Amazon Seller Analytics

Analyze Amazon seller storefronts and product portfolios. Estimate revenue, identify top products, assess growth trajectory, and uncover strategy patterns. U...

Security Scan

The skill's declared purpose (Amazon seller analytics) matches what the instructions ask the agent to do and it doesn't request credentials or local access, but the runtime instructions are high-level and the README suggests installing an external npm package which you should review before running.

Purpose & Capability

The name/description (analyze Amazon seller storefronts, estimate revenue, identify top products) align with the content of SKILL.md. The skill does not ask for unrelated binaries, environment variables, or config paths. Listing other e-commerce platforms (Shopify, WooCommerce, etc.) is plausible for a competitive-intel skill but is only a broad supported-platform claim rather than an immediate inconsistency.

Instruction Scope

SKILL.md gives a high-level workflow (collect user info, ask one follow-up, research, analyze, produce structured output). It does not instruct the agent to read local files or secrets, but the research step is vague and implicitly permits web lookups/scraping — there is no explicit limitation on what external data sources to use. This is functional but broad; the agent could autonomously attempt arbitrary web research unless constrained by platform policies.

Install Mechanism

The package metadata contains no install spec (instruction-only), but SKILL.md suggests running an npx command to add a third-party package (nexscope-ai/eCommerce-Skills). That command would fetch and run external code outside the registry; the skill itself does not declare or ship that code. This is not inherently malicious but is a point to verify before executing.

Credentials

The skill declares no required environment variables, no credentials, and no config paths. That is proportionate to the described functionality as implemented in the SKILL.md (which relies on user input and web research rather than private credentials).

Persistence & Privilege

The skill does not request always:true and uses default invocation settings. There is no indication it modifies other skills or system-wide settings.

Assessment

This skill appears coherent with its stated purpose and doesn't ask for credentials or local access. Before installing or following the SKILL.md's npx install step, review the referenced npm/GitHub package (nexscope-ai/eCommerce-Skills) to confirm the publisher and code are trustworthy. Ask the skill (or its author) to clarify what external data sources it will access for 'research' and avoid supplying account credentials or API keys unless you understand and trust the integration. If you won't review the external package, prefer using the skill without executing its suggested npx install, and monitor any web requests the agent makes during analysis.

Analyze Amazon seller storefronts and product portfolios. Estimate revenue, identify top products, assess growth trajectory, and uncover strategy patterns. Useful for competitive intelligence and market research.

Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

Install

npx skills add nexscope-ai/eCommerce-Skills --skill amazon-seller-analytics -g

Usage

Analyze this Amazon seller's strategy: they sell kitchen gadgets and have about 50 products. Help me understand their approach.

Capabilities

• Seller storefront analysis (product count, categories, pricing strategy)
• Revenue estimation from BSR and category benchmarks
• Product portfolio assessment (hero products, long-tail, new launches)
• Review velocity and quality scoring
• Growth trajectory estimation
• Competitive positioning analysis

How This Skill Works

Step 1: Collect information from the user's message — product, platform, current situation, and goals.

Step 2: Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").

Step 3: Research and analyze using the frameworks and methodology below.

Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.

Output Format

• Start with a summary of findings
• Include specific data points and benchmarks where available
• Provide prioritized action items
• Mark estimates with ⚠️ when based on incomplete data
• End with concrete next steps

Other Skills

More e-commerce skills: nexscope-ai/eCommerce-Skills

Amazon-specific skills: nexscope-ai/Amazon-Skills

Built by Nexscope — your AI assistant for smarter e-commerce decisions.