nexscope-ecommerce-skills — security grade SAFE, quality 65/100

Security audit verdict: SAFE · quality 65/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by nexscope-ai · Claude Skill · ★ 71

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is nexscope-ecommerce-skills safe to install? View the security audit →

About nexscope-ecommerce-skills

E-commerce Skills by Nexscope 109 ready-to-use AI agent skills for ecommerce research, marketplace intelligence, product discovery, keyword analysis, trend research, sourcing, patent and trademark screening, multimodal tasks, and GEO workflows. For Amazon, TikTok Shop, Ozon, 1688, Shopify, Temu, Walmart, Shopee, Etsy, eBay, and more. Quick Start Clone the collection Install the skills you need Each top-level directory is an individual skill package. Copy the complete directory into the skills location used by your AI agent. Keep its , scripts, references, assets, and manifest files together. Example: You can also install the whole collection if your agent supports loading multiple skill directories from one repository. See the external skills setup guide for agent-specific instructions. Configure API access Most API-backed skills require these environment variables: Get or manage an API key on the [Nexscope API Keys page](https://www.nexscope.ai/seller/api-access?co-from=githubNS

1688agent-skillsai-agent-skillsamazonamazon-sellerclaude-skillscodex-skillscompetitor-analysisecommerceecommerce-skills

Quick Facts

Stars71
Forks10
LanguagePython
CategoryClaude Skill
Quality Score64.6210678370143/100
Last Updated2026-09-17
Created2026-06-25
Platformsclaude-code, codex, python
Est. Tokens~18k

Compatible Skills

These tools work well together with nexscope-ecommerce-skills for enhanced workflows:

  • PatentRadar — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • amazon_ads_mcp — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)

nexscope-ecommerce-skills alternative? Top 6 similar tools

Looking for a nexscope-ecommerce-skills alternative? If you're comparing nexscope-ecommerce-skills with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • awesome-amazon-ec-skills by hikari0511 · ⭐ 168

    亚马逊跨境电商场景下的 Claude / AI Agent Skills 合集(中文优先,聚焦 Amazon 出海 + 1688 供货上游)

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  • ZooData-Skills by SerendipityOneInc · ⭐ 73

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Frequently Asked Questions

What is nexscope-ecommerce-skills?

nexscope-ecommerce-skills is 127 portable ecommerce skills for marketplace research, product discovery, keyword analysis, trends, sourcing, patent screening, multimodal tasks, and GEO workflows.. It is categorized as a Claude Skill with 71 GitHub stars.

What programming language is nexscope-ecommerce-skills written in?

nexscope-ecommerce-skills is primarily written in Python. It covers topics such as 1688, agent-skills, ai-agent-skills.

How do I install or use nexscope-ecommerce-skills?

You can find installation instructions and usage details in the nexscope-ecommerce-skills GitHub repository at github.com/nexscope-ai/nexscope-ecommerce-skills. The project has 71 stars and 10 forks, indicating an active community.

What are the best alternatives to nexscope-ecommerce-skills?

The top alternatives to nexscope-ecommerce-skills on Agent Skills Hub include awesome-amazon-ec-skills, awesome-ai-agent-skills, ZooData-Skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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