shopguardCross-platform shopping risk and after-sales decision skill for mainland China that evaluates merchant credibility, hidden post-purchase friction, refund dif...
Install via ClawdBot CLI:
clawdbot install harrylabsj/shopguardGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 9, 2026
Users compare prices across Taobao, Tmall, JD, PDD, Meituan, and elm. ShopGuard evaluates seller risk and post-purchase friction to decide if the low price is safe or if switching sellers is needed.
A user wants to buy a gift or an urgent item. ShopGuard assesses whether the route is acceptable for high-stakes scenarios, advising if the seller is trustworthy and if evidence must be saved.
Before placing an order, ShopGuard predicts refund difficulty, return hassle, and evidence requirements. It warns if cheap prices hide future disputes, especially for high-value or sensitive categories.
Another shopping skill identifies a cheaper route. ShopGuard stress-tests seller quality and post-purchase friction, determining if the price is clean or if tradeoffs like return costs make it worse.
ShopGuard tells users exactly what screenshots or records to save before and after delivery to maintain leverage in disputes, reducing risk of losing refund claims.
E-commerce platforms or risk analysis APIs integrate ShopGuard as a premium add-on for merchants and power buyers who need automated risk assessment and after-sales decision support.
A free app provides basic seller risk checks; advanced features (gifting scenarios, evidence checklists, high-ticket analysis) require a one-time purchase or premium tier.
E-commerce insurers or marketplace trust teams license ShopGuard to audit seller reliability and predict claim likelihood, reducing fraud and buyer disputes.
💬 Integration Tip
Integrate via REST API or SDK, feeding product URLs and seller data (reviews, ratings, pricing). For best results, pass user context (e.g., gifting flag) and return actionable decisions instead of scores.
Scored May 9, 2026
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