goalnad-oracle

Predict and publish EPL and Serie A match outcomes on-chain with 1X2 results and exact scores.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/zvsvev/goalnad --skill goalnad-oracle
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: goalnad-oracle
Source: https://github.com/zvsvev/goalnad/tree/main/agents/openclaw-skills/goalnad-oracle
Command: npx skills add https://github.com/zvsvev/goalnad --skill goalnad-oracle

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

GoalNad Oracle provides automated, trustworthy on-chain predictions for football matches, combining data-driven insights with blockchain posting to enhance transparency and engagement.

Core Features & Use Cases

  • Predicts a 1X2 outcome and an exact score for EPL and Serie A matches.
  • Writes a concise 2-3 sentence analysis based on standings, form, and head-to-head data.
  • Publishes predictions on-chain and posts analysis to Moltbook to invite challengers and supporters.
  • Runs in a continuous loop, scanning for matches at least seven days away, applying rate limits, and handling edge cases.

Quick Start

Set up the GoalNad Oracle to fetch upcoming matches, compute predictions with your scoring model, and publish results on-chain while posting analysis to Moltbook.

Frequently Asked Questions about goalnad-oracle

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

FAQPage Schema
How do I automate on-chain football match predictions for EPL and Serie A?

You can automate on-chain football predictions by scanning upcoming EPL and Serie A matches, gathering standings and form data, and publishing 1X2 outcomes with exact scores directly to the blockchain.

What data is used to generate on-chain football match predictions?

On-chain football predictions are generated using standings, team form, and head-to-head data to compute a 1X2 result and exact score, accompanied by a concise analysis.

Can I post prediction analysis to Moltbook automatically after publishing on-chain?

Yes, after publishing predictions on-chain, the system automatically posts the concise analysis to Moltbook to invite challengers and supporters for the match.

How does automated prediction handle football match postponements or data gaps?

The automated prediction system handles edge cases like postponements or data gaps by continuously scanning for matches and updating predictions while applying rate limits and logging operations.

Do I need to manually schedule tasks to scan upcoming football matches for predictions?

No manual scheduling is needed; the system runs in a continuous loop to scan for matches at least seven days away, apply rate limits, and update predictions automatically.