nexscope-ecommerce-skills: 127 portable ecommerce skills for marketplace research, product discovery, keyword analysis, trends, sourcing

by nexscope-ai · Claude Skill · ★ 106

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

How to install nexscope-ecommerce-skills

git clone https://github.com/nexscope-ai/nexscope-ecommerce-skills.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 66/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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

Quick Facts

Stars106
Forks14
LanguagePython
CategoryClaude Skill
Quality Score66/100
Last Updated2026-11-02
Created2026-06-25
Platformsclaude-code, codex, python
Est. Tokens~18k

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.

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%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

View on GitHub → Browse Claude Skill tools