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CLAWDEBET

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.

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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.

⬇ 0 downloads β˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, scripts/recommend.py, scripts/analyze.py, examples/basic-usage.md, examples/strategies.md, config/default.json

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 14 sections Open source page

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 MethodCrashHistorical crashpoint analysis, multiplier patternsDiceProbability optimization, streak detectionLimboTarget multiplier recommendationsSlidePattern recognition

Files Included

claw-betting-ai/ β”œβ”€β”€ SKILL.md # This file β”œβ”€β”€ config/ β”‚ └── default.json # Default configuration β”œβ”€β”€ scripts/ β”‚ β”œβ”€β”€ analyze.py # Crash history analyzer β”‚ └── recommend.py # Bet recommendation engine └── examples/ β”œβ”€β”€ 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

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

Disclaimer

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.

Links

Website: https://clawde.xyz Support: Contact via website

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
3 Docs2 Scripts1 Config
  • SKILL.md Primary doc
  • examples/basic-usage.md Docs
  • examples/strategies.md Docs
  • scripts/analyze.py Scripts
  • scripts/recommend.py Scripts
  • config/default.json Config