Robonet

Use Robonet's MCP server to build, backtest, optimize, and deploy trading strategies. Provides 24 specialized tools for crypto and prediction market trading: (1) Data tools for browsing strategies, symbols, indicators, Allora topics, and backtest results, (2) AI tools for generating strategy ideas and code, optimizing parameters, and enhancing with ML predictions, (3) Backtesting tools for testing strategy performance on historical data, (4) Prediction market tools for Polymarket trading strategies, (5) Deployment tools for live trading on Hyperliquid, (6) Account tools for credit management. Use when: building trading strategies, backtesting strategies, deploying trading bots, working with Hyperliquid or Polymarket, or enhancing strategies with Allora Network ML predictions.

This skill appears to do what it says (build/backtest/deploy trading strategies) but it does not declare how it will authenticate or bill for operations that require wallet access and money. Before installing: 1) Ask the publisher (or registry owner) for the authentication flow — what credentials are required, where private keys live, and whether you must provide them. 2) Confirm billing: who pays LLM/mcp costs and how payments/credits are charged. 3) Do not provide private keys or long-lived secrets unless you verify the server, source code, and privacy/billing policies. 4) Ask for a public homepage/repo or contact and for proof the MCP server is operated by a trusted party. 5) If you test, use read-only operations and very small test funds; require explicit, manual approval before any production deployment or wallet interaction. Because this is instruction-only, there is no code to audit locally — that increases the importance of external provenance and clear credential handling.

Type: OpenClaw Skill Name: robonet-workbench Version: 0.1.0 This skill bundle is classified as suspicious due to its inherent high-risk capabilities, specifically the ability to deploy live trading agents that manage real funds on platforms like Hyperliquid via the `deployment_create` tool, and the ability to generate and modify Python code for trading strategies using tools like `create_strategy` and `refine_strategy`. While these capabilities are central to the skill's stated purpose of building and deploying trading strategies, they represent a significant potential for financial harm if misused by a malicious user prompt or if the agent is compromised. The `SKILL.md` and `shared-references/tool-catalog.md` files clearly document these powerful, but risky, functionalities.