Threat Hunting

CommunityPopular

zhaoxuya520

threat-hunting

Use for blue-team threat hunting, detection engineering with Sigma/YARA, SIEM query design, and incident detection validation.

Overview

Publisher	zhaoxuya520
Repository	`reverse-skill`
Skill name	`threat-hunting`
Stars	41K
Forks	5.8K
Bundled files	1
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by zhaoxuya520 on GitHub. Read the source before you install it.

Installation

Install the Threat 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.
https://github.com/zhaoxuya520/reverse-skill/tree/main/skills/threat-hunting
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/zhaoxuya520/reverse-skill.git /tmp/reverse-skill
mkdir -p .claude/skills
cp -r /tmp/reverse-skill/skills/threat-hunting .claude/skills/threat-hunting

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

Use it in TypingMind

Enable Threat 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 Threat 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 Threat 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.

Threat Hunting & Detection Engineering

ACTION REQUIRED（读完后立刻执行）

NOW: 确认蓝队/狩猎授权与数据源范围（SIEM、EDR 导出）
NOW: 明确假说（hypothesis）再查数，避免无脑刷告警
NEXT: 工具与数据接入方式
ACT: 假说 → 查询 → 验证 → 规则化

适用场景

威胁狩猎（hypothesis-driven）
Sigma / YARA 检测工程
告警调优、误报分析
与 malware-analysis/：样本侧 IOC → 本 skill 落地检测
与 digital-forensics/：案件伪影 → 横向狩猎

工作流

1. 建假说

text
例：攻击者用 living-off-the-land 做横向
→ 数据源：Sysmon 1/3/10、Windows Security 4624/4648
→ 成功标准：发现异常父进程或罕见账户日志源

2. 查询与堆叠

text
□ 基线：正常管理员行为时段与主机
□ 异常：新服务、编码 PowerShell、异常出站
□ 关联：同账号多主机短时登录

3. 规则化

yaml
# Sigma 骨架见 malware-analysis；本 skill 强调：
# - 误报面
# - 数据源字段映射
# - 响应 playbook 链接

4. 验证

text
□ 原子测试（Atomic Red Team）仅在授权实验室
□ 回放历史日志验证召回

工具链

工具	用途
Sigma CLI / sigmac	规则转换
YARA	文件/内存
SIEM（ELK/Splunk 等）	查询
osquery	端点狩猎
Atomic Red Team	检测验证（实验室）

参考

references/hunting-loop.md
../malware-analysis/references/yara-sigma-rules.md
../digital-forensics/

路由上下文

上游: MASTER R27
下游: 确认入侵 → forensics；恶意样本 → malware-analysis
MUST NOT: 在无授权生产环境跑攻击模拟

任务完成自检

是否有明确假说与结论？
规则是否注明误报与数据源？
Checklist？

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/hunting-loop.md1 KB

Frequently asked questions

What does the Threat Hunting AI skill do?

Use for blue-team threat hunting, detection engineering with Sigma/YARA, SIEM query design, and incident detection validation.

Why use Threat Hunting on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaoxuya520/reverse-skill/tree/main/skills/threat-hunting. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Threat 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 Threat Hunting?

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

Is the Threat Hunting AI skill free?

Yes. It is published on GitHub by zhaoxuya520 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

Threat Hunting & Detection Engineering

ACTION REQUIRED（读完后立刻执行）

适用场景

工作流

1. 建假说

2. 查询与堆叠

3. 规则化

4. 验证

工具链

参考

路由上下文

任务完成自检

Bundled files

Frequently asked questions

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