skills$openclaw/claw-betting-ai
eyeshaw9.9k

by eyeshaw

claw-betting-ai – OpenClaw Skill

claw-betting-ai is an OpenClaw Skills integration for data analytics workflows. AI-powered betting advisory for gaming platforms. Provides intelligent bet recommendations, risk analysis, bankroll management, and strategy optimization for crash games, dice, and casino games. Use when building automated betting bots or need AI gambling strategy guidance.

9.9k stars3.6k forksSecurity L1
Updated Feb 7, 2026Created Feb 7, 2026data analytics

Skill Snapshot

nameclaw-betting-ai
descriptionAI-powered betting advisory for gaming platforms. Provides intelligent bet recommendations, risk analysis, bankroll management, and strategy optimization for crash games, dice, and casino games. Use when building automated betting bots or need AI gambling strategy guidance. OpenClaw Skills integration.
ownereyeshaw
repositoryeyeshaw/clawde
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @eyeshaw/clawde
last updatedFeb 7, 2026

Maintainer

eyeshaw

eyeshaw

Maintains claw-betting-ai in the OpenClaw Skills directory.

View GitHub profile
File Explorer
10 files
.
config
default.json
1.2 KB
examples
basic-usage.md
4.0 KB
strategies.md
4.7 KB
scripts
analyze.py
4.4 KB
recommend.py
7.9 KB
_meta.json
268 B
SKILL.md
3.3 KB
SKILL.md

name: claw-betting-ai description: AI-powered betting advisory for gaming platforms. Provides intelligent bet recommendations, risk analysis, bankroll management, and strategy optimization for crash games, dice, and casino games. Use when building automated betting bots or need AI gambling strategy guidance. website: https://clawde.xyz

CLAW Betting AI Advisory

AI-powered betting advisory system for gaming platforms like Stake.com. Provides intelligent recommendations based on historical data analysis, risk tolerance, and proven betting strategies.

Website: https://clawde.xyz

Features

  • Smart Bet Recommendations: AI-analyzed optimal bet amounts and timing
  • Crash Game Analysis: Historical pattern analysis for crash games
  • Risk Management: Dynamic stop-loss and take-profit suggestions
  • Bankroll Protection: Kelly Criterion and flat betting strategies
  • Multi-Strategy Support: Martingale, Anti-Martingale, Fibonacci, D'Alembert

Quick Start

# Install the skill
clawhub install claw-betting-ai

# Configure your settings
cp config/default.json config/local.json
# Edit config/local.json with your preferences

Supported Games

GameAnalysis Method
CrashHistorical crashpoint analysis, multiplier patterns
DiceProbability optimization, streak detection
LimboTarget multiplier recommendations
SlidePattern recognition

Files Included

claw-betting-ai/
├── SKILL.md              # This file
├── config/
│   └── default.json      # Default configuration
├── scripts/
│   ├── analyze.py        # Crash history analyzer
│   └── recommend.py      # Bet recommendation engine
└── examples/
    ├── basic-usage.md    # Getting started guide
    └── strategies.md     # Strategy documentation

Configuration

See config/default.json for all available options:

  • strategy: betting strategy (conservative/balanced/aggressive)
  • bankroll: starting bankroll amount
  • baseBetPercent: base bet as % of bankroll
  • stopLoss: stop-loss threshold
  • takeProfit: take-profit target
  • maxBets: maximum bets per session

Core Strategies

1. Conservative (Low Risk)

  • Target: 1.5x - 2x multipliers
  • Win rate: ~50-65%
  • Max 1% bankroll per bet

2. Balanced (Medium Risk)

  • Target: 2x - 5x multipliers
  • Win rate: ~25-45%
  • Max 2% bankroll per bet

3. Aggressive (High Risk)

  • Target: 5x - 20x multipliers
  • Win rate: ~5-15%
  • Max 5% bankroll per bet

API Reference

See examples/basic-usage.md for full API documentation.

Get Recommendation

from scripts.recommend import get_recommendation

result = get_recommendation(
    bankroll=100,
    strategy="balanced",
    recent_history=[1.2, 3.5, 1.8, 2.1, 5.2]
)
# Returns: { shouldBet: true, amount: 2.0, target: 2.5, confidence: 72 }

Safety Features

  • Tilt Detection: Warns when betting patterns indicate emotional decisions
  • Session Limits: Enforces time and loss limits
  • Profit Locking: Auto-protects portion of winnings
  • Reality Checks: Periodic reminders

This is an advisory system only. Gambling involves risk of loss. Never bet more than you can afford to lose. Past patterns do not guarantee future results.

README.md

No README available.

Permissions & Security

Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.

Requirements

  • OpenClaw CLI installed and configured.
  • Language: Markdown
  • License: MIT
  • Topics:

Configuration

See `config/default.json` for all available options: - `strategy`: betting strategy (conservative/balanced/aggressive) - `bankroll`: starting bankroll amount - `baseBetPercent`: base bet as % of bankroll - `stopLoss`: stop-loss threshold - `takeProfit`: take-profit target - `maxBets`: maximum bets per session

FAQ

How do I install claw-betting-ai?

Run openclaw add @eyeshaw/clawde in your terminal. This installs claw-betting-ai into your OpenClaw Skills catalog.

Does this skill run locally or in the cloud?

OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.

Where can I verify the source code?

The source repository is available at https://github.com/openclaw/skills/tree/main/skills/eyeshaw/clawde. Review commits and README documentation before installing.