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. Use when evaluating prediction markets as a data source or oracle signal for a product, agent, or dashboard.
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
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https://deepseekmodel.com/api/download.php?id=affaan-m-ecc-skills-prediction-market-oracle-research-skill-md&format=skill
下载 .skill
标准格式，含 system_prompt 与 model_config，导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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. Use when evaluating prediction markets as a data source or oracle signal for a product, agent, or dashboard. 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 Define the decision the signal is meant to inform. Find relevant markets, events, tags, and venues. Record market-implied probabilities with timestamps and source links. Evaluate signal quality: liquidity spread market age trader/incentive concentration if known resolution authority geography or account restrictions Compare against non-market sources such as filings, news, polls, research, customer data, or internal KPIs. 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: decision context market sources signal quality comparison sources integration recommendation caveats End with: Prediction-market signals are informational inputs, not investment advice.
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下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识（skill/v1） |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类（数组） |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接（本页地址） |
| exported_at | 导出时间（每次下载生成） |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数：provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明（Coze / Dify / Claude / 自定义框架） |
