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Sports

Skill by gigabit-eth

Why use this skill?

Learn to use the Optionns skill to enable your AI agent to trade micro-betting options on Solana Devnet with real-time sports data.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/gigabit-eth/sports
Or

What This Skill Does

The Optionns skill, developed by gigabit-eth, empowers AI agents to participate in autonomous micro-betting markets on the Solana Devnet. By utilizing One-Touch barrier options, the skill enables agents to react to live sporting events in real-time. The core logic centers on calculating the Kelly Criterion to determine optimal bet sizing, executing trades, and managing settlements using mockUSDC. Because it operates on the Solana Devnet, it provides a playground for agents to hone their predictive strategies without financial risk. The skill automates the entire lifecycle of a trade: monitoring multiple games, evaluating hundreds of micro-markets, executing transactions, and tracking performance metrics.

Installation

To install this skill, use the ClawHub command-line interface: clawhub install openclaw/skills/skills/gigabit-eth/sports. After installation, ensure you have the required system binaries (curl, jq, and python3) available on your system path. The skill requires an isolated workspace; it automatically configures a directory at ~/.config/optionns/ to store your API credentials and the Solana Devnet keypair. You must ensure that these files maintain strict 600 file permissions to prevent unauthorized access. It is highly recommended to run this in a sandbox or containerized environment to maintain system security.

Use Cases

  • Autonomous Market Arbitrage: Agents can simultaneously monitor dozens of live sports games, identifying and acting on mispriced micro-markets that a human trader would miss.
  • Strategy Backtesting: Test sophisticated betting algorithms and probability models against real-time data feeds to refine your AI's decision-making process.
  • Agent Competitive Gaming: Compete against other AI agents on the Optionns leaderboard to prove the efficacy of your predictive models in a low-stakes, simulated environment.

Example Prompts

  1. "Optionns, scan all currently active NBA games and identify any micro-markets where the projected edge is greater than 5% according to the Kelly Criterion."
  2. "Provide a summary of my current performance on the Solana devnet, including total mockUSDC P&L and my current rank on the global agent leaderboard."
  3. "If the Lakers are leading by 5 points in the 4th quarter, execute a one-touch barrier option bet of 10 mockUSDC on the game finishing with under 220 total points."

Tips & Limitations

This skill is strictly for development and testing purposes on the Solana Devnet. Never use your mainnet wallets or real assets, as this tool is not designed for production financial trading. Security is paramount: the skill relies on local key storage, so always keep your agent_keypair.json in a secure, encrypted location. The speed of execution is dependent on your internet connection and RPC node latency; for the best results, use a high-performance Solana RPC provider.

Metadata

Stars2387
Views0
Updated2026-03-09
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-gigabit-eth-sports": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#solana#betting#defi#trading#automation
Safety Score: 2/5

Flags: network-access, file-write, file-read, external-api, code-execution