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Review prediction-market workflows for compliance, safety, privacy, and execution risks.
The material indicates a prompt-only, open-source review skill with no required secrets, no declared remote endpoints, and no described local code execution or data access, so overall risk is low. The main caveat is unclear license and maintenance status, which slightly reduces supply-chain transparency, but the very high community adoption is a strong mitigating factor.
The material explicitly states that no keys or environment variables are required; the README only instructs users not to request, store, or log private keys, seed phrases, passwords, or API keys, and does not show the skill itself handling credentials.
No remote endpoints are declared, and the system marks it as prompt-only; the material shows no behavior of sending user data to external services or connecting to unknown hosts.
This skill is presented as review guidance and an output contract, with no description of spawning local processes, running scripts, or invoking system capabilities; it even requires separate approval for execution-capable steps.
The material does not declare any ability to read or write files, databases, or account data; the README emphasizes minimizing portfolio and financial data and preserving only necessary fields, with no sign of overbroad access.
The source is an open-source GitHub repository with very high community adoption (about 210k stars), which are strong risk-reducing signals; although the license is unspecified and maintenance status is unknown, the available material shows no high-risk red flags such as closed-source exfiltration, abandonment indicators, or malicious injection.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "prediction-market-risk-review" skill from askskill: 1. Download https://raw.githubusercontent.com/affaan-m/ECC/main/skills/prediction-market-risk-review/SKILL.md 2. Save it as ~/.claude/skills/prediction-market-risk-review/SKILL.md 3. Reload skills and tell me it's ready
Please review this prediction-market automation workflow: users connect to a venue with an API key, the system reads portfolio data, calls oracle price feeds, and a trading agent generates order plans. Identify issues, risk levels, trigger conditions, and mitigations across compliance, safety, privacy, data quality, and execution risk.
A structured risk review checklist with key issues, priorities, and remediation steps.
Please assess the reliability of this oracle and market data workflow: the system aggregates multiple price sources, maps them to different market contracts, and feeds the results into trading strategies. Focus on risks such as latency, outliers, source conflicts, symbol-mapping errors, and weak fallback mechanisms.
A data quality and oracle risk report describing weak points and improvement actions.
Please audit how this trading-agent workflow handles sensitive user data, including venue credentials, API keys, account balances, positions, and trade plans. Identify risks around least privilege, key storage, log redaction, access control, and exception handling, then provide actionable remediation guidance.
A privacy and access-control audit with clear fixes and prioritization.
Use this skill before a prediction-market workflow touches user financial context, venue authentication, portfolio data, automation, or execution-capable tools.
ITO_API_KEY and venue API keys out of logs and docs.Return:
If any execution-capable step is requested, require a separate implementation plan and explicit user approval.
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Fetches up-to-date framework docs for setup, APIs, and code examples.
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