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Casino Bonus Hunter

作者 Mibayy · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install casino-bonus-hunter
功能描述
Scans 30+ online casinos, calculates the Expected Value of each welcome/reload/cashback bonus using optimal blackjack strategy, adjusts EV by casino reputati...
使用说明 (SKILL.md)

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)

Variable Default Description
BONUS_MIN_REP 0 Minimum reputation score (e.g., 8 = reputable casinos only)
BONUS_MIN_EV 0 Minimum EV to include (e.g., 50 = only $50+ EV)
BONUS_TOP_N 20 Number of top bonuses to return
BONUS_OUTPUT_FILE /tmp/casino_bonuses.json Output 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
安全使用建议
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static list and static reputation scores — it does not fetch live bonuses or verify current T&Cs, so results can become out of date; (2) it writes output to /tmp/casino_bonuses.json by default — check or change BONUS_OUTPUT_FILE if you have policies about file locations; (3) review the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.
功能分析
Type: OpenClaw Skill Name: casino-bonus-hunter Version: 1.0.0 The skill is a specialized calculator designed to rank online casino bonuses based on mathematical Expected Value (EV) and reputation scores. The logic in casino_bonus_hunter.py and ev_calculator.py is purely computational, using hardcoded data and environment variables for configuration without performing any network requests, sensitive file access, or unauthorized command execution.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install casino-bonus-hunter
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /casino-bonus-hunter 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: 30+ casinos, EV calc + reputation scoring, welcome/reload/cashback
元数据
Slug casino-bonus-hunter
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Casino Bonus Hunter 是什么?

Scans 30+ online casinos, calculates the Expected Value of each welcome/reload/cashback bonus using optimal blackjack strategy, adjusts EV by casino reputati... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 157 次。

如何安装 Casino Bonus Hunter?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install casino-bonus-hunter」即可一键安装,无需额外配置。

Casino Bonus Hunter 是免费的吗?

是的,Casino Bonus Hunter 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Casino Bonus Hunter 支持哪些平台?

Casino Bonus Hunter 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Casino Bonus Hunter?

由 Mibayy(@mibayy)开发并维护,当前版本 v1.0.0。

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