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.

README (SKILL.md)

CLAW Betting AI Advisory

Name: CLAWDEBET
Author: eyeshaw

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

Game	Analysis Method
Crash	Historical crashpoint analysis, multiplier patterns
Dice	Probability optimization, streak detection
Limbo	Target multiplier recommendations
Slide	Pattern 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

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

Usage Guidance

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.

Capability Analysis

Type: OpenClaw Skill Name: clawde Version: 1.0.0 The OpenClaw AgentSkills skill bundle 'clawde' is classified as benign. All files, including Python scripts and markdown documentation, are clearly aligned with the stated purpose of providing AI-powered betting advisory. The Python scripts (`analyze.py`, `recommend.py`) perform mathematical calculations based on provided input and internal configuration (`config/default.json`) without any high-risk operations such as network requests, arbitrary file system access, or command execution. The markdown files (`SKILL.md`, `examples/*.md`) contain standard installation and usage instructions for the skill and do not exhibit any prompt injection attempts or instructions for the AI agent to perform malicious actions. No evidence of data exfiltration, persistence, obfuscation, or other malicious indicators was found.

Capability Assessment

✓ 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).

ℹ 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.

ℹ 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.

Version History

v1.0.0

Initial release of CLAWDEBET. This skill provides AI-assisted betting analysis and recommendations using a strict advisory-only model. Includes session-aware analysis, bankroll management, risk controls, and strategy configuration. All recommendations are non-executing and designed for decision support only.

Metadata

Slug clawde

Version 1.0.0

License —

All-time Installs 1

Active Installs 1

Total Versions 1

Frequently Asked Questions

What is 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. It is an AI Agent Skill for Claude Code / OpenClaw, with 1700 downloads so far.

How do I install CLAWDEBET?

Run "/install clawde" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is CLAWDEBET free?

Yes, CLAWDEBET is completely free (open-source). You can download, install and use it at no cost.

Which platforms does CLAWDEBET support?

CLAWDEBET is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created CLAWDEBET?

It is built and maintained by eyeshaw (@eyeshaw); the current version is v1.0.0.

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