openbrokerHyperliquid trading plugin with background position monitoring and custom automations. Execute market orders, limit orders, manage positions, view funding ra...
Install via ClawdBot CLI:
clawdbot install ya7ya/openbrokerGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
Send → https://app.hyperliquid.xyz/.Calls external URL not in known-safe list
https://www.npmjs.com/package/openbrokerAI Analysis
The external endpoints (Hyperliquid API and npmjs) are consistent with the skill's stated trading purpose and public documentation. The 'UNKNOWN_DATA_SINK' signal appears to be a false positive, as the URL is the official Hyperliquid frontend, not a hidden data exfiltration endpoint. No credential harvesting, hidden instructions, or obfuscation were found.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
A DeFi protocol uses openbroker to run automated market-making strategies on HIP-3 perpetual contracts like xyz:CL or flx:GOLD. The agent monitors funding rates and executes limit orders to capture spreads, with ob_auto_run scripts triggering trades based on real-time market data. This enables passive income generation in niche markets with minimal manual oversight.
A hedge fund employs openbroker to hedge crypto portfolio risks by setting up automated stop-loss and take-profit orders via ob_tpsl on major perps like ETH and BTC. The agent runs ob_funding_scan to avoid high funding costs and uses ob_watcher_status for alerts on liquidation risks, ensuring capital protection during volatile market conditions.
A retail trader builds a custom trading bot using openbroker to execute spot trades on Hyperliquid, leveraging ob_search to discover assets and ob_buy/ob_sell for market orders. The bot integrates ob_candles for technical analysis and ob_auto_run for event-driven scripts, allowing automated trading based on price movements without coding deep API integrations.
A quantitative trading firm uses openbroker to exploit price discrepancies between HIP-3 and main perps, with ob_markets fetching real-time data and ob_limit placing simultaneous orders. The agent runs ob_funding_history to optimize timing and ob_twap for large orders, minimizing slippage while capitalizing on short-term arbitrage opportunities across asset classes.
A company offers a subscription-based platform where users access pre-built openbroker automation scripts for strategies like funding rate arbitrage or portfolio rebalancing. Revenue comes from monthly fees and premium features like advanced ob_auto_run templates, with the tool simplifying Hyperliquid trading for non-technical clients.
A service provider uses openbroker to manage client funds on Hyperliquid, executing trades via API wallets for security. They charge performance fees based on profits generated from strategies like ob_bracket orders or ob_chase, leveraging the agent's monitoring capabilities to deliver consistent returns while minimizing risks.
An educator creates courses and tools around openbroker, teaching users how to trade on Hyperliquid with tutorials on ob_search and ob_funding. Revenue is generated through course sales, affiliate links for funding, and custom script marketplaces, helping beginners navigate complex DEX trading environments effectively.
💬 Integration Tip
Always use ob_search to verify asset tickers before trading, and fall back to CLI commands like openbroker buy --dry for testing to avoid execution errors in production environments.
Scored Apr 19, 2026
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