Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by zwl698 · Agent Tool · ★ 90
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-code-go safe to install? View the security audit →
claude-code-go 基于 Claude Code v2.1.88 Source Map 还原并翻译为 Go 语言的非官方实现 ⚠️ 警告：本仓库为非官方整理版，基于公开 npm 发布包与 Source Map 分析还原，仅供研究使用。不代表官方原始内部开发仓库结构。 📖 项目说明 什么是 Claude Code？ Claude Code 是 Anthropic 官方推出的 AI 编程助手命令行工具，可以帮助开发者： 理解和导航代码库 编写和编辑代码 执行终端命令 调试和修复问题 与 MCP (Model Context Protocol) 服务器集成 本项目目的 本项目通过 npm 发布包内附带的 Source Map（）还原了 TypeScript 源码（版本 2.1.88），并将其翻译为 Go 语言实现。 还原规模： 还原文件数：4756 个（含 1884 个 / 源文件） 还原方式：提取 中的 字段 为什么选择 Go 版本？ 单二进制分发：无需 Node.js 运行时，编译后单个可执行文件即可运行 跨平台支持：支持 Linux、macOS、Windows 等多平台 性能优势：Go 语言的并发模型更适合处理 I/O 密集型任务 易于部署：静态编译，无外部依赖 项目学习文档：https://nangongwentian-fe.github.io/learn-claude-source/ 🔄 翻译进度 已完成模块
| Stars | 90 |
| Forks | 44 |
| Language | Go |
| Category | Agent Tool |
| Quality Score | 59.6386138101644/100 |
| Last Updated | 2026-04-08 |
| Created | 2026-03-31 |
| Platforms | claude-code, cli, go |
| Est. Tokens | ~5522k |
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claude-code-go is 本仓库通过 npm 发布包（@anthropic-ai/claude-code）内附带的 source map（cli.js.map）还原的 TypeScript 源码，版本为 2.1.88。本从仓库翻译为go版本. It is categorized as a Agent Tool with 90 GitHub stars.
claude-code-go is primarily written in Go. It covers topics such as ai-agent, ai-coding, claude-code.
You can find installation instructions and usage details in the claude-code-go GitHub repository at github.com/zwl698/claude-code-go. The project has 90 stars and 44 forks, indicating an active community.
The top alternatives to claude-code-go on Agent Skills Hub include dispatch, awesome-system-prompts, claude-context-local. 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: