by aliyun · MCP Server · ★ 170
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/aliyun/alibabacloud-observability-mcp-server.git
npx skills add aliyun/alibabacloud-observability-mcp-serverTaken from the project's README on GitHub.
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 | 170 |
| Forks | 43 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 54/100 |
| Open Issues | 27 |
| Last Updated | 2026-08-12 |
| Created | 2025-04-21 |
| Platforms | mcp, python |
| Est. Tokens | ~14k |
阿里云可观测 MCP Server（Go 版） 📌 重要提示 本项目已使用 Go 语言重构。如需使用原 Python 版本，请访问 目录： - 📖 v1/README.md - Python 版本文档 - 📦 Python 版本通过 安装 阿里云可观测 MCP Server 的 Go 语言实现，为 AI 模型提供对阿里云日志服务（SLS）和云监控（CMS）的结构化数据访问能力。基于 Model Context Protocol 协议，可与 Cursor、Kiro、Cline、Windsurf 等 AI 工具无缝集成。 特性 支持 stdio、SSE、streamable-http 三种传输模式 模块化工具集架构：PaaS（云监控 2.0）、IaaS（SLS/CMS 直接访问）、Shared 灵活的时间表达式解析：相对时间、绝对时间戳、Grafana 风格、预设关键词...
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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: