build-claude-code — security grade SAFE, quality 61/100

Security audit verdict: SAFE · quality 61/100

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 OPBR · Agent Tool · ★ 136

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is build-claude-code safe to install? View the security audit →

About build-claude-code

Build Claude Code 中文 | English 从0到1构建 Claude Code 风格的 AI Coding Agent 简介 这是一个渐进式学习项目,用 TypeScript 从零开始构建一个完整的 AI 编程代理。我们将逐步实现 Claude Code 的所有核心机制: 本项目灵感来自 learn-claude-code(59.7k ⭐),原项目 Agent 核心由 Python 实现,本项目使用 TypeScript 重写 Agent 逻辑本身,目前已完成 s01–s13,持续更新中。适合希望在 Node.js / TypeScript 生态中深入理解 Harness 工程的开发者。 核心循环 工具系统 任务规划 上下文压缩 多代理协作 工作树隔离 核心理念:智能来自模型训练,Harness(套件)只是让智能得以表达的载体。我们构建的是载体,不是智能本身。 学习路线 Background Ta

agentagent-designai-agentclaude-codeteachingtypescript

Quick Facts

Stars136
Forks18
LanguageTypeScript
CategoryAgent Tool
Quality Score60.5654508736216/100
Last Updated2026-09-20
Created2026-04-19
Platformsclaude-code, node
Est. Tokens~15k

Compatible Skills

These tools work well together with build-claude-code for enhanced workflows:

  • Claw-ED — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • claude-skills — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
  • styleseed — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • Claude-Zeroclaw — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • melta-ui — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)

build-claude-code alternative? Top 6 similar tools

Looking for a build-claude-code alternative? If you're comparing build-claude-code 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.

  • Overture by SixHq · ⭐ 630

    Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server

  • claudex by Mng-dev-ai · ⭐ 224

    Your own Claude Code UI, sandbox, in-browser VS Code, terminal, multi-provider support (Anthropic, OpenAI, Git

  • deterministic-agent-control-protocol by elliot35 · ⭐ 89

    Governance gateway for AI agents — bounded, auditable, session-aware control with MCP proxy, shell proxy & HTT

  • wcgw by rusiaaman · ⭐ 674

    Shell and coding agent on mcp clients

  • dexto by truffle-ai · ⭐ 650

    Agent harness and tookit for building AI agents and agentic applications. CLI and SDKs included

  • Mantic.sh by marcoaapfortes · ⭐ 555

    A structural code search engine for Al agents.

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Frequently Asked Questions

What is build-claude-code?

build-claude-code is 从0到1构建 Claude code (学习版). It is categorized as a Agent Tool with 136 GitHub stars.

What programming language is build-claude-code written in?

build-claude-code is primarily written in TypeScript. It covers topics such as agent, agent-design, ai-agent.

How do I install or use build-claude-code?

You can find installation instructions and usage details in the build-claude-code GitHub repository at github.com/OPBR/build-claude-code. The project has 136 stars and 18 forks, indicating an active community.

What are the best alternatives to build-claude-code?

The top alternatives to build-claude-code on Agent Skills Hub include Overture, claudex, deterministic-agent-control-protocol. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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