finance-rumor closed-book skill

What problem does it solve?

This skill helps assess listed-company rumor event packs by producing a restrained verdict that separates rumor, verified facts, and market signals to avoid hallucinated confirmation.

Core Features & Use Cases

• Closed-book, evidence-tiered assessment: evaluates claims strictly against the provided domain context and source tiers (e.g., A1/A2 vs C-only signals).
• Verified fact vs rumor vs market reaction separation: outputs rumor status and recommended handling without treating community discussion as proof.
• Market-sensitivity-aware abstention: lowers confidence or abstains when evidence is weak or when trading impact cannot be confirmed.

Quick Start

Use the finance-rumor closed-book skill to assess an event pack and produce rumor_status, risk_level, market_sensitivity, evidence_tiers, uncertainty, and recommended_actions.