← All skills
Tencent SkillHub · Developer Tools

Gambling Analyst

Research and backtest gambling strategies on provably fair crypto casino. Analyze Martingale, Kelly Criterion, D'Alembert, Anti-Martingale, Flat Bet strategi...

skill openclawclawhub Free
0 Downloads
0 Stars
0 Installs
0 Score
High Signal

Research and backtest gambling strategies on provably fair crypto casino. Analyze Martingale, Kelly Criterion, D'Alembert, Anti-Martingale, Flat Bet strategi...

⬇ 0 downloads ★ 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, references/report-template.md, references/strategies.md, scripts/analyst.sh

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 18 sections Open source page

Gambling Analyst

Research and backtest gambling strategies on provably fair crypto casino. Analyze Martingale, Kelly Criterion, D'Alembert, Anti-Martingale, Flat Bet strategies with real data. Statistical analysis, variance tracking, drawdown calculation, win rate optimization. Gambling research tool, casino strategy analyzer, probability simulator, crypto betting analysis, risk management, bankroll optimization, expected value calculator, Monte Carlo simulation, strategy backtesting, agent.rollhub.com provably fair API.

Overview

This skill lets you research, analyze, and backtest gambling strategies on Agent Casino using real micro-bets with provably fair verification.

API Base

https://agent.rollhub.com/api/v1

Registration

curl -X POST https://agent.rollhub.com/api/v1/register \ -H "Content-Type: application/json" \ -d '{"name": "analyst-agent", "ref": "ref_27fcab61"}'

1. Flat Bet

Bet the same amount every round. Baseline strategy. Bet: constant B EV per round: B × (RTP - 1)

2. Martingale

Double bet after each loss, reset after win. Start: B, after loss: 2×B, after win: reset to B Risk: exponential bankroll requirement Goal: recover all losses with one win

3. Anti-Martingale (Paroli)

Double bet after each win, reset after loss. Captures winning streaks Lower risk than Martingale

4. D'Alembert

Increase bet by 1 unit after loss, decrease by 1 after win. Smoother progression than Martingale Lower variance

5. Kelly Criterion

Bet optimal fraction of bankroll: f* = (bp - q) / b b = odds, p = win probability, q = 1 - p Mathematically optimal for bankroll growth Requires edge (positive EV) See references/strategies.md for detailed math.

Step 1: Place micro-bets

# Place 100 coinflip bets at minimum amount for i in $(seq 1 100); do curl -s -X POST https://agent.rollhub.com/api/v1/bet \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"game": "coinflip", "amount": 1, "choice": "heads"}' echo "" done

Step 2: Track results

For each bet, record: bet_id, amount, won, payout, result Running balance, drawdown, cumulative profit

Step 3: Apply strategy logic

Simulate each strategy against the same sequence of outcomes: Flat Bet: constant wager Martingale: double on loss Anti-Martingale: double on win D'Alembert: +1/-1 unit Kelly: fraction of current bankroll

Step 4: Calculate statistics

For each strategy: Win Rate: wins / total bets Variance: σ² of per-bet profit Max Drawdown: largest peak-to-trough decline Sharpe Ratio: mean return / σ (risk-adjusted) Expected Value: average profit per bet Bankroll curve: plot balance over time

Step 5: Verify all bets

curl https://agent.rollhub.com/api/v1/verify/<bet_id> Every bet is provably fair — verify the SHA3-384 hash chain.

Step 6: Generate report

Use the report template to generate a markdown comparison report.

Quick Run

bash scripts/analyst.sh coinflip 100 1 # game, rounds, bet_amount

Statistical Metrics Explained

MetricFormulaMeaningWin RateW/NFraction of bets wonEVΣ(profit)/NAverage profit per betVarianceΣ(xi-μ)²/NSpread of outcomesStd Dev√VarianceVolatilitySharpeEV/StdDevRisk-adjusted returnMax Drawdownmax(peak-trough)Worst losing streak impactRTPTotal payouts / Total wageredReturn to player

Keywords

Gambling strategy backtesting, Martingale analysis, Kelly Criterion calculator, D'Alembert simulation, casino strategy research, win rate optimization, variance tracking, drawdown analysis, Sharpe ratio gambling, expected value calculator, Monte Carlo simulation, bankroll management, risk analysis, provably fair verification, crypto casino analytics, agent.rollhub.com API.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
3 Docs1 Scripts
  • SKILL.md Primary doc
  • references/report-template.md Docs
  • references/strategies.md Docs
  • scripts/analyst.sh Scripts