threat-hunting
Skill5 starsChanged 15 days agoMITView on GitHub
Use for blue-team threat hunting, detection engineering with Sigma/YARA, SIEM query design, and incident detection validation.
12 other projects use a version of this, 2 of them edited.
Adopted by
Most recently taken up by
- briiirussell/cybersecurity-skillstheir own version, first seen Nov 1, 2026
- allanninal/claude-code-skillstheir own version, first seen Oct 17, 2026
- saivarun3407/DFIR-AItheir own version, first seen Oct 15, 2026
- zhaoxuya520/reverse-skill-privateedited, first seen Oct 8, 2026
- Quad4-Software/skillstheir own version, first seen Oct 3, 2026
- zhaoxuya520/reverse-skilledited, first seen Sep 22, 2026
Used with
Projects with it also use web-pentest, incident-triage and 1 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
samklee1Skillweb-pentest
Orchestrates authorized web app pentesting on Kali Linux using Opus sub-agents with difficulty-aware planning (TDA/EGATS), browser-first exploration, iterative verification, two-layer review (per-sub-agent + phase-level), optional cross-model gap audit (GPT/codex via codex-plugin-cc), and enforced KB updates. Trigger on: pentesting, penetration testing, web app security assessment, vulnerability assessment, OWASP testing, PTES, attack surface mapping, API security testing, pentest reporting, or 'help me test this app'. NOT for network-only pentesting, malware analysis, reverse engineering, or CTFs.
Also in 4 projects that use this
testified-ossSkillincident-triage
Triage production incidents with severity assessment, root cause hypothesis, impact analysis, and escalation recommendations. Use when analyzing outages, errors, or production issues.
Also in 3 projects that use this
msewellSkillthreat-modeling
Produces structured threat models for software systems using STRIDE on data flow diagrams. Generates DFDs with trust boundaries, identifies threats per element, scores risks, and defines concrete mitigations. Outputs a complete threat model Markdown document through phased, interactive delivery. Use when threat modeling a system, analyzing security threats, identifying attack surfaces, performing STRIDE analysis, assessing security risks in architecture, creating a threat model document, or when the user mentions threat model, attack surface, trust boundaries, STRIDE, or security risk analysis.
Also in 3 projects that use this
Other versions12 projects use a version of this.
Word for word · 0
None found.
Edited · 2
- zhaoxuya520/reverse-skill-private★ 40k100% same
- zhaoxuya520/reverse-skill★ 38k100% same
Wrote their own version · 10
- briiirussell/cybersecurity-skills★ 489same name
- hypnguyen1209/offensive-claude★ 401same name
- jaskaranhundal/usap-skills★ 4same name
- jessefmoore/offensive-claude-code★ 2same name
- allanninal/claude-code-skills★ 1same name
- Quad4-Software/skills★ 1same name
- ftrout/secops-claude-skills★ 0same name
- imMamdouhaboammar/cybersecurity-skills★ 0same name
- muhammedbassem-pixel/claude-skills★ 0same name
- saivarun3407/DFIR-AI★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository119 other files it gives its agents.
- AGENTS.mdAGENTS.md
- templates/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
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The file
Files
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
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?
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