by liangdabiao · MCP Server · ★ 951
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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. Full audit →
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.
| Stars | 951 |
| Forks | 137 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 61/100 |
| Open Issues | 6 |
| Last Updated | 2026-10-09 |
| Created | 2026-03-02 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~16k |
Amazon Sorftime MCP Skills - 亚马逊竞品分析与品类选品工具 基于 Sorftime MCP 服务和 Claude Skills 的亚马逊分析工具集。 项目简介 本项目配置了 Sorftime 跨境电商数据服务的 MCP (Model Context Protocol) 服务器，并开发了六个核心技能： 核心功能 Listing级别分析 (amazon-analyse) 竞品Listing分析: 自动获取产品详情、评论、关键词、趋势数据 关键词分析: 流量来源、竞品布局、长尾词挖掘 评论情感分析: 优势聚类、痛点识别、改进建议 跨平台分析: TikTok带货视频、达人分析、1688采购成本 品类级别分析 (category-selection) 市场大盘分析: Top100产品数据 + 统计指标 五维评分模型: 市场规模、增长潜力、竞争烈度、进入壁垒、利润空间...
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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: