Red Team Tactics logo

Red Team Tactics

CommunityPopular
vudovn
red-team-tactics

Red team tactics principles based on MITRE ATT&CK. Attack phases, detection evasion, reporting.

Overview

Publishervudovn
Repositoryag-kit
Skill namered-team-tactics
Stars
8.2K
Forks
1.5K
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Red Team Tactics 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/vudovn/ag-kit/tree/main/.agents/skills/red-team-tactics
  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/vudovn/ag-kit.git /tmp/ag-kit
mkdir -p .claude/skills
cp -r /tmp/ag-kit/.agents/skills/red-team-tactics .claude/skills/red-team-tactics
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Red Team Tactics 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 Red Team Tactics 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 Red Team Tactics 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.

Red Team Tactics

Adversary simulation principles based on MITRE ATT&CK framework.


1. MITRE ATT&CK Phases

Attack Lifecycle

RECONNAISSANCE → INITIAL ACCESS → EXECUTION → PERSISTENCE
       ↓              ↓              ↓            ↓
   PRIVILEGE ESC → DEFENSE EVASION → CRED ACCESS → DISCOVERY
       ↓              ↓              ↓            ↓
LATERAL MOVEMENT → COLLECTION → C2 → EXFILTRATION → IMPACT

Phase Objectives

PhaseObjective
ReconMap attack surface
Initial AccessGet first foothold
ExecutionRun code on target
PersistenceSurvive reboots
Privilege EscalationGet admin/root
Defense EvasionAvoid detection
Credential AccessHarvest credentials
DiscoveryMap internal network
Lateral MovementSpread to other systems
CollectionGather target data
C2Maintain command channel
ExfiltrationExtract data

2. Reconnaissance Principles

Passive vs Active

TypeTrade-off
PassiveNo target contact, limited info
ActiveDirect contact, more detection risk

Information Targets

CategoryValue
Technology stackAttack vector selection
Employee infoSocial engineering
Network rangesScanning scope
Third partiesSupply chain attack

3. Initial Access Vectors

Selection Criteria

VectorWhen to Use
PhishingHuman target, email access
Public exploitsVulnerable services exposed
Valid credentialsLeaked or cracked
Supply chainThird-party access

4. Privilege Escalation Principles

Windows Targets

CheckOpportunity
Unquoted service pathsWrite to path
Weak service permissionsModify service
Token privilegesAbuse SeDebug, etc.
Stored credentialsHarvest

Linux Targets

CheckOpportunity
SUID binariesExecute as owner
Sudo misconfigurationCommand execution
Kernel vulnerabilitiesKernel exploits
Cron jobsWritable scripts

5. Defense Evasion Principles

Key Techniques

TechniquePurpose
LOLBinsUse legitimate tools
ObfuscationHide malicious code
TimestompingHide file modifications
Log clearingRemove evidence

Operational Security

  • Work during business hours
  • Mimic legitimate traffic patterns
  • Use encrypted channels
  • Blend with normal behavior

6. Lateral Movement Principles

Credential Types

TypeUse
PasswordStandard auth
HashPass-the-hash
TicketPass-the-ticket
CertificateCertificate auth

Movement Paths

  • Admin shares
  • Remote services (RDP, SSH, WinRM)
  • Exploitation of internal services

7. Active Directory Attacks

Attack Categories

AttackTarget
KerberoastingService account passwords
AS-REP RoastingAccounts without pre-auth
DCSyncDomain credentials
Golden TicketPersistent domain access

8. Reporting Principles

Attack Narrative

Document the full attack chain:

  1. How initial access was gained
  2. What techniques were used
  3. What objectives were achieved
  4. Where detection failed

Detection Gaps

For each successful technique:

  • What should have detected it?
  • Why didn't detection work?
  • How to improve detection

9. Ethical Boundaries

Always

  • Stay within scope
  • Minimize impact
  • Report immediately if real threat found
  • Document all actions

Never

  • Destroy production data
  • Cause denial of service (unless scoped)
  • Access beyond proof of concept
  • Retain sensitive data

10. Anti-Patterns

❌ Don't✅ Do
Rush to exploitationFollow methodology
Cause damageMinimize impact
Skip reportingDocument everything
Ignore scopeStay within boundaries

Remember: Red team simulates attackers to improve defenses, not to cause harm.

Frequently asked questions

What does the Red Team Tactics AI skill do?

Red team tactics principles based on MITRE ATT&CK. Attack phases, detection evasion, reporting.

Why use Red Team Tactics on TypingMind?

Because you install it once and use it with any model. Red Team Tactics 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 Red Team Tactics in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vudovn/ag-kit/tree/main/.agents/skills/red-team-tactics. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Red Team Tactics?

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 Red Team Tactics?

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

Is the Red Team Tactics AI skill free?

Yes. It is published on GitHub by vudovn under the MIT 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇