by kangise · MCP Server · ★ 72
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Cross-border e-commerce AI knowledge base, read by people and installed by agents: 69 trilingual guides, 878 prompts, a 100-entity / 322-constraint ontology, and 9 skills as a Claude Code plugin or over MCP. Factual claims are dated and CI-verified. CC0.
| Stars | 72 |
| Forks | 11 |
| Language | Python |
| Category | MCP Server |
| License | CC0-1.0 |
| Quality Score | 55.5706869037441/100 |
| Last Updated | 2026-09-18 |
| Created | 2025-09-08 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~13k |
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ecommerce-ai-skills is Cross-border e-commerce AI knowledge base, read by people and installed by agents: 69 trilingual guides, 878 prompts, a 100-entity / 322-constraint ontology, and 9 skills as a Claude Code plugin or ov. It is categorized as a MCP Server with 72 GitHub stars.
ecommerce-ai-skills is primarily written in Python. It covers topics such as agent-skills, ai-ecommerce, ai-prompts.
You can find installation instructions and usage details in the ecommerce-ai-skills GitHub repository at github.com/kangise/ecommerce-ai-skills. The project has 72 stars and 11 forks, indicating an active community.
ecommerce-ai-skills is released under the CC0-1.0 license, making it free to use and modify according to the license terms.
The top alternatives to ecommerce-ai-skills on Agent Skills Hub include amazon-skills, claudepro-directory, AI-Agents-public. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: