CLAWDEBET

v1.0.0

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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Purpose & Capability
Name/description match the included code and docs: analyze.py computes crash-game statistics and recommend.py returns bet recommendations and bankroll/risk logic. The scripts implement the advertised features (recommendations, bankroll/risk handling, multiple strategies).
Instruction Scope
Runtime instructions and examples are within the skill's scope (how to copy config, call analysis and recommendation functions). However, there's a notable documentation mismatch: several SKILL.md examples show a simplified get_recommendation(...) signature (only bankroll/strategy/history) while scripts/recommend.py require additional arguments (current_balance, session_profit, consecutive_losses). Examples also reference 'clawhub install' and a ~/.agent/skills path without an accompanying install spec or explanation of the 'clawhub' tool — this is an inconsistency in usage docs that could cause runtime confusion.
Install Mechanism
There is no install spec (instruction-only), and all code is included in the package (two Python scripts, config and docs) — no external downloads or package installs. Minor gap: the skill contains Python code but does not declare Python as a required binary/runtime; the SKILL.md suggests using 'clawhub install' even though no install mechanism is provided in the bundle.
Credentials
The skill does not request environment variables, credentials, or config paths. The code reads a local config JSON file packaged with the skill; there are no network calls or references to external tokens or secrets in the source files.
Persistence & Privilege
The skill is not forced-always (always:false) and uses no special system-wide privileges or modification of other skills. It does not store credentials or assert persistent elevated presence.
Assessment
This skill appears to do what it says (local analysis and bet recommendations) and does not request secrets or call external endpoints from the included code. Before installing: 1) Be aware the documentation has small inconsistencies — the example API calls omit required parameters present in the code (current_balance, session_profit, consecutive_losses). Test the functions locally to confirm the correct call signature. 2) The package contains Python scripts but does not declare Python as a required runtime or provide an installer; ensure your agent environment has a compatible Python interpreter and place files so their relative config path (config/default.json) is preserved. 3) The SKILL.md mentions a 'clawhub install' command and a website (clawde.xyz) but there is no bundled installer or verified homepage; treat those as informational only. 4) This skill advises on gambling — it does not eliminate risk; only use with caution and in jurisdictions where gambling-related automation is permitted. If you need higher assurance, run the scripts in a sandbox, review the code yourself, and confirm how the skill will be installed and invoked by your agent before granting it autonomous execution.

Like a lobster shell, security has layers — review code before you run it.

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1.7kdownloads
2stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

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

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

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