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The official Agent Skills spec (agentskills.io/specification) whitelists exactly 6 top-level frontmatter keys (name/description/license/compatibility/metadata/ allowed-tools). A top-level `origin` key fails the official validator (anthropics/skills quick_validate.py ALLOWED_PROPERTIES; skills-ref validate). This moves `origin: X` -> `metadata.origin: X` across the canonical skills/ tree, preserving each value verbatim. Frontmatter-only, minimal diff. - 251 SKILL.md updated (242 new metadata block, 9 appended to existing metadata) - origin values preserved verbatim (verified 251/251) - YAML validated on all changed files - scoped to canonical skills/ only (docs/<lang> translations + tool mirrors .cursor/.kiro/.agents left untouched; presumably regenerated from canonical) Addresses #2233
65 lines
2.1 KiB
Markdown
65 lines
2.1 KiB
Markdown
---
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name: ito-basket-compare
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description: Compare Itô prediction-market baskets against a user's knowledge base, portfolio notes, financial context, watchlist, or research thesis. Use for read-only basket comparison and gap analysis without investment advice or live trading.
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metadata:
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origin: ECC
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---
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# Itô Basket Compare
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Use this skill to compare a basket, theme, or market set against a user's
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knowledge base, portfolio notes, research memo, CRM context, or stated thesis.
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This skill is read-only. It does not recommend trades. It helps a user inspect
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fit, exposure, assumptions, and missing context before they decide what to do.
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## Guardrails
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- Do not provide investment advice or tell the user to buy, sell, hold, hedge,
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lever, or size a trade.
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- Do not execute, prepare, or submit orders.
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- Do not use private documents unless the user explicitly points to them.
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- Use `ITO_API_KEY` only for read-only Itô basket/market data after explicit
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user request.
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- If comparing against financials, preserve privacy and summarize only the
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fields needed for the comparison.
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## Comparison Modes
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### Basket vs Knowledge Base
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1. Identify the basket theme and underliers.
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2. Retrieve the user's relevant notes, docs, or memory snippets.
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3. Map each underlier to claims, sources, uncertainties, and stale assumptions.
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4. Return aligned signals, conflicting signals, and missing research.
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### Basket vs Portfolio Notes
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1. Parse the user's watchlist, holdings summary, or exposure notes.
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2. Compare themes, geographies, time horizons, and event outcomes.
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3. Flag concentration, correlation, and duplicated narrative exposure.
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4. Avoid recommendations; phrase output as inspection and questions.
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### Basket vs Financial Context
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1. Accept only user-provided or explicitly selected financial context.
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2. Identify liquidity, drawdown, time-horizon, and constraint mismatches.
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3. Ask for missing constraints instead of guessing.
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## Output Contract
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Use this structure:
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1. Basket summary
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2. Comparison target
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3. Matches
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4. Conflicts or stale assumptions
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5. Missing context
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6. User-action checklist
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End with:
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```text
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This comparison is informational and not investment or trading advice.
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```
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