openclaw-bot-prob-tradeAutonomous trading bot for Polymarket via prob.trade. Run strategies, manage risk, scan markets. Requires the probtrade skill for API access.
Install via ClawdBot CLI:
clawdbot install vlprosvirkin/openclaw-bot-prob-tradeGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses system directories or attempts privilege escalation
sudo cpCalls external URL not in known-safe list
https://github.com/vlprosvirkin/openclaw-bot-prob-tradeUses known external API (expected, informational)
api.anthropic.comAI Analysis
The skill's external API usage (prob.trade/Polymarket) is consistent with its stated trading purpose, and the GitHub URL is expected for open-source code. The SUSPICIOUS_PERMISSIONS signal appears to be a false positive from a generic install script, not active malicious behavior. No evidence of credential harvesting, data exfiltration, or hidden instructions was found.
Generated Mar 22, 2026
A financial institution uses the bot to provide liquidity on Polymarket by running the pair_arb strategy, capturing arbitrage opportunities when YES + NO prices diverge from $1. This reduces spreads and earns guaranteed profits on market resolution, enhancing market efficiency while managing risk with built-in circuit breakers.
A hedge fund deploys the bot to execute contrarian momentum trades on prediction markets, buying undervalued YES shares after price drops. It automates position sizing and enforces daily spend limits, allowing traders to focus on strategy development while the bot handles repetitive scanning and order placement.
A fintech educational platform integrates the bot to teach users about algorithmic trading, using dry-run mode to simulate trades without real money. Students can create custom strategies in Python, test them with the scan command, and analyze risk parameters like max_drawdown_pct in a safe environment.
A media company uses the bot to trade on political or event-based prediction markets, automating bets based on real-time news analysis. By setting a short loop_interval, it quickly reacts to market movements, with risk limits preventing overexposure during volatile events like elections.
A DeFi protocol integrates the bot to diversify assets into prediction markets, using the momentum strategy to capitalize on mean reversion. It manages multiple concurrent positions with max_open_positions, balancing risk across different markets while leveraging the probtrade skill for API access.
Offer the bot as a SaaS platform where users pay a monthly fee for access to advanced strategies, real-time market scans, and automated trading. Revenue comes from tiered subscriptions based on features like custom strategy support or higher risk limits.
Deploy the bot for clients and charge a percentage of the profits generated from trades, aligning incentives with successful outcomes. This model appeals to investors seeking automated trading without upfront costs, with revenue tied to bot performance and risk management.
License the bot technology to financial institutions or trading firms, allowing them to rebrand and customize it for internal use. Revenue is generated through one-time licensing fees or annual contracts, with additional support for integration and strategy development.
💬 Integration Tip
Ensure the probtrade skill is fully configured with API keys before running the bot, and use environment variables like DRY_RUN=true for initial testing to avoid unintended trades.
Scored Jun 19, 2026
Audited Apr 17, 2026 · audit v1.0
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