by Zafer-Liu · Agent Tool · ★ 2.6k
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 | 2,623 |
| Forks | 234 |
| Language | JavaScript |
| Category | Agent Tool |
| Quality Score | 66/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-30 |
| Created | 2026-04-21 |
| Platforms | node |
| Est. Tokens | ~14k |
智能商业分析 Agent English 一个面向商业分析场景的 AI Agent。 连接数据源后，用户只需使用自然语言提问，系统即可自动完成： - 数据结构识别 - SQL 生成与执行 - 图表生成 - 业务洞察分析 ✨ 项目亮点 Business Analyst Agent 是一个对话式商业数据分析系统，目标是让非技术用户也能像“聊天”一样完成数据分析。 上传 Excel / CSV，或连接数据库后，用户可以直接提问： 系统会自动： 理解问题意图 分析数据结构（Schema） 自动生成 SQL 执行查询 自动推荐图表 输出业务洞察 并通过 SSE（Server-Sent Events）流式输出，实时展示分析过程。 🚀 核心能力 🧠 自然语言数据分析 无需编写 SQL。 用户只需输入自然语言： 系统自动完成： SQL 生成 数据查询 图表推荐 分析总结 🔌 多数据源支持 支持：...
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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: