{"id":78995,"plugin_id":"plugin_asdk_app_6ac2bc0c5b408191b91f891e7fdbbdcd","kind":"skill","collection_source":"skill_api","comparison_source":null,"observed_at":"2026-11-03T19:18:12.322Z","digest":"8d02553e00a11581c8c7efe73cb0dab7cbbd04ca42f65d6c033085fe4a59373b","against":null,"payload":{"description":"Use Dativue when a user wants to understand public reviews, recurring praise, complaints, requested improvements, or reputation patterns.","included_files":[],"name":"dativue-review-and-reputation-research","skill_md_contents":"---\nname: dativue-review-and-reputation-research\ndescription: Use Dativue when a user wants to understand public reviews, recurring praise, complaints, requested improvements, or reputation patterns.\n---\n\n# Dativue review and reputation research\n\nRun routine research without a quote. Estimate with `research_credit_quote` when asked, and get user approval for any call whose maximum hold exceeds 50 credits.\nSelect only the review sources relevant to the named business, place, app, or product.\n\nGroup repeated themes while preserving rating, date, language, helpful votes, public author label, response, and source URL when available.\nSeparate the review evidence from calculated theme frequency and AI interpretation.\nWrite `N/A` when a field is unavailable.\nDo not enrich public author labels with personal data or attempt to identify reviewers.\nExplain that review availability, sorting, and sampling differ by source.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}