sentiment-radarMulti-platform sentiment monitoring and analysis for products/brands/topics. Collect public opinions from Chinese platforms (小红书/XHS via MediaCrawler) and En...
Install via ClawdBot CLI:
clawdbot install danielwangyy/sentiment-radarGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
exec(Calls external URL not in known-safe list
https://github.com/NanmiCoder/MediaCrawlerAI Analysis
The skill primarily orchestrates local data collection and analysis using legitimate open-source tools (MediaCrawler, Xpoz MCP) for its stated purpose of sentiment monitoring. The main risks are operational (requiring user QR login for XHS and OAuth tokens) and dependency-related (cloning external GitHub repos), but no evidence of hidden data exfiltration, credential harvesting, or intent override exists.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Track public sentiment for competing products across Chinese and English social media platforms. Identify strengths and weaknesses in competitor offerings by analyzing user reviews, complaints, and feature comparisons to inform competitive positioning and marketing strategies.
Monitor initial user feedback after launching a new product or feature. Collect data from platforms like Xiaohongshu and Twitter to gauge sentiment, identify early adopters' pain points, and measure engagement metrics to refine product messaging and address issues quickly.
Analyze social media discussions to uncover common complaints and unmet needs related to a brand or product category. Extract pricing complaints, feature requests, and comparison comments to prioritize product improvements and enhance customer satisfaction.
Build comprehensive sentiment reports by aggregating data from multiple platforms over time. Track trends in product mentions, sentiment shifts, and engagement metrics to support strategic decision-making and provide actionable insights for stakeholders.
Offer recurring sentiment monitoring and analysis reports to clients on a monthly or quarterly basis. Provide customized dashboards and alerts for key metrics, enabling businesses to track brand health and competitor movements continuously.
Deliver targeted sentiment analysis for specific events such as product launches, marketing campaigns, or crisis management. Clients pay for in-depth reports that include data collection, analysis, and strategic recommendations based on findings.
License the sentiment analysis tools and data pipelines to enterprises for integration into their internal systems. Provide APIs for automated data collection and analysis, allowing clients to incorporate real-time sentiment insights into their business intelligence platforms.
💬 Integration Tip
Ensure MediaCrawler and Xpoz MCP are properly configured with authentication tokens and environment variables to avoid data collection errors during execution.
Scored Apr 19, 2026
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Sentiment analysis for brands and products across Twitter, Reddit, and Instagram. Monitor public opinion, track brand reputation, detect PR crises, surface complaints and praise at scale — analyze 70K+ posts with bulk CSV export and Python/pandas. Social listening and brand monitoring powered by 1.5B+ indexed posts.