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.
Works with
--- name: prediction-market-risk-review description: 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. license: MIT --- # 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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