Source Code Hunting

OrganizationPopular

AIPentest

source-code-hunting

源码狩猎:.git泄露,危险函数grep,JS RC4解混淆,semgrep/CodeQL,trufflehog,patch diff,供应链/CI。Use when hunting source leaks, secrets, JS deobfuscation, or supply-chain issues.

Overview

Publisher	AIPentest
Repository	`CyberStrikeAI`
Skill name	`source-code-hunting`
Stars	6.9K
Forks	1.2K
Bundled files	Instructions only
License	Apache-2.0
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 AIPentest on GitHub. Read the source before you install it.

Installation

Install the Source Code Hunting 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.
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/AIPentest/CyberStrikeAI.git /tmp/CyberStrikeAI
mkdir -p .claude/skills
cp -r /tmp/CyberStrikeAI/skills/source-code-hunting .claude/skills/source-code-hunting

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

Use it in TypingMind

Enable Source Code Hunting 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 Hunting 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 Hunting 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.

源码狩猎


=== 源码狩猎 ===
.git泄露: git-dumper → git log -p --all(已删敏感文件) | .svn/.DS_Store/composer.lock
危险函数grep: exec/system/eval/unserialize/pickle.loads/render/curl_exec + 硬编码密钥(sk-/ghp_/BEGIN RSA)
JS混淆破解(RC4+base64字符串数组模式): 1)提取字符串数组(var a0G=[...]) 2)找解码函数(a0m(idx,key)→RC4解密+base64) 3)找rotation IIFE(目标偏移量) 4)Node.js重建解码器批量解码全部字符串→得到明文变量名/API路径/配置
  UniApp特征: app-service.js(业务逻辑,常800KB+混淆) + zlsioh.dat(加密配置,native .so解密) + dcloud_uniplugins.json(插件清单)
静态扫描: semgrep --config=auto 快扫 / CodeQL建库写query (taint求解+变体分析方法论见 `zero-day-discovery`)
Secrets深挖: trufflehog/gitleaks 扫git全历史+docker镜像层+npm/PyPI tarball+前端bundle(--only-verified区分死活密钥)
框架Patch Diff: clone前后版本 diff → 修了什么=漏洞在哪 | 依赖链: composer.json/npm audit/pip-audit
供应链/CI: 依赖混淆(内部包名抢注公共registry) | GHA命令注入${{github.event.issue.title}} | self-hosted runner接管 | .npmrc/.pypirc凭据

Frequently asked questions

What does the Source Code Hunting AI skill do?

源码狩猎:.git泄露,危险函数grep,JS RC4解混淆,semgrep/CodeQL,trufflehog,patch diff,供应链/CI。Use when hunting source leaks, secrets, JS deobfuscation, or supply-chain issues.

Why use Source Code Hunting on TypingMind?

Because you install it once and use it with any model. Source Code Hunting 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 Hunting in TypingMind?

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

Which AI models can use Source Code Hunting?

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 Hunting?

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

Is the Source Code Hunting AI skill free?

Yes. It is published on GitHub by AIPentest under the Apache-2.0 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

源码狩猎

Frequently asked questions

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