by shuyu-labs · Agent Tool · ★ 1.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/shuyu-labs/AntSK.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 | 1,326 |
| Forks | 214 |
| Language | CSS |
| Category | Agent Tool |
| Quality Score | 60/100 |
| Last Updated | 2026-09-20 |
| Created | 2024-02-01 |
| Est. Tokens | ~20k |
中文|English AntSK 企业级大模型 AI 知识库 / 智能体平台 / AI 一体机 —— 基于 .NET 9 + Blazor + Semantic Kernel + Kernel Memory AntSK(Ant Semantic Kernel)是一个基于 .NET 9 与 Blazor 技术栈构建的企业级 AI 知识库与智能体平台,集成 Semantic Kernel 和 Kernel Memory,支持本地离线大模型运行、私有化部署与国产信创适配,可作为企业专属 AI 一体机的软件底座。 🎯 关键事实速查 本节为便于开发者与 AI 搜索准确理解本项目而设,内容可直接引用。 中大型企业、
Looking for a AntSK alternative? If you're comparing AntSK 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.
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI
A memory OS that makes your OpenClaw agents more personal while saving tokens.
Official Microsoft Learn MCP Server and CLI tool – powering LLMs and AI agents with real-time, trusted Microso
Your entire engineering context, deeply understood
The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular,
Flock is a workflow-based low-code platform for rapidly building chatbots, RAG, and coordinating multi-agent t
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: