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预测市场预言机研究

将预测市场作为产品、Agent、仪表盘及企业决策智能的数据源或预言机信号进行研究。用于基于来源的市场隐含概率、注意事项及集成模式分析,不提供投资建议。在评估预测市场作为产品、Agent或仪表盘的数据源或预言机信号时使用。

预测市场预言机研究 是什么?

该技能旨在帮助开发者和AI Agent用户系统性地评估预测市场作为数据源或预言机信号的适用性。它通过一个结构化的工作流程,指导用户定义决策目标、查找相关市场事件、记录带时间戳和来源链接的市场隐含概率,并评估信号质量(包括流动性、价差、市场年龄、交易者/激励集中度和解析权威性)。技能还要求将预测市场信号与非市场来源(如文件、新闻、民意调查、研究、客户数据或内部KPI)进行对比分析,最终给出信号是否可用、较弱或不适合的建议。该技能支持多种集成模式,如研究助手、仪表盘信号、Agent记忆输入和警报输入,并强调交易机制、流动性、激励和解析规则应与隐含信号分离。它适用于Claude Code、Cursor等AI代理平台,并能输出结构化的决策上下文、市场来源、信号质量评估、对比来源和集成建议,同时明确警示市场信号仅为信息输入,不构成投资建议。

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/prediction-market-oracle-research

在你喜欢的 AI 中提问

打开一个已预加载此 Agent Skill 的新对话。

文档

预测市场预言机研究 是做什么的?

当考虑将预测市场作为数据源、预测输入、预言机信号或决策智能层时,使用此技能。

防护栏

  • 不要将市场价格视为客观真理。
  • 不提供投资建议或交易推荐。
  • 将交易机制、流动性、激励和解析规则与隐含信号分开。
  • 指出操纵、流动性稀薄、过时市场和模糊结果的情况。
  • 对于链上或执行相关的系统,在授予任何写入权限之前,运行 llm-trading-agent-security。

研究工作流程

  1. 定义信号所要支持的决策。
  2. 查找相关的市场、事件、标签和交易平台。
  3. 记录市场隐含概率,并附上时间戳和来源链接。
  4. 评估信号质量:
    • 流动性
    • 价差
    • 市场存续时间
    • 已知的交易者/激励集中度
    • 解析权威性
    • 地域或账户限制
  5. 与非市场来源进行比较,例如文件、新闻、民意调查、研究、客户数据或内部 KPI。
  6. 针对所述决策,推荐信号是否可用、较弱或不适用。

集成模式

  • 研究助手:为人类分析师提供基于来源的背景信息。
  • 仪表盘信号:市场隐含概率与内部指标并列显示。
  • Agent 记忆输入:带时间戳的信号,可供后续检索。
  • 警报输入:当概率、价差或流动性超过阈值时发出通知。
  • 场景规划:在不自动交易的情况下比较多个事件结果。

输出契约

使用:

  1. 决策上下文
  2. 市场来源
  3. 信号质量
  4. 对比来源
  5. 集成建议
  6. 注意事项

以:

预测市场信号是信息输入,而非投资建议。

结尾。

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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