Agent skill

Analyzing Cyber Kill Chain

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

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…

Apache-2.0Auto-check passedSecurity

Install Analyzing Cyber Kill Chain

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-cyber-kill-chain -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-cyber-kill-chain --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analyzing-cyber-kill-chain .claude/skills/analyzing-cyber-kill-chain && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
analyzing-cyber-kill-chain
GitHub stars
34k
Token cost
~1.8k tokens
SKILL.md length
746 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

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…

  • Works in 5 steps: Map Observed Actions to Kill Chain Phases → Identify Phase Completion and Detection… → Map to MITRE ATT&CK for Technique Detail → …
  • Conducting post-incident analysis
  • SKILL.md covers When to Use, Prerequisites, Workflow and Key Concepts, plus 2 more sections
  • Runs Python scripts from its folder

What it does

Analyzing Cyber Kill Chain is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. 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.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).

It sits in Security. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • Conducting post-incident analysis
  • Building prevention-focused security controls
  • Mapping detection gaps to kill chain phases

Example prompts

  • “Use the analyzing-cyber-kill-chain skill to analyz intrusion activity against the Lockheed Martin Cyber Kill Chain framework to identify which…”
  • “/analyzing-cyber-kill-chain”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Map Observed Actions to Kill Chain Phases
  2. Identify Phase Completion and Detection Points
  3. Map to MITRE ATT&CK for Technique Detail
  4. Identify Courses of Action per Phase
  5. Produce Kill Chain Analysis Report

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Analyzing Cyber Kill Chain loads about 1.8k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 137 tokens; SKILL.md has 746 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~137
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 746 words, ~1,820 tokens.

Download SKILL.mdSave it as .claude/skills/analyzing-cyber-kill-chain/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
analyzing-cyber-kill-chain
description
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.
domain
cybersecurity
subdomain
threat-intelligence
tags
kill-chain, Lockheed-Martin, MITRE-ATT&CK, intrusion-analysis, defense-in-depth, NIST-CSF
version
1.0.0
author
team-cybersecurity
license
Apache-2.0
nist_csf
ID.RA-01, ID.RA-05, DE.CM-01, DE.AE-02
mitre_attack
T1566.001, T1190, T1547.001, T1071.001, T1486

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?
Show full SKILL.md (283 more words)Show less
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.

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in skills/analyzing-cyber-kill-chain of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • references/api-reference.md
  • scripts/agent.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

Analyzing Cyber Kill Chain next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Analyzing Cyber Kill Chain compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Analyzing Cyber Kill Chain this skillmukul975/Anthropic-Cybersecurity-Skills34k—~1.8kAutomated safety check: PassApache-2.0
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Skill Scannergetsentry/skills1k4 repos~2.5kAutomated safety check: WarnApache-2.0
Serenity Aleabitoreddityan-labs/serenity-aleabitoreddit4811 repos~3.3kAutomated safety check: PassNone
Security Alert Triageelastic/agent-skills5921 repos~3.5kAutomated safety check: NotesApache-2.0
Shiro Attack CLISummerSec/ShiroAttack22.6k—~945Automated safety check: PassMIT

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Categories

Questions about Analyzing Cyber Kill Chain

What does Analyzing Cyber Kill Chain 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…. Analyzing Cyber Kill Chain is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. 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.

When should I use Analyzing Cyber Kill Chain?

Analyzing Cyber Kill Chain fits situations like: conducting post-incident analysis; building prevention-focused security controls; mapping detection gaps to kill chain phases.

How do I install Analyzing Cyber Kill Chain in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-cyber-kill-chain -a claude-code`. Or copy the skill folder (skills/analyzing-cyber-kill-chain in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/analyzing-cyber-kill-chain in your project. Claude Code loads it when a task matches its description.

How do I install Analyzing Cyber Kill Chain in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-cyber-kill-chain -a codex`. Or copy the skill folder (skills/analyzing-cyber-kill-chain in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/analyzing-cyber-kill-chain in your project. Codex loads it when a task matches its description.

Can I use Analyzing Cyber Kill Chain in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-cyber-kill-chain -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyzing-cyber-kill-chain, .gemini/skills/analyzing-cyber-kill-chain, .github/skills/analyzing-cyber-kill-chain and .opencode/skills/analyzing-cyber-kill-chain in your project.

What does Analyzing Cyber Kill Chain need to run?

Going by SKILL.md and its folder, Analyzing Cyber Kill Chain needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Analyzing Cyber Kill Chain access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Analyzing Cyber Kill Chain safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Analyzing Cyber Kill Chain use?

Analyzing Cyber Kill Chain is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Analyzing Cyber Kill Chain use?

About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 688 tokens, read only when the agent opens those files.

What are the alternatives to Analyzing Cyber Kill Chain?

Skills that share tags, products or a category with Analyzing Cyber Kill Chain: Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars), Skill Scanner (getsentry/skills, 1k stars), Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 481 stars) and Security Alert Triage (elastic/agent-skills, 592 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyzing Cyber Kill Chain?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.