zero2Agent is a tutorial repository that teaches software developers how to build AI agents, covering core concepts, model APIs, tools, memory, frameworks, implementation, and complete projects. It is intended for programmers learning agent engineering and for candidates preparing for agent-related technical interviews.
Borrowing it
Nothing to install: this file belongs to ranxi2001/zero2Agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ranxi2001/zero2Agent/main/.agents/skills/new-module/SKILL.mdgit clone --depth 1 https://github.com/ranxi2001/zero2AgentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ranxi2001/zero2agent/new-module)<a href="https://agentmods.dev/skills/ranxi2001/zero2agent/new-module"><img src="https://agentmods.dev/badge/skills/ranxi2001/zero2agent/new-module/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ranxi2001/zero2agent/new-module"><img src="https://agentmods.dev/badge/skills/ranxi2001/zero2agent/new-module.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00095 | $0.00871 |
| Opus 5.5 | $0.00038 | $0.00348 |
| Sonnet 5.5 | $0.00019 | $0.00174 |
| Haiku 4.5 | $0.00010 | $0.00087 |
Grade A, and why
new-module scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
new-module:创建新学习模块
本技能用于在 zero2Agent 项目中新建一个学习模块,并同步更新所有相关导航。
现有模块结构(参考)
zero2Agent/
├── learn-agent-basic/ # Module 01 — 08 篇文章
├── learn-agent-survey/ # Module 02 — 13 篇文章
├── learn-agent-training/ # Module 03 — 06 篇文章
├── learn-langgraph/ # Module 04 — 07 篇文章
├── learn-claude-code/ # Module 05 — 12 篇文章
├── learn-sdk-frameworks/ # Module 06 — 04 篇文章
├── learn-openclaw/ # Module 07 — 09 篇文章
├── learn-agent-interview/ # Module 09 — 08 篇(维度拆解 + 面经实录)
└── final-project/ # Module 10 — 占位符
每个模块是根目录下的一个子目录,包含 index.md 作为模块入口。
模块 index.md 结构
---
layout: default
title: {module-dir-name}
description: {模块一句话描述,15–30 字}
eyebrow: Module {NN}
---
# {module-dir-name}
{2–3 句话:这个模块解决什么问题,适合什么阶段的读者}
## 这部分的主线
{3–5 个 bullet,说明核心学习路径}
## 建议阅读顺序
{初始为空,随文章增加而补充}
## 后续可补充的文章
- [ ] {建议文章1}
- [ ] {建议文章2}
- [ ] {建议文章3}
需要同步更新的位置
创建新模块时,必须更新以下 3 处:
1. _layouts/default.html — 顶部导航
在 <nav class="doc-nav"> 中添加链接:
<a href="{module-dir}/index.html">{显示名称}</a>
2. _layouts/default.html — 侧边栏
在 <aside class="doc-sidebar"> 中添加链接(按编号顺序):
<a href="{module-dir}/index.html">{NN}. {module-dir-name}</a>
3. index.html 主页 — 模块卡片
在主页的模块列表区域添加新卡片。参考现有卡片的 HTML 结构,保持格式一致。
执行步骤
-
收集信息:如果用户没有提供,先确认:
- 模块编号(
NN,当前最大为 10) - 模块目录名(如
learn-mcp) - 模块显示名(如
MCP) - 模块描述(一句话)
- 模块主线(预期涵盖哪些主题)
- 模块编号(
-
创建目录和文件:
mkdir -p {module-dir}/写入
{module-dir}/index.md。 -
更新
_layouts/default.html:- 在
<nav class="doc-nav">中添加导航链接 - 在
<aside class="doc-sidebar">中添加侧边栏链接
- 在
-
更新
index.html:在主页模块卡片区域追加新模块的卡片 HTML。 -
输出确认:列出创建/修改的所有文件,说明模块编号和导航位置。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 97 lines · 95 tokens per session scan A 704ed7c4eaf7
new-module is a skill published in the GitHub repository ranxi2001/zero2Agent (1,026 stars, last pushed yesterday), licensed MIT. It adds 95 tokens to every session and 871 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
new-module compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| new-moduleranxi2001/zero2Agent | Skill | 1.0k | yesterday | MIT | A | 95 | Claude Code, Codex |
| ace-rsi-toolkitPrism-Shadow/penguin-harness | Skill | 3.2k | yesterday | Apache-2.0 | A | 69 | Claude Code, Codex |
| interactive-dashboardginlix-ai/LangAlpha | Skill | 2.2k | yesterday | Apache-2.0 | A | 21 | Claude Code, Codex |
| dcf-modelginlix-ai/LangAlpha | Skill | 2.2k | yesterday | Apache-2.0 | A | 56 | Claude Code, Codex |
| comps-analysisginlix-ai/LangAlpha | Skill | 2.2k | yesterday | Apache-2.0 | A | 48 | Claude Code, Codex |
| company-profileginlix-ai/LangAlpha | Skill | 2.2k | yesterday | Apache-2.0 | A | 68 | Claude Code, Codex |
| html-reportginlix-ai/LangAlpha | Skill | 2.2k | yesterday | Apache-2.0 | A | 29 | Claude Code, Codex |