amazon-sorftime-research-category-skill亚马逊品类自动化选品分析技能。通过五维评分模型对亚马逊品类进行深度市场调研，生成Markdown分析报告。当用户使用 /category-selection 命令或提出'分析XX品类'、'XX品类市场调研'、'XX品类选品'等需求时触发此技能。支持配置分析数量，默认Top20。
Install via ClawdBot CLI:
clawdbot install liangdabiao/amazon-sorftime-research-category-skillGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://mcp.sorftime.com?key=YOUR_API_KEYCalls external URL not in known-safe list
https://mcp.sorftime.com?key=YOUR_API_KEYAI Analysis
The skill interacts with a documented external API (mcp.sorftime.com) for Amazon market research data, which aligns with its stated purpose. While the endpoint is not on a known-safe list, there's no evidence of credential harvesting, hidden instructions, or obfuscation. The primary risk is sending user-provided category queries to this third-party service.
Audited Apr 18, 2026 · audit v1.0
Generated Mar 21, 2026
An Amazon FBA seller wants to expand into a new product category, such as kitchen storage or women's sneakers. They use this skill to analyze market size, competition, and profitability to decide if the category is worth entering and identify top-performing products to emulate.
A private label brand developer is researching niches like traditional laptops or 2-in-1 laptops to launch a new product line. The skill helps assess growth potential, brand concentration, and pricing trends to find underserved segments and validate product ideas.
An e-commerce marketing agency uses the skill to generate detailed market reports for clients selling on Amazon US. They analyze categories like sofas or clothing to provide data-driven recommendations on inventory, pricing, and advertising strategies based on the five-dimensional scoring model.
A wholesale distributor evaluates categories such as kitchen accessories or fashion sneakers to source products from platforms like 1688. The skill analyzes procurement costs, market trends, and seller demographics to identify profitable sourcing opportunities and negotiate better deals.
An investor or venture capital firm assesses Amazon categories like electronics or apparel for potential investments in e-commerce brands. The skill provides insights into market stability, competitive intensity, and profit margins to evaluate business viability and growth prospects.
Sellers use this skill to identify high-demand, low-competition categories for stocking inventory in Amazon warehouses. It helps optimize product selection based on market data, leading to increased sales and reduced risk of unsold stock.
Dropshippers leverage the skill to analyze categories like home goods or apparel without holding inventory. By focusing on trends and supplier data from 1688, they can quickly adapt to market changes and source products with high profit margins.
Consultants offer market analysis as a service to clients looking to enter or expand on Amazon. Using the skill's automated reports and scoring, they provide actionable insights, charging fees for data-driven strategy development and ongoing support.
💬 Integration Tip
Integrate this skill into existing e-commerce workflows by automating report generation via the provided Python scripts, ensuring API keys are securely managed in .mcp.json for seamless data retrieval.
Scored Apr 19, 2026
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