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Analyzing Cyber Kill Chain

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mukul975
analyzing-cyber-kill-chain

Analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain framework to identify which phases an adversary has completed, where defenses succeeded or failed, and what controls would have interrupted the attack at earlier phases. Use when conducting post-incident analysis, building prevention-focused security controls, or mapping detection gaps to kill chain phases. Activates for requests involving kill chain analysis, intrusion kill chain, attack phase mapping, or Lockheed Martin kill chain framework.

Overview

Publishermukul975
RepositoryAnthropic-Cybersecurity-Skills
Skill nameanalyzing-cyber-kill-chain
Stars
32.9K
Forks
4K
Bundled files
2
LicenseApache-2.0
Links
  • 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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mukul975 on GitHub. Read the source before you install it.

Installation

Install the Analyzing Cyber Kill Chain AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/mukul975/Anthropic-Cybersecurity-Skills.git /tmp/Anthropic-Cybersecurity-Skills
mkdir -p .claude/skills
cp -r /tmp/Anthropic-Cybersecurity-Skills/skills/analyzing-cyber-kill-chain .claude/skills/analyzing-cyber-kill-chain
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Analyzing Cyber Kill Chain 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 Analyzing Cyber Kill Chain 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 Analyzing Cyber Kill Chain 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.

Analyzing Cyber Kill Chain

When to Use

Use this skill when:

  • Conducting post-incident analysis to determine how far an adversary progressed through an attack sequence
  • Designing layered defensive controls with the goal of interrupting attacks at the earliest possible phase
  • Producing threat intelligence reports that communicate attack progression to non-technical stakeholders

Do not use this skill as a standalone framework — combine with MITRE ATT&CK for technique-level granularity beyond what the 7-phase kill chain provides.

Prerequisites

  • Complete incident timeline with forensic artifacts mapped to specific adversary actions
  • MITRE ATT&CK Enterprise matrix for technique-level mapping within each kill chain phase
  • Access to threat intelligence on the suspected adversary group's typical kill chain progression
  • Post-incident report or IR timeline from responding team

Workflow

Step 1: Map Observed Actions to Kill Chain Phases

The Lockheed Martin Cyber Kill Chain consists of seven phases. Map all observed adversary actions:

Phase 1 - Reconnaissance: Adversary gathers target information before attack.

  • Indicators: DNS queries from adversary IP, LinkedIn scraping, job posting analysis, Shodan scans of organization infrastructure

Phase 2 - Weaponization: Adversary creates attack tool (malware + exploit).

  • Indicators: Malware compilation timestamps, exploit document metadata, builder artifacts in malware samples

Phase 3 - Delivery: Adversary transmits weapon to target.

  • Indicators: Phishing emails, malicious attachments, drive-by downloads, USB drops, supply chain compromise

Phase 4 - Exploitation: Adversary exploits vulnerability to execute code.

  • Indicators: CVE exploitation events in application/OS logs, memory corruption artifacts, shellcode execution

Phase 5 - Installation: Adversary establishes persistence on target.

  • Indicators: New scheduled tasks, registry run keys, service installation, web shells, bootkits

Phase 6 - Command & Control (C2): Adversary communicates with compromised system.

  • Indicators: Beaconing traffic (regular intervals), DNS tunneling, HTTPS to uncommon domains, C2 framework signatures (Cobalt Strike, Sliver)

Phase 7 - Actions on Objectives: Adversary achieves goals.

  • Indicators: Data staging/exfiltration, lateral movement, ransomware execution, destructive activity

Step 2: Identify Phase Completion and Detection Points

Create a phase matrix for the incident:

Phase 1: Recon        → Completed (undetected)
Phase 2: Weaponize    → Completed (undetected — pre-attack)
Phase 3: Delivery     → Completed; phishing email bypassed SEG
Phase 4: Exploit      → Completed; CVE-2023-23397 exploited
Phase 5: Install      → DETECTED: EDR flagged scheduled task creation (attack stalled here)
Phase 6: C2           → Not achieved (installation blocked)
Phase 7: Objectives   → Not achieved

For each phase completed without detection, document the defensive control gap.

Step 3: Map to MITRE ATT&CK for Technique Detail

Each kill chain phase maps to multiple ATT&CK tactics:

  • Delivery → Initial Access (TA0001)
  • Exploitation → Execution (TA0002)
  • Installation → Persistence (TA0003), Privilege Escalation (TA0004)
  • C2 → Command and Control (TA0011)
  • Actions on Objectives → Exfiltration (TA0010), Impact (TA0040)

Within each phase, enumerate specific ATT&CK techniques observed and map to existing detections.

Step 4: Identify Courses of Action per Phase

For each phase, document applicable defensive courses of action (COAs):

  • Detect COA: What detection would alert on adversary activity in this phase?
  • Deny COA: What control would prevent the adversary from completing this phase?
  • Disrupt COA: What control would interrupt the adversary mid-phase?
  • Degrade COA: What control would reduce the adversary's effectiveness in this phase?
  • Deceive COA: What deception (honeypots, canary tokens) would expose activity in this phase?
  • Destroy COA: What active defense capability would neutralize adversary infrastructure?

Step 5: Produce Kill Chain Analysis Report

Structure findings as:

  1. Attack narrative (timeline of phases)
  2. Phase-by-phase analysis with evidence
  3. Detection point analysis (what worked, what failed)
  4. Defensive recommendation per phase prioritized by cost/effectiveness
  5. Control improvement roadmap

Key Concepts

TermDefinition
Kill ChainSequential model of adversary intrusion phases; breaking any link theoretically stops the attack
Courses of Action (COA)Defensive responses mapped to each kill chain phase: detect, deny, disrupt, degrade, deceive, destroy
BeaconingRegular, periodic C2 check-in pattern from compromised host to adversary server; detectable by frequency analysis
Phase CompletionAdversary successfully finishes a kill chain phase and progresses to the next; defense-in-depth aims to prevent this
Intelligence Gain/LossAnalysis of whether detecting at Phase 5 (vs. Phase 3) reduced intelligence about adversary capabilities or intent

Tools & Systems

  • MITRE ATT&CK Navigator: Overlay kill chain phases with ATT&CK technique coverage for integrated analysis
  • Elastic Security EQL: Event Query Language for querying multi-phase attack sequences in Elastic SIEM
  • Splunk ES: Timeline visualization and correlation searches for kill chain phase sequencing
  • MISP: Kill chain tagging via galaxy clusters for structured incident event documentation

Common Pitfalls

  • Linear assumption: Adversaries don't always progress linearly — they may skip phases (weaponization already complete from previous campaign) or loop back (re-establish C2 after detection).
  • Ignoring Phases 1 and 2: Reconnaissance and weaponization occur before the defender has visibility. Intelligence about these phases requires external sources (OSINT, threat intelligence).
  • Missing insider threats: The kill chain was designed for external adversaries. Insider threats may skip directly to Phase 7 without traversing earlier phases.
  • Confusing with ATT&CK tactics: The 7-phase kill chain and 14 ATT&CK tactics are complementary but not directly equivalent. Maintain distinction to prevent analytic confusion.

Bundled files

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

Frequently asked questions

What does the Analyzing Cyber Kill Chain AI skill do?

Analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain framework to identify which phases an adversary has completed, where defenses succeeded or failed, and what controls would have interrupted the attack at earlier phases. Use when conducting post-incident analysis, building prevention-focused security controls, or mapping detection gaps to kill chain phases. Activates for requests involving kill chain analysis, intrusion kill chain, attack phase mapping, or Lockheed Martin kill chain framework.

Why use Analyzing Cyber Kill Chain on TypingMind?

Because you install it once and use it with any model. Analyzing Cyber Kill Chain 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 Analyzing Cyber Kill Chain in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-cyber-kill-chain. 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 Analyzing Cyber Kill Chain?

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 Analyzing Cyber Kill Chain?

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

Is the Analyzing Cyber Kill Chain AI skill free?

Yes. It is published on GitHub by mukul975 under the Apache-2.0 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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