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:

• 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-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