Agent SkillsNeverSight/learn-skills.dev › ito-data-atlas-agent

ito-data-atlas-agent

GitHub

用于设计Itô数据图谱风格的研究代理,涵盖市场发现、参数起草及人工审核流程。专注架构规划而非实盘交易,通过多阶段工作流确保数据安全与合规,最终输出可执行的代理规范。

data/skills-md/affaan-m/everything-claude-code/ito-data-atlas-agent/SKILL.md NeverSight/learn-skills.dev

Trigger Scenarios

需要设计预测市场研究代理 规划数据收集与人工审核工作流 生成代理架构规范

Install

npx skills add NeverSight/learn-skills.dev --skill ito-data-atlas-agent -g -y
More Options

Non-standard path

npx skills add https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/affaan-m/everything-claude-code/ito-data-atlas-agent -g -y

Use without installing

npx skills use NeverSight/learn-skills.dev@ito-data-atlas-agent

指定 Agent (Claude Code)

npx skills add NeverSight/learn-skills.dev --skill ito-data-atlas-agent -a claude-code -g -y

安装 repo 全部 skill

npx skills add NeverSight/learn-skills.dev --all -g -y

预览 repo 内 skill

npx skills add NeverSight/learn-skills.dev --list

SKILL.md

Frontmatter
{
    "name": "ito-data-atlas-agent",
    "origin": "ECC",
    "description": "Design background Data Atlas style agents for Itô basket research, market discovery, parameter drafting, and human-in-the-loop editing. Use for architecture and workflow planning, not live order execution."
}

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.

Guardrails

  • 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.

Architecture Pattern

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.

Workflow

  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.

Useful Skill Chains

  • 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.

Output Contract

Return an implementation-ready workflow spec with:

  • data sources
  • access gates
  • agent roles
  • human approval points
  • storage/audit boundary
  • non-goals

Version History

  • e0220ca Current 2026-07-05 23:57

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Metadata

Files
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Version
e0220ca
Hash
966251df
Indexed
2026-07-05 23:57

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