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Ai Powered Pentesting

Checked
gmh5225·vlatest·security·MIT

Automated vulnerability scanning and exploitation simulation using AI to identify weaknesses in systems and applications.

Repository

Install on your platform

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

  1. 1

    Run this in your project

    terminal
    $ npx skills add gmh5225/awesome-ai-security --skill ai-powered-pentesting -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

gmh5225

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 undeclared network calls: passed

    Makes no network calls.

    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.

  • 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 gmh5225/awesome-ai-security at 0b49b2425e.

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

Commit
0b49b2425e
Manifest
.claude/skills/ai-pentesting/SKILL.md
Scanned
1 file, 88 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 leverages AI to automate and enhance penetration testing processes. It can identify potential vulnerabilities in web applications, networks, and systems through automated scanning and analysis. The tool provides detailed reports outlining discovered issues and suggested remediation steps, significantly accelerating the overall security assessment workflow.

When to use it

  • Rapid Vulnerability Assessment: Quickly scan a new application or system for common vulnerabilities before deployment.
  • Automated Regression Testing: Regularly check existing systems for newly introduced vulnerabilities after code changes.
  • Supplementing Manual Pentesting: Augment the work of human penetration testers by automating repetitive tasks and expanding the scope of testing.
  • Identifying Blind Spots: Discover potential weaknesses that might be missed during manual security reviews.

Key capabilities

  • Automated vulnerability scanning
  • Detailed reporting with remediation suggestions
  • Web application assessment
  • Network vulnerability identification
  • System security analysis

Example prompts

  • "Scan this website [URL] for common vulnerabilities and report your findings."
  • "Perform a penetration test on our internal network, focusing on potential SQL injection points."
  • "Analyze the attached code snippet for security flaws and suggest improvements."

Tips & gotchas

The effectiveness of this skill depends heavily on providing accurate and complete information about the target system. Ensure you have appropriate permissions before running scans to avoid legal or ethical issues.