Source Code Audit

Community

zhaji2333

source-code-audit

当拿到源码、代码片段、反编译产物，或用户要求代码审计时调用。负责输入点→传播链→危险函数Sink的静态审计，跨语言（PHP/Java/Python/Node/Go）危险函数速查，输出可疑调用链与缺陷触发条件。

Overview

Publisher	zhaji2333
Repository	`CkSKILLS`
Skill name	`source-code-audit`
Stars	123
Forks	16
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by zhaji2333 on GitHub. Read the source before you install it.

Installation

Install the Source Code Audit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/zhaji2333/CkSKILLS/tree/main/.agents/skills/source-code-audit
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/zhaji2333/CkSKILLS.git /tmp/CkSKILLS
mkdir -p .claude/skills
cp -r /tmp/CkSKILLS/.agents/skills/source-code-audit .claude/skills/source-code-audit

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Source Code Audit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Source Code Audit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Source Code Audit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

source-code-audit — 源码审计专项深度挖掘

何时调用（触发条件）

有源码（开源项目/泄露代码/反编译产物）
用户给代码片段要求审计
前端 source map 还原出完整源码
APK 反编译后需要审计 Java/so 层
需要定位：拼接、反序列化、模板渲染、命令执行、文件操作、鉴权分支

一、静态审计方法（SAST）

核心思路


输入点 → 传播链 → 危险函数（Sink）

审计关注

拼接：SQL/命令/路径/模板
反序列化：unserialize/readObject/pickle
模板渲染：用户输入进入模板引擎
命令执行：exec/system/ProcessBuilder
文件操作：上传/下载/包含/删除
鉴权分支：哪些接口缺少权限校验

输出格式

可疑调用链（输入 → 传播 → Sink）
关键代码片段
缺陷触发条件（参数、前置校验）

二、危险函数速查（按语言）

PHP


eval / assert / system / exec / passthru / shell_exec / popen
include / require / file_get_contents / unserialize
preg_replace(e修饰符) / create_function / $$变量覆盖

Java


Runtime.exec / ProcessBuilder / readObject / XMLDecoder
SpEL / OGNL / MVEL / EL表达式
JNDI lookup / JdbcRowSetImpl / TemplatesImpl

Python


eval / exec / os.system / subprocess / pickle.loads
yaml.load(Loader=Loader) / __import__ / compile

Node.js


eval / Function() / child_process / vm.runInContext
__proto__ / constructor.prototype（原型污染）

Go


os/exec.Command / text/template（SSTI）
sql拼接 / 不安全的反序列化

三、鉴权审计要点

接口/路由是否有统一鉴权中间件
是否存在免鉴权路径（白名单/静态资源/回调）
角色判断是否可信（前端传角色 vs 服务端查库）
对象级校验：是否只校验登录不校验归属
管理接口与普通接口的权限边界

四、结合其他技能

审计发现的具体漏洞类型转对应技能深化：

注入点 → injection-vulns
反序列化 → deserialization-xxe
文件操作 → file-handling
鉴权缺陷 → auth-access-control
加密/签名算法 → auth-access-control

五、输出与报告要点

每个漏洞：输入点 / 传播链 / Sink / 缺失的校验
附代码片段与触发条件
可利用性评估（前置条件、影响面）
修复方案（代码级）

Frequently asked questions

What does the Source Code Audit AI skill do?

Why use Source Code Audit on TypingMind?

Because you install it once and use it with any model. Source Code Audit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Source Code Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaji2333/CkSKILLS/tree/main/.agents/skills/source-code-audit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Source Code Audit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Source Code Audit?

As many as you like. As long as a model supports skills, you can use Source Code Audit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Source Code Audit AI skill free?

Yes. It is published on GitHub by zhaji2333 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

source-code-audit — 源码审计专项深度挖掘

何时调用（触发条件）

一、静态审计方法（SAST）

核心思路

审计关注

输出格式

二、危险函数速查（按语言）

PHP

Java

Python

Node.js

Go

三、鉴权审计要点

四、结合其他技能

五、输出与报告要点

Frequently asked questions

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