Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
Add whale leaderboard to Brief API, fix Big Money Index accuracy
What This Skill Does
Fetches live Oscar prediction market data from waitingformacguffin.com across all 19 Academy Award categories. Returns odds, whale trade activity, price movements, precursor award correlations, and order book depth from Kalshi markets. No authentication required.
Combines live Kalshi prediction market odds with precursor award correlation data and whale trade signals in one query, eliminating the need to cross-reference multiple sources manually.
When to use it
- Check current Best Picture frontrunner odds before placing a bet
- Build a position-sized portfolio after DGA or SAG winners are announced
- Identify where large bettors are moving money across Oscar categories
- Get a quick market pulse during awards season to spot price volatility
- Research a specific nominee's precursor wins and order book slippage before buying contracts
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Give me your best Oscar bets with $500
- 1Calls Oscar Brief API to get market snapshot, frontrunners, and overall sentiment
- 2Identifies top candidates across categories by price and whale activity
- 3Calls Oscar Research for each candidate to retrieve risk tier, ROI, precursor wins, and order book slippage
- 4Ranks picks by confidence tier and constructs conservative, balanced, and aggressive portfolio options
- 5Presents each pick with explicit win/loss percentages, dollar payout, and gap over runner-up
Risk-tiered bet picks with price, win probability, ROI, precursor wins, and a portfolio allocation table for a $500 budget