restaurant-crosscheck-cnCross-reference restaurant recommendations from Xiaohongshu (小红书) and Dianping (大众点评) to validate restaurant quality and consistency. Use when querying resta...
Install via ClawdBot CLI:
clawdbot install zhongrenfei1-hub/restaurant-crosscheck-cnGrade 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://www.dianping.comAI Analysis
The skill definition explicitly describes web scraping of Dianping and Xiaohongshu, which are external platforms not under user control, posing data integrity and potential ToS violation risks. While no credential harvesting or hidden instructions are evident, the reliance on undocumented scraping methods introduces operational and legal uncertainty. The stated purpose aligns with the external calls, but the implementation method is inherently risky.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
Travelers visiting Chinese cities use the skill to find highly-rated, consistent restaurant recommendations validated across both Dianping and Xiaohongshu, ensuring trustworthy dining choices in unfamiliar locations. It helps filter out overhyped spots by cross-referencing ratings and engagement metrics.
Residents in urban areas like Shanghai or Beijing use the skill to discover new or trending restaurants in their district, leveraging cross-platform validation to avoid biased reviews and identify establishments with strong consistency in quality and sentiment.
Content creators and influencers on platforms like Xiaohongshu or Weibo use the skill to research restaurants for reviews or recommendations, analyzing consistency scores and sentiment data to produce well-informed, credible content that resonates with followers.
Event planners or groups organizing meals for business or social gatherings use the skill to select restaurants with high recommendation scores, ensuring reliable quality and positive experiences validated across multiple review sources.
Restaurant chains or investors analyze competitor performance and customer sentiment in specific regions by cross-referencing data from Dianping and Xiaohongshu, using consistency metrics to gauge market reputation and identify opportunities for expansion or improvement.
Offer the skill as a subscription-based service to restaurants, food delivery platforms, or travel agencies, providing them with validated insights and analytics on their performance across review platforms. Revenue comes from monthly or annual fees based on usage tiers.
Integrate affiliate links to restaurant booking platforms like Meituan or Dianping within the skill's output, earning commissions on bookings or orders generated through recommendations. This leverages high-traffic queries for monetization.
License aggregated and anonymized cross-platform restaurant data to large enterprises such as food delivery services, market research firms, or advertising agencies for strategic analysis and targeted marketing campaigns.
💬 Integration Tip
Ensure robust proxy rotation and rate limiting to handle web scraping from Dianping and Xiaohongshu, as both platforms have anti-scraping measures that can cause request failures if not managed carefully.
Scored Apr 19, 2026
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