prediction-market-oracle-research
Research prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence. Use for source-grounded analysis of market-implied probabilities, caveats, and integration patterns without investment advice.
- Kind
- Skill
- Works with
- Claude Code, Codex
- Source
- affaan-m/ECC @ d3b8a3e90890
- Path
- skills/prediction-market-oracle-research/SKILL.md
- License
- MIT
- Jobs
- Review
InstallCopy it from the source repository, or sign in and let the assistant adapt it for your project.
# Prediction Market Oracle Research Use this skill when prediction markets are being considered as a data source, forecasting input, oracle-like signal, or decision-intelligence layer. ## Guardrails - Do not treat market prices as objective truth. - Do not provide investment advice or trading recommendations. - Separate venue mechanics, liquidity, incentives, and resolution rules from the implied signal. - Call out manipulation, thin liquidity, stale markets, and ambiguous outcomes. - For on-chain or execution-linked systems, run `llm-trading-agent-security` before granting any write authority. ## Research Workflow 1. Define the decision the signal is meant to inform. 2. Find relevant markets, events, tags, and venues. 3. Record market-implied probabilities with timestamps and source links. 4. Evaluate signal quality: - liquidity - spread - market age - trader/incentive concentration if known - resolution authority - geography or account restrictions 5. Compare against non-market sources such as filings, news, polls, research, customer data, or internal KPIs. 6. Recommend whether the signal is usable, weak, or unsuitable for the stated decision. …