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 ascend-ai-coding · Agent Tool · ★ 170
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-ascend-skills safe to install? View the security audit →
Awesome Ascend Skills 这是一个给昇腾 NPU 开发者使用的 skills 仓库。内容按 Skill 组织，可被 Claude Code、OpenCode、Cursor、Trae、Codex 等 AI 编程工具读取。 GitHub Pages: https://ascend-ai-coding.github.io/awesome-ascend-skills/ skills.sh: https://skills.sh/ascend-ai-coding/awesome-ascend-skills 目录 简介 快速开始 安装指南 开发目录 Skill 导航 外部 Skills Skill 工作原理 治理规范 贡献指南 提交 PR 官方文档 许可证 简介 Awesome Ascend Skills 收集昇腾 NPU 开发中常用的排障、部署、迁移和分析经验。仓库里主要有四类内容： 单个 skill：处理一个明确问题，比如 、 领域技能包：把同一方向的多个子 skill 放在一起，比如 官方安装包：按常见工作方向拆好的 bundle，比如 、 外部同步 skills：从其他 Ascend skill 仓库同步进来的内容 当前目录模型： 所有本地 skills 统一位于 是本地 skill 的唯一正式路径 是外部同步 skills 的独立目录，不参与本地路径规则 第一次使用时，不必从完整列表里一个个挑。先看 ，确定自己要装哪个方向，再去 执行命令。 快速开始 我应该先装什么？ text Start ├─ 你是第一次使用，或者还不确定该装什么？ │ ├─ Yes → 先安装 │ └─ No → 进入下一步 │ ├─ 你的主要任务是什么？ │ ├─ 推理 / 模型转换 / 服务部署 │ │ └─ 安装 + │ ├─ 训练 / 通信 / MindSpeed-LLM │ │ └─ 安装 + │ ├─ Profiling 采集 / 性能瓶颈分析 │ │ └─ 安装 + │ ├─ 算子开发 / Triton 迁移 / op-plugin 接
| Stars | 170 |
| Forks | 59 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 57.3831938771983/100 |
| Open Issues | 19 |
| Last Updated | 2026-09-18 |
| Created | 2026-02-14 |
| Platforms | python |
| Est. Tokens | ~25k |
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awesome-ascend-skills is A comprehensive knowledge base for Huawei Ascend NPU development, structured as distributed Agent Skills. https://ascend-ai-coding.github.io/awesome-ascend-skills/. It is categorized as a Agent Tool with 170 GitHub stars.
awesome-ascend-skills is primarily written in Python.
You can find installation instructions and usage details in the awesome-ascend-skills GitHub repository at github.com/ascend-ai-coding/awesome-ascend-skills. The project has 170 stars and 59 forks, indicating an active community.
The top alternatives to awesome-ascend-skills on Agent Skills Hub include claude-plugins, tutor-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: