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affaan-m/prediction-market-risk-review

affaan-m

prediction-market-risk-review

Review prediction-market, basket, oracle, and trading-agent workflows for compliance, safety, data-quality, privacy, and execution risk. Use before any workflow handles venue auth, user portfolio data, API keys, or trade planning.

New~450Updated Jul 14, 2026

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.

Files1
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Overall Score

86/100

Grade

A

Excellent

Safety

92

Quality

82

Clarity

88

Completeness

76

Summary

This skill provides a risk-review checklist for prediction-market and trading-agent workflows, focusing on compliance, safety, data quality, privacy, and execution risk. It acts as a gating mechanism to be applied before workflows touch financial data, venue authentication, or execution-capable tools, outputting a structured review with findings and required mitigations.

Detected Capabilities

document review and analysiscompliance checklist applicationdata quality assessmentrisk classificationsecurity policy validation

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

prediction market compliancetrading agent safety reviewvenue authentication auditfinancial data risk gateexecution workflow checklist

Use Cases

  • Audit prediction-market workflows for regulatory compliance before implementation
  • Review trading-agent configuration for security, data quality, and API access controls
  • Validate oracle and basket-pricing workflows for data source separation and staleness
  • Gate execution-capable financial tools with compliance and privacy checks
  • Identify required mitigations before handling user portfolio or venue authentication data

Quality Notes

  • Well-scoped purpose: the skill is explicitly designed as a gating check before execution, not to execute itself
  • Clear security guardrails documented: no private keys, no credential logging, read-only defaults, circuit breakers required
  • Output contract is specific and actionable: scope, findings, blocked actions, mitigations, next step
  • Privacy and data minimization principles are explicit
  • Regulatory boundary is clearly stated — ambiguous legal issues are flagged for review rather than resolved in the skill itself
  • Comprehensive review categories (advice, venue, data quality, security, privacy) cover major risk domains
  • The skill correctly positions itself as informational and advisory, deferring execution decisions to users
  • No implementation details or workflows — the skill is purely a review/validation gate
  • Documentation is concise and non-prescriptive, leaving detailed interpretation to domain experts
Model: claude-haiku-4-5-20251001Analyzed: Jul 14, 2026

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Version History

  1. v1.1

    Content updated

    ✦ AIContent updated with improved safety posture.

    2026-07-14

    Latest
  2. v1.0

    2026-05-25

    View This VersionInitial version

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