ito-data-atlas-agent

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Original

English
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Translation

Chinese

Itô Data Atlas Agent

Itô Data Atlas Agent

Use this skill to design an agent that watches data sources, builds candidate prediction-market baskets, drafts parameter changes, and hands the result to a human for review.
This skill describes architecture and workflow. It does not run live trading.
使用该技能设计一个Agent,用于监控数据源、构建候选预测市场篮子、草拟参数变更,并将结果提交给人工审核。
本技能描述架构与工作流,不用于实时交易。

Guardrails

约束规则

  • Keep all execution behind explicit human approval.
  • Require
    ITO_API_KEY
    only for read-only Itô data access unless a separate private implementation explicitly adds execution controls.
  • Do not persist private user data unless the target repo already has a storage contract and the user asks for it.
  • Do not expose private strategy logic, venue credentials, or local paths in public docs.
  • 所有执行操作必须经过明确的人工批准。
  • 仅在需要只读访问Itô数据时要求
    ITO_API_KEY
    ,除非单独的私有实现明确添加了执行控制。
  • 除非目标仓库已有存储协议且用户明确要求,否则不得存储用户私有数据。
  • 不得在公开文档中暴露私有策略逻辑、场所凭证或本地路径。

Architecture Pattern

架构模式

Use four lanes:
  1. Research collector: public web, X, GitHub, venue docs, API metadata, and Itô read endpoints when gated access exists.
  2. Basket drafter: turns sources into candidate underliers, weights, rules, and questions.
  3. Risk reviewer: checks data freshness, venue limits, resolution ambiguity, compliance notes, and prompt-injection exposure.
  4. Human editor: opens a chat or UI state where the user can approve, reject, adjust, or ask for more research.
采用四个模块:
  1. 研究收集器:获取公开网页、X平台、GitHub、场所文档、API元数据,以及在受限访问情况下的Itô只读端点数据。
  2. 篮子草拟器:将数据源转换为候选标的、权重、规则和问题。
  3. 风险审核器:检查数据新鲜度、场所限制、解析歧义、合规说明以及提示注入风险。
  4. 人工编辑器:提供聊天或UI界面,用户可在此批准、拒绝、调整或请求更多研究内容。

Workflow

工作流

  1. Define the user objective and excluded actions.
  2. List data sources and access requirements.
  3. Draft a basket spec with provenance for every underlier.
  4. Produce editable parameters rather than executable orders.
  5. Store an audit trail: inputs, model output, sources, and human decision.
  1. 定义用户目标和禁止操作。
  2. 列出数据源和访问要求。
  3. 草拟带有每个标的来源信息的篮子规范。
  4. 生成可编辑参数而非可执行订单。
  5. 存储审计轨迹:输入内容、模型输出、数据源和人工决策。

Useful Skill Chains

实用技能链

  • deep-research
    for source collection.
  • x-api
    for current social/event signal.
  • ito-market-intelligence
    for venue and underlier context.
  • ito-basket-compare
    for user knowledge-base matching.
  • prediction-market-risk-review
    before any execution-capable integration.
  • deep-research
    :用于数据源收集。
  • x-api
    :用于获取当前社交/事件信号。
  • ito-market-intelligence
    :用于场所和标的背景信息。
  • ito-basket-compare
    :用于匹配用户知识库。
  • prediction-market-risk-review
    :在任何可执行集成之前使用。

Output Contract

输出协议

Return an implementation-ready workflow spec with:
  • data sources
  • access gates
  • agent roles
  • human approval points
  • storage/audit boundary
  • non-goals
返回可直接实施的工作流规范,包含:
  • 数据源
  • 访问权限控制
  • Agent角色
  • 人工审批节点
  • 存储/审计边界
  • 非目标事项