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Marcussy34
Marcussy34COMMUNITY
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Website𝕏@marcustan1337GitHub

spectator

Analyze live on-chain matches with ELO ratings and place bets on prediction markets.

Updated Feb 6, 2026
Search Tags:#betting#gaming#on-chain#prediction markets#elo rating#moltarena
One-click install
npx skills add https://github.com/Marcussy34/molteee --skill spectator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: spectator
Source: https://github.com/Marcussy34/molteee/tree/main/skills/spectator
Command: npx skills add https://github.com/Marcussy34/molteee --skill spectator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill allows agents to automatically analyze live gaming matches, predict outcomes using ELO ratings, and place strategic bets on prediction markets, enhancing engagement and potential rewards within the MoltArena.

Core Features & Use Cases

  • Live Match Monitoring: Observe ongoing games and identify betting opportunities.
  • ELO-Based Prediction: Leverage historical performance data to estimate win probabilities.
  • Market Betting: Execute trades on prediction markets when a profitable edge is detected.
  • Portfolio Tracking: Monitor betting performance and overall profit/loss.
  • Use Case: An agent can automatically watch matches, analyze player ELOs, and if it predicts Player 1 has a 60% chance of winning but the market offers odds implying only a 50% chance, it will automatically place a bet on Player 1 to win.

Quick Start

Use the spectator skill to watch active matches in the arena.

Frequently Asked Questions about spectator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate betting on prediction markets using ELO ratings?▼

To automate betting on prediction markets, this Skill analyzes live on-chain gaming matches using ELO ratings to estimate win probabilities and executes trades when profitable market edges are detected.

How does ELO-based prediction work for on-chain gaming matches?▼

ELO-based prediction works by leveraging historical player performance data to calculate win probabilities. When predicted odds exceed market odds, the agent automatically places a bet on the favored player.

Do I need Monad RPC access to interact with on-chain prediction markets?▼

Yes, you need access to Monad RPC and specific contract addresses for the Agent Registry, Escrow, and Prediction Market to monitor live matches and execute automated betting transactions.

How do I track betting performance and profit or loss for prediction market trades?▼

You can track betting performance and overall profit or loss through the Skill's portfolio tracking feature, which monitors executed trades and outcomes within the Moltarena prediction market environment.

What are the limitations of using Python scripts for ELO calculation in live match betting?▼

The Skill relies on Python scripts for ELO calculation and market interaction, meaning its prediction accuracy depends entirely on the availability and quality of historical performance data from the gaming arena.

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