analyzing-cyber-kill-chain

analyzing-cyber-kill-chain is a skill for Claude Code from killvxk/cybersecurity-skills-zh. It costs 85 tokens per session (1,907 once invoked), scanned A, original, Apache-2.0.

A framework for analyzing an intrusion through the seven stages of the Lockheed Martin Cyber Kill Chain, from reconnaissance to the attacker’s final objective.

In plain words
What is it for?
Use it to map evidence from an incident timeline to attack stages, identify detection gaps, and plan earlier defensive controls alongside MITRE ATT&CK.
Why use it?
It helps incident teams show how far an attack progressed and where defenses detected or could have stopped it.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the cybersecurity-skills-zh plugin — 58 skills shipped together

Good fit Use it to map evidence from an incident timeline to attack stages, identify detection gaps, and plan earlier defensive controls alongside MITRE ATT&CK.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/killvxk/cybersecurity-skills-zh/analyzing-cyber-kill-chain
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add killvxk/cybersecurity-skills-zh --skill analyzing-cyber-kill-chain
Clone the repo
git clone --depth 1 https://github.com/killvxk/cybersecurity-skills-zh

Made for: Claude Code.

Or install cybersecurity-skills-zh, the plugin that ships this one along with the rest of its 58 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for analyzing-cyber-kill-chain

README.md
[![agentmods](https://agentmods.dev/badge/skills/killvxk/cybersecurity-skills-zh/analyzing-cyber-kill-chain/github.svg)](https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-cyber-kill-chain)
Your own site
<a href="https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-cyber-kill-chain"><img src="https://agentmods.dev/badge/skills/killvxk/cybersecurity-skills-zh/analyzing-cyber-kill-chain/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for analyzing-cyber-kill-chain

Your own site · 80×15
<a href="https://agentmods.dev/skills/killvxk/cybersecurity-skills-zh/analyzing-cyber-kill-chain"><img src="https://agentmods.dev/badge/skills/killvxk/cybersecurity-skills-zh/analyzing-cyber-kill-chain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,907 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00085 $0.01907
Opus 5 $0.00043 $0.00954
Sonnet 5 $0.00017 $0.00381
Haiku 4.5 $0.00009 $0.00191

Measured 11d ago against content hash 41501ec63e5c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

analyzing-cyber-kill-chain scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/agent.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/analyzing-cyber-kill-chain/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

分析 Cyber Kill Chain

适用场景

在以下情况下使用本技能:

  • 开展事后分析,确定对手在攻击序列中推进了多远
  • 设计分层防御控制,目标是在尽可能早的阶段中断攻击
  • 生成威胁情报报告,向非技术利益相关方传达攻击进展

不适用于将本技能作为独立框架使用——应与 MITRE ATT&CK 结合使用,获取超越 7 阶段杀伤链所提供的技术级颗粒度。

前置条件

  • 包含映射到特定对手行动的取证工件的完整事件时间线
  • MITRE ATT&CK Enterprise 矩阵,用于每个杀伤链阶段内的技术级映射
  • 访问疑似对手组织典型杀伤链进展的威胁情报
  • 响应团队提供的事后报告或 IR 时间线

工作流程

步骤 1:将观察到的行动映射到杀伤链阶段

Lockheed Martin Cyber Kill Chain 包含七个阶段。映射所有观察到的对手行动:

阶段 1 - 侦察(Reconnaissance):对手在攻击前收集目标信息。

  • 指标:来自对手 IP 的 DNS 查询、LinkedIn 抓取、职位发布分析、对组织基础设施进行 Shodan 扫描

阶段 2 - 武器化(Weaponization):对手创建攻击工具(恶意软件 + 漏洞利用)。

  • 指标:恶意软件编译时间戳、漏洞利用文档元数据、恶意软件样本中的构建器工件

阶段 3 - 投递(Delivery):对手将武器传输至目标。

  • 指标:钓鱼邮件、恶意附件、水坑下载、USB 投递、供应链攻击(Supply Chain Attack)

阶段 4 - 漏洞利用(Exploitation):对手利用漏洞执行代码。

  • 指标:应用/OS 日志中的 CVE 利用事件、内存破坏工件、shellcode 执行

阶段 5 - 安装(Installation):对手在目标上建立持久化(Persistence)。

  • 指标:新的计划任务、注册表运行键、服务安装、Web Shell、Bootkit

阶段 6 - 命令与控制(C2):对手与被攻陷系统通信。

  • 指标:信标流量(固定间隔)、DNS 隧道、HTTPS 到非常见域名、C2 框架特征(Cobalt Strike、Sliver)

阶段 7 - 目标行动(Actions on Objectives):对手实现目标。

  • 指标:数据暂存/外泄(Exfiltration)、横向移动(Lateral Movement)、勒索软件(Ransomware)执行、破坏性活动

步骤 2:识别阶段完成情况和检测点

为事件创建阶段矩阵:

阶段 1: 侦察        → 已完成(未检测到)
阶段 2: 武器化      → 已完成(未检测到 — 攻击前活动)
阶段 3: 投递        → 已完成;钓鱼邮件绕过了安全邮件网关
阶段 4: 漏洞利用    → 已完成;CVE-2023-23397 被利用
阶段 5: 安装        → 已检测:EDR 标记了计划任务创建(攻击在此阻断)
阶段 6: C2          → 未达成(安装被阻断)
阶段 7: 目标行动    → 未达成

对每个未经检测就完成的阶段,记录防御控制差距。

步骤 3:映射到 MITRE ATT&CK 获取技术详情

每个杀伤链阶段映射到多个 ATT&CK 战术:

  • 投递 → 初始访问 (TA0001)
  • 漏洞利用 → 执行 (TA0002)
  • 安装 → 持久化 (TA0003)、权限提升 (TA0004)
  • C2 → 命令与控制 (TA0011)
  • 目标行动 → 数据外泄 (TA0010)、影响 (TA0040)

在每个阶段内,枚举观察到的具体 ATT&CK 技术并映射到现有检测能力。

步骤 4:识别每个阶段的行动方案

对每个阶段,记录适用的防御行动方案(COA):

  • 检测 COA:哪种检测能够对该阶段的对手活动发出告警?
  • 拒止 COA:哪种控制能够阻止对手完成该阶段?
  • 干扰 COA:哪种控制能够在阶段中途中断对手?
  • 降级 COA:哪种控制能够降低对手在该阶段的有效性?
  • 欺骗 COA:哪种欺骗手段(蜜罐、金丝雀令牌)能够暴露该阶段的活动?
  • 摧毁 COA:哪种主动防御能力能够中和对手基础设施?

步骤 5:生成杀伤链分析报告

按以下结构组织发现结果:

  1. 攻击叙述(阶段时间线)
  2. 逐阶段分析及证据
  3. 检测点分析(何处成功,何处失败)
  4. 按成本/效益优先排序的逐阶段防御建议
  5. 控制改进路线图

Read the full file on GitHub · 125 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 125 lines · 85 tokens per session scan A 41501ec63e5c

Subscribe to this mod's changes

analyzing-cyber-kill-chain is a skill published in the GitHub repository killvxk/cybersecurity-skills-zh (44 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 85 tokens to every session and 1,907 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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