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prediction-market-risk-review

by @affaan-mv
4.3(120)

该技能用于在预测市场、篮子、预言机及交易代理工作流执行前,自动审查合规性、安全性、数据质量、隐私及执行风险,确保不触碰用户金融上下文、场所认证、投资组合数据等敏感信息。价值:避免违规和损失,提供安全下一步建议。

risk-reviewcomplianceprediction-marketsecurityprivacyGitHub
安装方式
npx skills add https://github.com/affaan-m/ecc --skill prediction-market-risk-review
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Before / After 效果对比

1
使用前

在没有这个技能之前,团队需要手动逐项检查预测市场工作流的合规性、安全性、数据质量等,平均耗时4小时,且容易遗漏关键风险点,错误率高达30%。

使用后

使用该Skill后,自动执行审查门禁,0.5小时内完成全面检查,错误率降至5%,确保工作流安全合规。

SKILL.md

Prediction Market Risk Review

Use this skill before a prediction-market workflow touches user financial context, venue authentication, portfolio data, automation, or execution-capable tools.

Review Gates

Advice Boundary

  • Confirm the output is informational.
  • Remove buy/sell/hold/size recommendations.
  • Keep manual user decision points explicit.

Venue And Regulatory Boundary

  • Identify venue terms, geography restrictions, account limits, and API rules.
  • Flag betting, derivatives, securities, or commodities ambiguity for legal review when relevant.
  • Do not bypass venue restrictions or rate limits.

Data Quality

  • Check market liquidity, spread, resolution rules, stale prices, and source timestamps.
  • Separate public venue data from Itô gated data.
  • Do not mix public and private sources without labels.

Security

  • Do not request or store private keys, seed phrases, or passwords.
  • Keep ITO_API_KEY and venue API keys out of logs and docs.
  • Use read-only scopes by default.
  • Require circuit breakers, spend limits, dry runs, and human approval before any private implementation adds execution.

Privacy

  • Minimize user portfolio, financial, and knowledge-base data.
  • Redact private sources in public artifacts.
  • Preserve only the fields needed for the review.

Output Contract

Return:

  1. scope reviewed
  2. pass/warn/fail findings
  3. blocked actions
  4. required mitigations
  5. safe next step

If any execution-capable step is requested, require a separate implementation plan and explicit user approval.

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统计数据

安装量1.2K
评分4.3 / 5.0
版本
更新日期2026年7月27日
对比案例1 组

用户评分

4.3(120)
5
37%
4
43%
3
13%
2
5%
1
2%

为此 Skill 评分

0.0

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时间线

创建2026年7月26日
最后更新2026年7月27日
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