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 zach22-1999 · Codex Skill · ★ 156
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is amazon-skills safe to install? View the security audit →
Amazon Skills 作者:Zach | 公众号「Zach的进化笔记」 Learn in public!把亚马逊卖家的实战经验做成可安装、可执行、可交付的 AI skill。 这个仓库是什么 一个面向亚马逊卖家的公开 skill 仓库。 这里放的是亚马逊业务相关的 skill,例如选品验证、Listing 健康检查、关键词与市场分析。 这里不放品牌私有资料、真实店铺数据、领星服务器配置或内部工作成果。 当前状态 Status: Ready to Push 发布前固定流程见: docs/release-gate.md GitHub Social preview 上传说明见: docs/github-social-preview.md 推荐安装方式:让 AI 帮你装 推荐在以下 IDE 中直接用自然语言安装: Claude Code Codex Cursor 把下面这句话直接发给你的 AI: 如果你要装其他 skill,把 skill 名换成: 手动安装仍然保留,但只作为降级方案: docs/manual-install.md 当前 Skills 分析 Amazon Ads 搜索词报告,输出否词候选
| Stars | 156 |
| Forks | 36 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 62.1298610748369/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-20 |
| Created | 2026-04-09 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~14k |
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amazon-skills is Open-source Agent Skills for Amazon sellers: product research, feature validation, listing audits, ads search-term analysis, and CVR diagnostics. 亚马逊跨境电商 Skills。. It is categorized as a Codex Skill with 156 GitHub stars.
amazon-skills is primarily written in Python. It covers topics such as agent-skills, amazon-fba, amazon-ppc.
You can find installation instructions and usage details in the amazon-skills GitHub repository at github.com/zach22-1999/amazon-skills. The project has 156 stars and 36 forks, indicating an active community.
amazon-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to amazon-skills on Agent Skills Hub include ecommerce-ai-skills, ai-skills, Overture. 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: