Agent Skills
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ito-data-atlas-agent
GitHub用于设计基于Itô数据源的数据图谱智能体，涵盖研究收集、篮子草案生成、风险审查及人工审核工作流。专注于架构规划与参数起草，不涉及实盘交易执行，强调数据安全与人机协作。
Trigger Scenarios
需要设计预测市场篮子的智能体架构
规划包含人工审核环节的数据处理工作流
生成带溯源的篮子规格说明书
Install
npx skills add NeverSight/learn-skills.dev --skill ito-data-atlas-agent -g -y
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_KEYonly 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:
- Research collector: public web, X, GitHub, venue docs, API metadata, and Itô read endpoints when gated access exists.
- Basket drafter: turns sources into candidate underliers, weights, rules, and questions.
- Risk reviewer: checks data freshness, venue limits, resolution ambiguity, compliance notes, and prompt-injection exposure.
- Human editor: opens a chat or UI state where the user can approve, reject, adjust, or ask for more research.
Workflow
- Define the user objective and excluded actions.
- List data sources and access requirements.
- Draft a basket spec with provenance for every underlier.
- Produce editable parameters rather than executable orders.
- Store an audit trail: inputs, model output, sources, and human decision.
Useful Skill Chains
deep-researchfor source collection.x-apifor current social/event signal.ito-market-intelligencefor venue and underlier context.ito-basket-comparefor user knowledge-base matching.prediction-market-risk-reviewbefore 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 23:43
