by w8123 · MCP Server · ★ 1.0k
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 | 1,044 |
| Forks | 95 |
| Language | Java |
| Category | MCP Server |
| License | MIT |
| Quality Score | 60/100 |
| Open Issues | 4 |
| Last Updated | 2026-11-07 |
| Created | 2026-04-02 |
| Platforms | java, mcp |
| Est. Tokens | ~20k |
快速、安全完成业务系统智能化改造：让 AI 能查数据、填表单、办业务 适用于 OA、ERP、CRM、eHR、采购、工单、合同等已有业务系统。 ReachAI · 面向 Java 企业系统的企业智能体开发与运行底座 改造完成后，业务系统能做什么 ReachAI 将 AI 助手嵌入 OA、eHR、采购、CRM 等现有业务页面。员工无需切换系统，即可通过自然语言查询数据、填写表单、办理业务： ReachAI 会结合当前登录身份、页面状态与业务上下文理解需求，仅调用已授予当前用户的业务能力。页面筛选、跳转与表单操作由已注册的页面动作执行；真实数据查询与写入仍由后端 Capability 或业务 API 完成。涉及写入、提交和审批等关键操作时，必须经用户确认后执行。 从一个界面掌握智能体运营状态 智能体运营中心按项目汇总...
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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: