analyzing-cyber-kill-chain

by mukul975

analyzing-cyber-kill-chain helps map intrusion activity to the Lockheed Martin Cyber Kill Chain to show what happened, where defenses held or failed, and which controls could have stopped the attack earlier. It is useful for incident response, detection-gap analysis, and analyzing-cyber-kill-chain for Threat Intelligence.

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AddedMay 9, 2026

CategoryThreat Intelligence

Install Command

npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-cyber-kill-chain

Curation Score

This skill scores 84/100, which means it is a solid directory candidate: users get a clearly triggerable cyber kill chain workflow with enough operational detail to reduce guesswork, though it is not a fully self-contained end-to-end incident playbook. For directory users, this is worth installing if they need structured post-incident mapping, phase-based control analysis, or kill-chain-to-MITRE translation.

84/100

Strengths

Strong triggerability: the frontmatter explicitly names use cases like post-incident analysis, prevention-focused controls, and attack phase mapping.
Operational support: the repository includes a substantial SKILL.md plus a script and reference material, including a phase-to-tactic matrix and ATT&CK/Navigator examples.
Good workflow specificity: the skill body includes prerequisites, constraints, and phase-oriented guidance rather than a generic cybersecurity summary.

Cautions

The skill is explicitly not a standalone framework and says it should be combined with MITRE ATT&CK for technique-level granularity, which limits independent use.
No install command is provided in SKILL.md, so adoption may require users to infer how to wire it into their agent environment.

Mitre Attack Kill Chain Penetration Testing Forensics Incident Triage Security

Overview

Overview of analyzing-cyber-kill-chain skill

The analyzing-cyber-kill-chain skill helps you map intrusion activity to the Lockheed Martin Cyber Kill Chain so you can explain what happened, what was stopped, and what controls would have broken the attack earlier. It is most useful for incident responders, threat intelligence analysts, and security architects who need a structured post-incident view rather than a generic narrative. For analyzing-cyber-kill-chain for Threat Intelligence, the main value is turning raw actions into phase-based findings that are easier to brief, compare, and defend.

What this skill is good at

It is strongest when you already have incident evidence: logs, timelines, malware notes, phishing artifacts, or analyst observations. The skill is designed to answer practical questions: how far did the adversary get, which phase failed, and where did defensive controls interrupt progression? That makes the analyzing-cyber-kill-chain skill especially useful for detection-gap analysis and executive reporting.

Where it fits and where it does not

Use it for phase mapping and control review, not for deep technique-level analysis by itself. The repository explicitly recommends pairing the kill chain with MITRE ATT&CK when you need more granularity than the seven phases provide. If you only have a vague alert or no timeline, the output will be thin; if you need exploit-by-exploit fidelity, ATT&CK is the better primary framework.

What differentiates this repo

This skill is backed by a small but practical support set: an API reference with phase-to-tactic mapping, courses of action guidance, and a Python helper script in scripts/agent.py. That combination matters because it gives you a repeatable way to translate observed activity into phases and then into defensive actions, instead of leaving you to improvise the framework from memory.

How to Use analyzing-cyber-kill-chain skill

Install and activate it

Use the analyzing-cyber-kill-chain install flow through your skills manager, then confirm the skill path is available under skills/analyzing-cyber-kill-chain. A typical install command in this repo is:

npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-cyber-kill-chain

After install, trigger it with a prompt that clearly asks for kill chain mapping, control analysis, or threat-intelligence framing.

Give it the right input shape

The skill works best when your prompt includes: the incident summary, key timestamps, observed adversary actions, known artifacts, and any controls that detected or blocked activity. For example, instead of “analyze this breach,” ask: “Map this phishing-to-ransomware incident to the cyber kill chain, identify the phases completed, note where detection occurred, and recommend controls that would have stopped earlier phases.” That is the core analyzing-cyber-kill-chain usage pattern.

Read the files in the right order

Start with SKILL.md for scope and decision rules, then read references/api-reference.md for phase mappings, COA options, and example query patterns. Check scripts/agent.py if you want the operational logic behind phase matching and indicator thinking. This is the fastest way to understand the analyzing-cyber-kill-chain guide without treating the repo like a black box.

Use a workflow that improves output

A good workflow is: collect evidence, map actions to phases, confirm where the chain was interrupted, then translate findings into prevention and detection recommendations. If you are writing a prompt for the skill, include your desired output format up front, such as “table of phases, evidence, control gaps, and recommendations.” That helps the skill produce a usable threat-intelligence or incident-response artifact instead of a loose summary.

analyzing-cyber-kill-chain skill FAQ

Is this just a prompt, or a real installable skill?

It is an installable skill with structured guidance, supporting reference material, and a helper script. That gives it more consistency than a one-off prompt, especially when multiple analysts need the same framework and terminology. The analyzing-cyber-kill-chain skill is therefore better for repeatable analysis than ad hoc prompting.

Do I need MITRE ATT&CK too?

Yes, if you need technique-level detail. The kill chain gives you a clean phase model, but it does not replace ATT&CK for precise technique mapping, detection engineering, or adversary behavior comparison. Think of the skill as the phase layer and ATT&CK as the finer-grained companion model.

Is it suitable for beginners?

Yes, if the goal is to understand intrusion progression in a clear sequence. It is less suitable if the user cannot provide evidence or does not know what the attack artifacts mean. Beginners get the best results when they ask for a table that explains each phase in plain language and ties it to observed evidence.

When should I not use it?

Do not use it when the task is purely malware reverse engineering, exploit development, or deep packet analysis without an incident timeline. It is also a poor fit if you need to classify every action by ATT&CK technique and sub-technique only. In those cases, the analyzing-cyber-kill-chain usage adds structure, but not enough technical granularity on its own.

How to Improve analyzing-cyber-kill-chain skill

Provide evidence, not just conclusions

The best results come when you supply the skill with concrete artifacts: email headers, EDR events, DNS logs, proxy records, suspicious commands, or malware timestamps. If you say “the attacker persisted,” the model has to guess the phase boundary. If you say “PowerShell launched from a phishing attachment, then a scheduled task was created,” the mapping becomes much more reliable.

Ask for phase-by-phase output

A strong prompt should request a phase table with columns like phase, supporting evidence, likely controls that failed, and recommended controls. That format forces the skill to stay tied to observable facts and makes the result easier to reuse in reports or briefings. This matters especially for analyzing-cyber-kill-chain for Threat Intelligence, where clarity is often more valuable than narrative style.

Watch for common failure modes

The main failure mode is overclaiming: treating every suspicious event as a full kill chain stage. Another is compressing multiple phases into one vague label, which makes the output less useful for control planning. To improve the analyzing-cyber-kill-chain skill, ask it to separate confirmed phases from suspected ones and to state uncertainty when the evidence is incomplete.

Iterate with a tighter second pass

After the first output, refine the prompt with missing artifacts, the environment type, and the audience. For example, ask for a version “for SOC analysts,” then a second version “for executives,” or ask it to “align recommendations to NIST CSF ID.RA and DE.CM.” That second pass usually improves the analyzing-cyber-kill-chain guide output more than adding more generic context upfront.

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