public-opinion-executor-skill

You can analyze public-opinion risk without hallucinating by using closed-book execution that enforces strict fact/signal separation, treating verified facts as anchors and applying abstention rules when only weak signals exist.

Evidence-tier aware reasoning for rumor clarification separates verified facts from community signals by assigning evidence tiers, treating A1/A2 as anchors, B as context, and C as signal-only to prevent unverified claims from driving conclusions.

Generate a structured public-opinion risk report by feeding the event-pack to a closed-book executor, which outputs risk level, core claims, evidence by tier, uncertainty, recommended actions, and confidence scores.

You should abstain from making a public-opinion risk judgment when only C or D tier signals exist, as evidence-tier disciplined reasoning requires explicit uncertainty and abstention when evidence is weak or conflicting.

No, closed-book public-opinion analysis does not require external corpus, memory, or hidden judge materials, as it strictly constrains reasoning to only the provided event-pack and bundled rules to prevent data leakage.

Yes, you can detect coordination-style rumor spread using event-pack analysis by isolating verified official boundaries from observed social signals and sarcasm sentiment to map coordinatedspread patterns at a general-practitioner level.