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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.

global
0installs0uses~450
v1.0Saved May 25, 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

82/100

Grade

B

Good

Safety

88

Quality

80

Clarity

81

Completeness

78

Summary

A financial compliance and risk-review checklist designed to audit prediction-market workflows before they handle user data, API keys, or execution capabilities. The skill provides gates for advice boundary, venue/regulatory compliance, data quality, security posture, and privacy controls, requiring a structured output contract (scope, findings, blocked actions, mitigations, next steps).

Detected Capabilities

read compliance requirementsaudit workflow configurationsidentify security boundariesflag regulatory ambiguityvalidate data source labelingdocument mitigation steps

Trigger Keywords

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

prediction market reviewtrading workflow auditcompliance gate checkapi key securityportfolio data audit

Use Cases

  • Audit a prediction-market strategy workflow before enabling portfolio access or trade execution
  • Review oracle and basket configurations for data-quality and freshness issues before feeding to trading agents
  • Validate venue API integrations for regulatory compliance, rate limits, and account restrictions
  • Redact sensitive financial and private data from market analysis artifacts before sharing
  • Establish pre-execution checkpoints for workflows that can place orders or move funds

Quality Notes

  • Skill explicitly prohibits storing credentials, API keys, and passwords — strong security stance
  • Data-quality gate is thorough, distinguishing public venue data from private sources and flagging timestamp staleness
  • Clear execution boundary: execution-capable workflows require separate implementation plan and explicit user approval
  • Output contract is well-defined: agent knows exactly what to produce (scope, findings, blocked actions, mitigations, next step)
  • Privacy gate minimizes data retention and requires redaction of private sources in public artifacts
  • Venue/regulatory boundary appropriately flags ambiguity for legal review rather than making autonomous compliance decisions
  • Security recommendations include circuit breakers, spend limits, dry runs, and human approval — comprehensive defense-in-depth
  • Skill is read-only analysis — no filesystem writes, no shell execution, no outbound requests
  • Some sections could benefit from concrete examples (e.g., 'blocked actions' output format, 'pass/warn/fail' criteria examples)
  • Missing guidance on how to handle venue API versioning or deprecation risks
Model: claude-haiku-4-5-20251001Analyzed: May 25, 2026

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