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 xi-zhao · MCP Server · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is OpenQuantum safe to install? View the security audit →
开源量子 Agent 与应用平台 An open-source quantum agent and application platform. 汇聚量子软件生态,面向量超智融合。 浏览能力 · 任务示例 · 快速开始 · 应用与扩展 · 量子学习通 · 产品特点 · 文档 OpenQuantum 将量子工具、专业方法与应用汇聚到一个开放平台,通过 AI Agent 连接用户需求与专业计算。你可以调用已有工具开展任务,直接使用已集成应用,也可以接入自己的算法、服务与产品。 我们的目标是让任何量子相关需求,都能在这里找到合适的工具、应用或解决路径。 平台不限定于某一类使用者或单一场景,而是持续扩展可使用的量子生态。 生态汇聚:专业工具、研究方法与完整应用,在一个平台中发现、使用和扩展。 智能体驱动:从提出需求到调用工具、推进计算,让专业量子软件进入实际任务流程。 面向融合计算:模型服务与计算后端分别配置,持续拓展量子计算、高性能计算与 AI 的协作方式。 当前已接入能力、依赖准备、使用条件与验证范围见下文;新工具与应用逐项完成适配。 浏览已有能力 · 开始使用 · 接入工具与应用 <img src="./docs/image
| Stars | 50 |
| Forks | 10 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 58.2683925119261/100 |
| Last Updated | 2026-09-20 |
| Created | 2026-08-15 |
| Platforms | browser, cli, mcp, node |
| Est. Tokens | ~22k |
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OpenQuantum is Open-source quantum Agent workspace with a desktop client, Web UI, messaging, Qiskit/MCP tools, and scientific validation. It is categorized as a MCP Server with 50 GitHub stars.
OpenQuantum is primarily written in JavaScript. It covers topics such as agentic-ai, ai-agent, deepseek.
You can find installation instructions and usage details in the OpenQuantum GitHub repository at github.com/xi-zhao/OpenQuantum. The project has 50 stars and 10 forks, indicating an active community.
OpenQuantum is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to OpenQuantum on Agent Skills Hub include google-analytics-mcp, pawwork, PolyMCP. 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: