by GroundedCore · Agent Tool · ★ 85
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.
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 | 85 |
| Forks | 0 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 62/100 |
| Last Updated | 2026-10-20 |
| Created | 2026-09-23 |
| Platforms | python |
| Est. Tokens | ~14k |
NexusDesk 简体中文 · English 基于 AI Agent 的智能客服与服务协同平台。 NexusDesk 将知识检索、业务工具调用、人工协同与工单处理连接到统一的客服流程中，帮助团队构建能够回答问题、执行任务并跟进处理结果的智能客服。 基于 Python、LangGraph 与 React 构建，支持两容器快速体验，以及使用独立 Worker 和外部中间件的生产部署。 快速体验 · 生产部署 · 文档导航 · 参与贡献 项目处于持续开发阶段，已具备可运行的客服核心流程。功能现状与规划分别说明，部署验证范围见 验证记录。 产品预览 知识库工作台：管理文档、分片、索引和发布版本。截图使用测试数据。 核心能力 典型流程：用户发起咨询 → Agent 检索知识或调用业务工具 → 返回结果 → 按需转人工或确认创建工单。 快速体验 准备 Docker 与 Docker...
Looking for a nexusdesk alternative? If you're comparing nexusdesk with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Open-source, self-hosted AI customer service platform built around ReAct agents. Agents retrieve knowledge, ca
Self-hosted AI customer-support platform — per-KB RAG on Qdrant, 13 LLM providers, SSE streaming, embeddable c
Open-source AI customer support chatbot with human handoff — omnichannel inbox (web, WhatsApp, Instagram, Mess
The Complete AI Development Toolkit for Claude Code. 115 skills, 36 agents, 161 hooks. Install `ork` for stabl
Multi AI agents for customer support email automation built with Langchain & Langgraph
Structured Data Extractor for AI Agents. Search your documents or the web for specific data and get it back in
Explore other popular agent tool tools:
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: