by alexanderizh · MCP Server · ★ 107
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/alexanderizh/spark-agent.git
Taken from the project's README on GitHub. Check the security audit before running it.
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 | 107 |
| Forks | 4 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-22 |
| Created | 2026-05-26 |
| Platforms | claude-code, codex, mcp, node |
| Est. Tokens | ~16k |
SparkWork 本地优先的桌面 AI Agent 工作台:在一个应用里完成对话、开发、调研、文档、多媒体创作与自动化。 官网 · 下载 · 功能特性 · 快速开始 · 从源码构建 · 架构手册 · 贡献指南 · 更新日志 ✨ 项目简介 SparkWork(仓库名 Spark Agent)是一个运行在 macOS、Windows 和 Linux 上的桌面 AI Agent 工作台。它不是单纯的聊天窗口:Agent 的计划与审批、工具调用、终端与代码、浏览器、Git 改动与交付结果全部组织在同一个工作区里——长任务可以持续推进,每一步都能被查看、追问和接管。 🧠 双执行引擎:同时支持 Claude Agent SDK 与 Codex 执行路径,可按会话切换 🏠 本地优先:项目、会话、配置和产物默认保存在本机 SQLite 与本地目录 🔓 模型自由:接入任意 OpenAI 兼容 /...
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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: