$ loading_
Research prediction market signals for products, dashboards, agents, and decision intelligence.
The material indicates a prompt-only research skill with no required secrets, no declared remote endpoints, and no local code execution or data-writing behavior. Combined with its GitHub open-source origin and very high community adoption, the overall risk is low, with the main caveat being unclear licensing and maintenance status.
The material explicitly states that no keys or environment variables are required; the README also does not request logins, API tokens, or other sensitive credentials, so there is no direct sign of credential collection, storage, or misuse risk.
The system marks it as prompt-only, and the material declares no remote endpoints; the README only describes a research workflow and output format, with no implementation sign of sending user data to external services.
There are no installation scripts, command execution steps, process launches, or system-call instructions; as a prompt-only skill, it behaves like an analysis template rather than an executable tool, showing no need for local code execution privileges.
The documentation does not declare access to local files, databases, clipboard, browser contents, or internal enterprise resources; the output contract only structures research conclusions and does not indicate data access beyond normal conversational context.
The source is an open-source GitHub repository, and the system flags it as open-source with very high community adoption (about 210.5k stars), which are strong risk-reducing signals. Licensing is undeclared and maintenance status is unknown, but based on the provided material there is no sign of closed-source data exfiltration, suspicious installation chains, or clear supply-chain red flags.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "prediction-market-oracle-research" skill from askskill: 1. Download https://raw.githubusercontent.com/affaan-m/ECC/main/skills/prediction-market-oracle-research/SKILL.md 2. Save it as ~/.claude/skills/prediction-market-oracle-research/SKILL.md 3. Reload skills and tell me it's ready
Research prediction markets related to “Will U.S. inflation fall below 3% next year?” Summarize implied probabilities across major markets, time horizons, settlement criteria, and liquidity differences, then explain how these probabilities could be used as input signals for a corporate macro risk dashboard. Do not provide investment advice.
A source-grounded analysis with probability comparisons, rule differences, caveats, and dashboard integration suggestions.
I’m building an enterprise research agent. Analyze how to integrate prediction markets as an external signal source, including data access methods, refresh frequency, abnormal volatility handling, confidence labeling, and ways to cross-check against news and earnings signals. Provide a high-level architecture outline.
A product-and-engineering integration plan covering workflow design, risk controls, and signal fusion recommendations.
Compare several major prediction markets for enterprise intelligence use cases. Focus on liquidity, manipulation risk, rule transparency, historical calibration, API availability, and regional restrictions, then provide a selection framework for internal decision-support systems.
A comparison report listing platform strengths, weaknesses, fit-for-use scenarios, and selection criteria.
Use this skill when prediction markets are being considered as a data source, forecasting input, oracle-like signal, or decision-intelligence layer.
llm-trading-agent-security
before granting any write authority.Use:
End with:
Prediction-market signals are informational inputs, not investment advice.
Handle returns, refunds, fraud checks, and warranty claim decisions efficiently.
Use Bun for runtime, bundling, testing, packages, and Node migration decisions.
Use the correct Ethereum Keccak-256 hashing in Node.js and TypeScript.
Apply Nuxt 4 patterns for SSR safety, performance, and data fetching.
Generate images, videos, and audio with one unified AI media workflow.
Design Quarkus 3 backend patterns for messaging, APIs, data, and async workflows.
Access prediction market data and crowd probability forecasts for research and decisions.
Research prediction markets and produce source-grounded intelligence briefings without trading advice.
Review prediction-market workflows for compliance, safety, privacy, and execution risks.
Access live prediction market prices, odds, and order books from AI agents.
Conduct market research and competitive analysis with sourced, decision-ready summaries.
Access live prediction market search, odds, trends, and arbitrage via MCP.