threat-hunting SKILL.md skillA
threat-hunting from novaestellar/novahaku is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add novaestellar/novahaku/threat-hunting@git:20260910.546fe86Pins git:20260910.546fe86 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- novaestellar/novahaku
- Path
testing/threat-hunting/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260910.546fe86, committed Sep 10, 2026
- Size
- 2,114 bytes
- Repository stars
- 28
- License
- MIT
Use for blue-team threat hunting, detection engineering with Sigma/YARA, SIEM query design, and incident detection validation.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Threat Hunting & Detection Engineering ## ACTION REQUIRED（读完后立刻执行） 1. `NOW`: 确认蓝队/狩猎授权与数据源范围（SIEM、EDR 导出） 2. `NOW`: 明确假说（hypothesis）再查数，避免无脑刷告警 3. `NEXT`: 工具与数据接入方式 4. `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？ …
Read the whole file at its exact version.
How to install
mdr add novaestellar/novahaku/threat-hunting@sha256:dfd5f4391bd9e2e0The line at the top of this page pins the label git:20260910.546fe86, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_pberwve25ppib7cd)
6 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 10, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2114 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
novaestellar/novahaku · 28 stars · license MIT · pushed 2026-09-28 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_pberwve25ppib7cd GET https://markdownregistry.com/api/v1/resolve?ref=novaestellar/novahaku/threat-hunting GET https://markdownregistry.com/api/v1/blob/dfd5f4391bd9e2e0f09909099c441c2a775ae75777785bf030ccf7346d4949dc
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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