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Aws Penetration Testing

Listed
xfstudio·vlatest·cloud

Helps with AWS, testing as part of deploying and managing cloud infrastructure workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it AWS Penetration Testing, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add xfstudio/skills --skill "AWS Penetration Testing" -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

xfstudio

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 3 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: 169.254.169.254, 169.254.170.2, app.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    169.254.169.254undeclared169.254.170.2undeclaredapp.comundeclared

    What it found (3 of 8)

    • aws-penetration-testing/SKILL.md:96contacts 169.254.169.254
      http://169.254.169.254/latest/meta-data/
    • aws-penetration-testing/SKILL.md:99contacts 169.254.169.254
      http://169.254.169.254/latest/meta-data/iam/security-credentials/
    • aws-penetration-testing/SKILL.md:102contacts 169.254.169.254
      http://169.254.169.254/latest/meta-data/iam/security-credentials/ROLE-NAME

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned xfstudio/skills at 1bf6044db2.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
1bf6044db2
Manifest
aws-penetration-testing/SKILL.md
Scanned
2 files, 788 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows AI agents to perform penetration testing on Amazon Web Services (AWS) environments. It can identify vulnerabilities and misconfigurations within your cloud infrastructure, providing actionable insights for improving security posture. The tool aims to simulate real-world attack scenarios to uncover potential weaknesses before malicious actors exploit them.

When to use it

  • Pre-deployment Security Checks: Before launching new applications or services on AWS, assess their security by simulating attacks.
  • Post-Deployment Audits: Regularly audit existing AWS environments to identify and remediate newly discovered vulnerabilities.
  • Compliance Verification: Ensure your AWS infrastructure adheres to industry best practices and regulatory requirements.
  • Incident Response Preparation: Test incident response plans by simulating a breach scenario within your AWS environment.

Key capabilities

  • AWS Penetration Testing
  • Vulnerability Identification
  • Misconfiguration Detection

Example prompts

  • "Perform a penetration test on my AWS S3 buckets."
  • "Scan for vulnerabilities in my EC2 instances."
  • "Identify any misconfigurations related to IAM roles."

Tips & gotchas

The skill requires appropriate AWS credentials with sufficient permissions to perform scans. Ensure the AI agent has access to the resources it needs to evaluate effectively.