Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add DorianGallo/antigravity-awesome-skills-local --skill aws-penetration-testinggit clone --depth 1 https://github.com/DorianGallo/antigravity-awesome-skills-localWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/doriangallo/antigravity-awesome-skills-local/aws-penetration-testing)<a href="https://agentmods.dev/skills/doriangallo/antigravity-awesome-skills-local/aws-penetration-testing"><img src="https://agentmods.dev/badge/skills/doriangallo/antigravity-awesome-skills-local/aws-penetration-testing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/doriangallo/antigravity-awesome-skills-local/aws-penetration-testing"><img src="https://agentmods.dev/badge/skills/doriangallo/antigravity-awesome-skills-local/aws-penetration-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00046 | $0.02510 |
| Opus 5 | $0.00023 | $0.01255 |
| Sonnet 5 | $0.00009 | $0.00502 |
| Haiku 4.5 | $0.00005 | $0.00251 |
Grade C, and why
aws-penetration-testing scanned grade C with 4 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Harvests environment variablesmediumData exfiltration
Enumerating or grepping the environment for keys collects credentials unrelated to what the mod says it does.
# 3. Extract credentials Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Asks for rootlowPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo mkdir /mnt/stolen Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Cloud metadata endpointmediumServer-side request forgery
One request to 169.254.169.254 can return temporary IAM credentials.
http://169.254.169.254/latest/meta-data/ Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
TOKEN=$(curl -X PUT -H "X-aws-ec2-metadata-token-ttl-seconds: 21600" \ This is a copy
88% identical to aws-penetration-testing — 14 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 412 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AUTHORIZED USE ONLY: Use this skill only for authorized security assessments, defensive validation, or controlled educational environments.
AWS Penetration Testing
Purpose
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.
Inputs/Prerequisites
- AWS CLI configured with credentials
- Valid AWS credentials (even low-privilege)
- Understanding of AWS IAM model
- Python 3, boto3 library
- Tools: Pacu, Prowler, ScoutSuite, SkyArk
Outputs/Deliverables
- IAM privilege escalation paths
- Extracted credentials and secrets
- Compromised EC2/Lambda/S3 resources
- Persistence mechanisms
- Security audit findings
Essential Tools
| Tool | Purpose | Installation |
|---|---|---|
| Pacu | AWS exploitation framework | git clone https://github.com/RhinoSecurityLabs/pacu |
| SkyArk | Shadow Admin discovery | Import-Module .\SkyArk.ps1 |
| Prowler | Security auditing | pip install prowler |
| ScoutSuite | Multi-cloud auditing | pip install scoutsuite |
| enumerate-iam | Permission enumeration | git clone https://github.com/andresriancho/enumerate-iam |
| Principal Mapper | IAM analysis | pip install principalmapper |
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
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 412 lines · 46 tokens per session scan C f28c5b3b8990
aws-penetration-testing is a skill published in the GitHub repository DorianGallo/antigravity-awesome-skills-local (2 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 2,510 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 4 findings (harvests environment variables, asks for root, cloud metadata endpoint). It is 88% identical to aws-penetration-testing, differing in 14 lines, and is treated as a copy.
Other skills, from other repositories
gke-compute-classes
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…
gke-reliability
Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).
gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running cluster security audits (auditcluster.sh), configuring Workload Identity Federation (impersonation, KSA/GSA binding, and pod setup), enforcing Network Policies (default-deny…
nemo-automodel-launcher-config
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.
azure-mgmt-botservice-dotnet
Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".
cloud-architect
Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost…