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Multi-agent social media opinion and reputation analysis that generates Word/PDF and high-design interactive HTML reports from real-time web data.
BettaFish is a multi-agent public opinion analysis system that runs QueryAgent, MediaAgent, and InsightAgent in parallel and coordinates them via a ForumEngine. It collects real web data (no simulated data), performs cross-source analysis (news, forums, short video platforms), runs a 3‑round reflection loop, and outputs professionally formatted Word and PDF reports plus a high-design interactive HTML report.
Use BettaFish when you need comprehensive, evidence-backed social listening or crisis analysis: brand reputation monitoring, hot-event tracking, competitor comparisons, influencer/account impact analysis, or formal reports for stakeholders. It’s suitable for scenarios requiring polished deliverables (docx/pdf) and interactive visual summaries (HTML).
Designed to run in OpenClaw agent environments with web access and subskills for video-frames, docx, pdf, and frontend-design.
BettaFish is a multi-agent social media opinion analysis system targeting Chinese platforms (Weibo, Xiaohongshu, Douyin, Bilibili, Zhihu). It uses QueryAgent/MediaAgent/InsightAgent parallel architecture with ForumEngine collaboration. 4 of 5 scripts ran successfully; template_manager.py crashes due to missing template files not bundled with the skill. The SKILL.md is extremely verbose (~50KB) with heavy Chinese content, mixing instructional prose with code. Scripts are clean — no security issues, no network calls, no credential exposure.
reportlab (imported by report_generator.py but not installable in DRY_RUN)No security concerns. Scripts are pure data processing utilities — no network calls, no subprocess, no credentials. The main issues are architectural (bloated SKILL.md, missing template files, external subskill dependencies) and practical (Chinese-only platform focus, complex multi-agent design that may be hard to execute reliably).
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