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 liiiiiiiiil · Codex Skill · ★ 91
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-from-scratch safe to install? View the security audit →
agent-from-scratch 逐步生长的编程 Agent：从零开始构建一个能干活的 AI Agent 从最小的 agent loop 开始，按 Git tag 和能力阶段逐步加入工具、安全、上下文和可靠执行能力。 English · 中文 适合想用 Python 标准库理解 LLM agent 如何运行的开发者。每课聚焦一个版本相对上一版新增的核心概念，源码、diff 和设计取舍都可追溯。 当前状态：主线代码和教程到 （第 25 课：计划轨迹回放与验收）。教程以默认分支的 为准；运行某课时再切换该课声明的代码 tag。 快速入口：运行 · 学习路径 · 学习指南 · 完整手册 学习路径 版本主题简介 阶段一 · 理解 Agent Loop v0.01最简 agent loop建立最小对话循环，理解请求、回复与结束条件。 阶段二 · 工具与安全 v0.02第一个工具接入 calculate，跑通 function calling 基本协议。 v0.03文件读写工具
| Stars | 91 |
| Forks | 5 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 64.4746126471781/100 |
| Last Updated | 2026-09-28 |
| Created | 2026-08-26 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
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agent-from-scratch is Build an AI Coding Agent from Scratch, Step by Step | 从零一步步搭建 AI 编程 Agent，边实现边理解 Agent 的工作原理. It is categorized as a Codex Skill with 91 GitHub stars.
agent-from-scratch is primarily written in Python. It covers topics such as agent-from-scratch, agent-tutorial, agentic-ai.
You can find installation instructions and usage details in the agent-from-scratch GitHub repository at github.com/liiiiiiiiil/agent-from-scratch. The project has 91 stars and 5 forks, indicating an active community.
agent-from-scratch is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-from-scratch on Agent Skills Hub include palot, golembot, speq-skill. 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: