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 huangjia2019 · Claude Skill · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-code-engineering safe to install? View the security audit →
Claude Code 工程化实战 · 课程大纲 🎯 这是我为极客时间2026年制作的最新专栏，目标：快速掌握 Claude Code 高阶技能，进行工程化的 Agent 实战 🚀 上线一个月，万人订阅，极客时间总榜第一 开篇词：极客与 AI 的共舞 第一部分：基础篇 第 1 讲：登高望远 · Claude Code 全景导览 Claude Code 不只是一个命令行助手，而是一个可扩展的 AI Agen
| Stars | 1,120 |
| Forks | 393 |
| Language | JavaScript |
| Category | Claude Skill |
| Quality Score | 59.4409628824209/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-23 |
| Created | 2026-01-25 |
| Platforms | claude-code, node |
| Est. Tokens | ~14k |
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claude-code-engineering is This repository demonstrates how to use Claude Code to do real engineering work, not just writing code. 本项目是极客时间专栏 《Claude Code 工程化实战》 的官方配套示例仓库，目标就是： 👉 把 Claude Code 从“对话式编码工具”，变成 可设计、可复用、可治理的工程系统。. It is categorized as a Claude Skill with 1.1k GitHub stars.
claude-code-engineering is primarily written in JavaScript. It covers topics such as agent, agentic-ai, ai.
You can find installation instructions and usage details in the claude-code-engineering GitHub repository at github.com/huangjia2019/claude-code-engineering. The project has 1.1k stars and 393 forks, indicating an active community.
The top alternatives to claude-code-engineering on Agent Skills Hub include ios-simulator-skill, tuui, oreilly-ai-agents. 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: