SztuCode: An experimental playground for open-source, all-in-one office AI for universities

by rojim666 · MCP Server · ★ 110

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install SztuCode

git clone https://github.com/rojim666/SztuCode.git
npm install --global sztucode-tui

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 60/100

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.

agentic-aiai-agentsai-coding-agentcampuscoding-agentdeveloper-toolsjson-rpcllmlocal-firstmcp

Quick Facts

Stars110
Forks28
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score60/100
Open Issues22
Last Updated2026-10-19
Created2026-07-24
Platformsbrowser, mcp, python
Est. Tokens~18k

About SztuCode

SztuCode 中文(默认) · English 面向高校的开源全场景办公智能体实验性场地:代码、文档、表格、幻灯片、浏览器,都是智能体的工作台。 本地优先、事件驱动、可审计,提供 TypeScript 与 Python 双实现。 项目界面 桌面工作台(TypeScript daemon) SztuCode 不只面向代码仓库。作为全场景办公智能体,它的工作台覆盖高校学习与日常办公的完整链路:撰写与审阅 Word 文档、处理 Excel 表格与公式、生成汇报 PPT、解析 PDF 资料、操控浏览器检索信息、生成图片,以及软件工程任务本身。桌面工作台连接 TypeScript daemon;命令行可选择 TypeScript 或 Python runtime。后台 daemon 负责运行 Agent Loop、调用工具、管理权限和保存会话,并通过 JSON-RPC 事件流持续反馈执行状态。...

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How this security grade is produced

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:

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