Optionns Trader

What This Skill Does

The Optionns Trader skill is an advanced automation tool designed to turn your AI agent into a high-frequency sports micro-betting machine. Built by gigabit-eth for the OpenClaw ecosystem, this skill leverages the Solana devnet to allow agents to interact with One-Touch barrier options on live sporting events. Unlike manual trading, an AI equipped with this skill can monitor over a dozen concurrent games, perform real-time probability assessments using the Kelly Criterion, and execute trades with sub-two-second latency. It provides a complete pipeline from market analysis and automated transaction signing to P&L tracking and leaderboard participation, all using mockUSDC for safe, simulated financial experimentation.

Installation

To integrate this skill into your OpenClaw agent, execute the following command in your terminal: clawhub install openclaw/skills/skills/gigabit-eth/optionns-trader. Ensure that you have curl, jq, and python3 (>=3.8) installed on your system. Once installed, the skill will automatically initialize the ~/.config/optionns/ directory. You must ensure this directory has strict 600 permissions. Place your devnet credentials and agent keypairs securely within this path. Dependencies including solders and httpx must be satisfied via the requirements.txt file before the agent can successfully sign transactions on the Solana Devnet.

Use Cases

This skill is designed for quantitative finance enthusiasts and AI researchers exploring autonomous agentic workflows. Use cases include testing automated betting strategies against live data feeds, building leaderboard-climbing agents that optimize for risk-adjusted returns, and stress-testing the latency of autonomous trade execution engines. It is the ideal sandbox for learning how to bridge AI decision-making with decentralized ledger technology.

Example Prompts

1. "Analyze all active soccer markets for favorable odds and execute a micro-bet on the current match if the edge exceeds 5% based on the Kelly Criterion."
2. "Monitor the current NBA game and report back the real-time P&L of my active positions, then summarize the current leaderboard status."
3. "Adjust my trading strategy to be more conservative for the remaining afternoon games, capping the max spend per micro-option at 5 mockUSDC."

Tips & Limitations

This skill is explicitly for Solana Devnet only. Never attempt to use real mainnet wallets or actual capital, as the skill is designed for simulation and testing purposes. Always verify the API endpoint at https://api.optionns.com and inspect the scripts/ folder within the source repo before granting the agent autonomous permission to sign transactions. Because the agent monitors 12+ games simultaneously, ensure your machine has a stable network connection to maintain uptime and avoid missed execution windows.