About threat-hunting
A threat-hunting and detection-engineering skill for blue teams. It structures work around hypotheses, data queries, validation, and detection rules, covering Sigma, YARA, alert tuning, and authorized testing.
Key features
- 01Hypothesis-driven threat hunting
- 02SIEM and endpoint data queries
- 03Sigma and YARA rule engineering
- 04False-positive analysis and alert tuning
- 05Historical log replay validation
Use cases
- 01Investigate unusual activity in endpoint or SIEM data
- 02Turn malware IOCs into detection rules
- 03Analyze alert false positives and tune rules
- 04Validate detection coverage in an authorized lab
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/threat-huntingin Claude Code to confirm it loaded.
Bundled filesreferences/hunting-loop.md
Details
From the project READMEThreat 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
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
□ 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
# 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
□ 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？
Comments
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