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 QingquanYao · AI Tool · ★ 391
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is xilinx-skill safe to install? View the security audit →
English | 中文 让AI全流程自己调试FPGA真的爽翻了 Xilinx 全工具链 Skill -- AI 编程助手插件 让 AI 处理繁琐的 Tcl 脚本，你只需专注架构设计。 一个 AI 编程助手 Skill（支持 Claude Code / Codex / OpenClaw），用自然语言描述你的设计需求，即可生成可直接运行的 Vivado / Vitis HLS / Vitis Unified / PetaLinux 脚本。覆盖从 HLS 算法到启动镜像的完整 FPGA/MPSoC 设计流程。 强烈推荐安装的 MCP Server 只有安装下列 MCP Server，才能实现全自动调试与开发——AI 直接控制 Xilinx 工具链和基础设施，无需人工干预： 为什么需要这个 Skill？ | 痛点
| Stars | 391 |
| Forks | 36 |
| Language | PowerShell |
| Category | AI Tool |
| Quality Score | 60.7067086634498/100 |
| Open Issues | 2 |
| Last Updated | 2026-04-25 |
| Created | 2026-04-02 |
| Platforms | claude-code |
| Est. Tokens | ~166k |
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xilinx-skill is Xilinx/AMD FPGA & MPSoC Vivado design skill for Claude — covers block design, IP config, XDC constraints, synthesis, implementation and bitstream generation.. It is categorized as a AI Tool with 391 GitHub stars.
xilinx-skill is primarily written in PowerShell.
You can find installation instructions and usage details in the xilinx-skill GitHub repository at github.com/QingquanYao/xilinx-skill. The project has 391 stars and 36 forks, indicating an active community.
The top alternatives to xilinx-skill on Agent Skills Hub include EDRSilencer, perf-map-agent, shaping-skills. 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: