Casino Bonus Hunter

v1.0.0

Scans 30+ online casinos, calculates the Expected Value of each welcome/reload/cashback bonus using optimal blackjack strategy, adjusts EV by casino reputati...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for mibayy/casino-bonus-hunter.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Casino Bonus Hunter" (mibayy/casino-bonus-hunter) from ClawHub.
Skill page: https://clawhub.ai/mibayy/casino-bonus-hunter
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install casino-bonus-hunter

ClawHub CLI

Package manager switcher

npx clawhub@latest install casino-bonus-hunter
Security Scan
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high confidence
Purpose & Capability
Name/description claim a scanner of 30+ casinos and reputation lookups; the shipped code contains a hard-coded BONUSES list (~30 entries) and a REPUTATION table. There is no network access, no scraping, and no live reputation fetch — so the capability is more of a static aggregator/calculator than a live scanner.
Instruction Scope
SKILL.md describes the calculation, outputs, environment-configurable parameters, and a 6-hour run cadence. The runtime instructions match the behavior of the Python code (calculates EV using house-edge constants, filters by env vars, writes JSON to /tmp). The only scope mismatch is the wording implying dynamic scanning and reputation aggregation when the code uses static lists.
Install Mechanism
No install spec or external package downloads. Code files are included and there are no external dependencies. This is low-risk from an installation perspective.
Credentials
The skill does not require credentials or sensitive env vars. It reads optional configuration env vars (BONUS_MIN_REP, BONUS_MIN_EV, BONUS_TOP_N, BONUS_OUTPUT_FILE) with safe defaults. No access to unrelated secrets or config paths.
Persistence & Privilege
always:false and automaton is scheduled via clawhub.json cron (0 */6 * * *). The skill writes a single output file (default /tmp/casino_bonuses.json). It does not modify other skills or system-wide settings.
Assessment
This skill appears safe: it does not request secrets, install external code, or access the network. Important caveats before installing: (1) despite wording like “scans 30+ casinos” the code uses a static list and static reputation scores — it does not fetch live bonuses or verify current T&Cs, so results can become out of date; (2) it writes output to /tmp/casino_bonuses.json by default — check or change BONUS_OUTPUT_FILE if you have policies about file locations; (3) review the included BONUSES and REPUTATION lists for accuracy and legal/regulatory concerns in your jurisdiction (gambling laws); and (4) if you expected live scraping or automatic reputation updates, this skill does not perform those network operations and would need modification to do so.

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

latestvk973rf6yhmyar4hkz9xbpachhd83bwan
155downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

Casino Bonus Hunter

Ranks casino bonuses by adjusted Expected Value — EV calculated with optimal blackjack strategy (0.3% house edge), then multiplied by a reputation score (0-10) based on CasinoGuru ratings and payout history.

What it does

  1. Evaluates 30+ welcome, reload, and cashback bonuses from crypto and traditional casinos
  2. Calculates EV: bonus - (wagering * house_edge) with optimal strategy
  3. Adjusts EV by reputation: a $400 EV bonus at a shady casino scores lower than a $300 EV bonus at BitStarz (9.2/10)
  4. Outputs ranked JSON + console table

EV Formula

EV_gross = bonus_amount - (bonus * wagering_x / game_contribution * house_edge)
EV_adjusted = EV_gross * (reputation_score / 10)

Example — Stake $500 welcome (40x wagering, blackjack):

  • Real wagering = $20,000
  • Expected loss = $20,000 * 0.3% = $60
  • EV_gross = $500 - $60 = +$440
  • EV_adjusted = $440 * 9.1/10 = +$400 (accounts for Stake's reliability)

Output

Saves to /tmp/casino_bonuses.json with full details per bonus.

Configuration (env vars)

VariableDefaultDescription
BONUS_MIN_REP0Minimum reputation score (e.g., 8 = reputable casinos only)
BONUS_MIN_EV0Minimum EV to include (e.g., 50 = only $50+ EV)
BONUS_TOP_N20Number of top bonuses to return
BONUS_OUTPUT_FILE/tmp/casino_bonuses.jsonOutput file path

Runs every 6 hours (bonus data changes infrequently)

Strategy notes

  • Always play blackjack for wagering (0.3% edge vs 4%+ for slots)
  • Check game contribution — some casinos count blackjack at only 10%
  • Cashback bonuses have wagering x1 = almost free money
  • Filter by BONUS_MIN_REP=8 to avoid unreliable casinos

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