Analyzing Threat Actor Ttps With Mitre Navigator logo

Analyzing Threat Actor Ttps With Mitre Navigator

Organization
costrict-plugins-repo
analyzing-threat-actor-ttps-with-mitre-navigator

Map advanced persistent threat (APT) group TTPs to the MITRE ATT&CK framework using the attackcti Python library to query STIX/TAXII data for group-technique associations, then generate ATT&CK Navigator layer files to visualize and compare defensive coverage against adversary profiles. Use when profiling an APT group's techniques, building Navigator coverage heatmaps, or assessing technique coverage gaps against a specific threat actor.

Overview

Publishercostrict-plugins-repo
Repositorymukul975-anthropic-cybersecurity-skills-cybersecurity-skills
Skill nameanalyzing-threat-actor-ttps-with-mitre-navigator
Stars
75
Forks
13
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 costrict-plugins-repo on GitHub. Read the source before you install it.

Installation

Install the Analyzing Threat Actor Ttps With Mitre Navigator 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.
    https://github.com/costrict-plugins-repo/mukul975-anthropic-cybersecurity-skills-cybersecurity-skills/tree/main/skills/analyzing-threat-actor-ttps-with-mitre-navigator
  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/costrict-plugins-repo/mukul975-anthropic-cybersecurity-skills-cybersecurity-skills.git /tmp/mukul975-anthropic-cybersecurity-skills-cybersecurity-skills
mkdir -p .claude/skills
cp -r /tmp/mukul975-anthropic-cybersecurity-skills-cybersecurity-skills/skills/analyzing-threat-actor-ttps-with-mitre-navigator .claude/skills/analyzing-threat-actor-ttps-with-mitre-navigator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Analyzing Threat Actor Ttps With Mitre Navigator 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 Threat Actor Ttps With Mitre Navigator 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 Threat Actor Ttps With Mitre Navigator 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 Threat Actor TTPs with MITRE Navigator

Overview

The MITRE ATT&CK Navigator is a web application for annotating and visualizing ATT&CK matrices. Combined with the attackcti Python library (which queries ATT&CK STIX data via TAXII), analysts can programmatically generate Navigator layer files mapping specific threat group TTPs, compare multiple groups, and assess detection coverage gaps against known adversaries.

When to Use

  • When investigating security incidents that require analyzing threat actor ttps with mitre navigator
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • Python 3.8+ with attackcti and stix2 libraries installed
  • MITRE ATT&CK Navigator (web UI or local instance)
  • Understanding of STIX 2.1 objects and relationships

Steps

  1. Query ATT&CK STIX data for target threat group using attackcti
  2. Extract techniques associated with the group via STIX relationships
  3. Generate ATT&CK Navigator layer JSON with technique annotations
  4. Overlay detection coverage to identify gaps
  5. Export layer for team review and defensive planning

Expected Output

json
{
  "name": "APT29 TTPs",
  "domain": "enterprise-attack",
  "techniques": [
    {"techniqueID": "T1566.001", "score": 1, "comment": "Spearphishing Attachment"},
    {"techniqueID": "T1059.001", "score": 1, "comment": "PowerShell"}
  ]
}

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 Threat Actor Ttps With Mitre Navigator AI skill do?

Map advanced persistent threat (APT) group TTPs to the MITRE ATT&CK framework using the attackcti Python library to query STIX/TAXII data for group-technique associations, then generate ATT&CK Navigator layer files to visualize and compare defensive coverage against adversary profiles. Use when profiling an APT group's techniques, building Navigator coverage heatmaps, or assessing technique coverage gaps against a specific threat actor.

Why use Analyzing Threat Actor Ttps With Mitre Navigator on TypingMind?

Because you install it once and use it with any model. Analyzing Threat Actor Ttps With Mitre Navigator 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 Threat Actor Ttps With Mitre Navigator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/costrict-plugins-repo/mukul975-anthropic-cybersecurity-skills-cybersecurity-skills/tree/main/skills/analyzing-threat-actor-ttps-with-mitre-navigator. 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 Threat Actor Ttps With Mitre Navigator?

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 Threat Actor Ttps With Mitre Navigator?

As many as you like. As long as a model supports skills, you can use Analyzing Threat Actor Ttps With Mitre Navigator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Analyzing Threat Actor Ttps With Mitre Navigator AI skill free?

Yes. It is published on GitHub by costrict-plugins-repo 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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