Données & RechercheSûr100100/100
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.
ou envoie-le directement à ton agent.
Installer dans ton projet
$ npx arboris-cli@latest install prediction-market-oracle-researchaffaan-m
affaan-m/ECC
Contenu à copier
--- name: prediction-market-oracle-research description: 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. metadata: origin: ECC --- # 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. ## Integration Patterns - Research assistant: source-grounded context for a human analyst. - Dashboard signal: market-implied probability alongside internal metrics. - Agent memory input: a time-stamped signal that can be retrieved later. - Alerting input: notify when probabilities, spreads, or liquidity cross a threshold. - Scenario planning: compare multiple event outcomes without automating trades. ## Output Contract Use: 1. decision context 2. market sources 3. signal quality 4. comparison sources 5. integration recommendation 6. caveats End with: ```text Prediction-market signals are informational inputs, not investment advice. ```
Colle ce Markdown dans ton agent ou utilise les boutons ci-dessus pour l’écrire dans ton projet.
Ce que fait Prediction Market Oracle Research
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
Call out manipulation, thin liquidity, stale markets, and ambiguous outcomes.
Comment utiliser Prediction Market Oracle Research
1
Copie le prompt
Un clic copie le prompt packagé (ou l'envoie à ton agent).
2
L'agent installe le skill
Il ajoute le SKILL.md et ses ressources à ton projet.
3
Activation automatique
Le skill s'active dès que le contexte correspond.
Déclencheurs pour Prediction Market Oracle Research
Dis simplement à ton agent quelque chose comme :
Applique le skill prediction-market-oracle-research à cette tâche
Utilise prediction-market-oracle-research pour améliorer cette implémentation
Passe en revue ce sujet avec prediction-market-oracle-research