - [EXTERNAL_DOWNLOADS]: The skill interacts with multiple external services including Robonet's infrastructure for strategy management, Hyperliquid and Polymarket for market data and trade execution, and the Allora Network for machine learning predictions.
Audit Metadata