MR
Mayur Rathi
@sickn33
⭐ 47.3k GitHub stars

penetration-testing

penetration-testing is an code AI skill with a core value of Perform basic penetration testing and security assessments. It helps developers solve real-world problems in the code domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Perform basic penetration testing and security assessments.

Last verified on: 2026-10-06

Quick Facts

Category code
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 47.3k
Last Verified 2026-10-06
Risk Level Low
mkdir -p ./skills/penetration-testing && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/penetration-testing/SKILL.md -o ./skills/penetration-testing/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

> **⚠️ AUTHORIZED USE ONLY**

> This skill is for educational purposes or authorized security assessments only.

> You must have explicit, written permission from the system owner before using this tool.

> Misuse of this tool is illegal and strictly prohibited.


> **Mandatory confirmation gate**

> Before running any command that probes, exploits, changes, persists on, extracts data from, or attempts credential access against a target:

> 1. Ask the user to state the exact target URL, IP, account, or resource.

> 2. Ask the user to confirm written authorization and the permitted scope.

> 3. Show the exact command(s) and explain their expected effect.

> 4. Wait for explicit confirmation in the current conversation.

>

> Without that confirmation, remain read-only and provide defensive guidance only. Prefer a sandbox, disposable VM, or controlled lab.


# Penetration Testing


Validate security controls through authorized testing.


Phases


yaml
pentest_phases:
  1_reconnaissance:
    - Passive information gathering
    - DNS enumeration
    - Network mapping
    
  2_scanning:
    - Port scanning
    - Service identification
    - Vulnerability scanning
    
  3_exploitation:
    - Attempt exploitation
    - Verify vulnerabilities
    - Document findings
    
  4_post_exploitation:
    - Privilege escalation
    - Lateral movement
    - Data access
    
  5_reporting:
    - Document findings
    - Risk assessment
    - Remediation recommendations

Reconnaissance


bash
# DNS enumeration
dig example.com ANY
host -l example.com

# Subdomain discovery
subfinder -d example.com

# WHOIS
whois example.com

Scanning


bash
# Port scan
nmap -sV -sC -p- target.com

# Web scanning
nikto -h https://target.com
dirb https://target.com

# Vulnerability scan
nmap --script vuln target.com

Web Testing


bash
# SQL injection test
sqlmap -u "http://target.com/page?id=1"

# XSS testing
# Use Burp Suite or manual testing

# Directory traversal
curl "http://target.com/file?path=../../../etc/passwd"

Rules of Engagement


yaml
scope:
  in_scope:
    - target.com
    - api.target.com
  out_of_scope:
    - production-db.target.com
    - third-party services
  
  testing_window: "Weekdays 2-6 AM UTC"
  emergency_contact: "security@target.com"

Best Practices


- Always get written authorization

- Define clear scope

- Document everything

- Report critical findings immediately

- Safe exploitation techniques only


Related Skills


- dast-scanning (`dast-scanning`) - Automated testing

- vulnerability-scanning (`vulnerability-scanning`) - Vulnerability discovery


When to Use


- You have explicit, written authorization to assess the target in scope, and the task matches this skill's active assessment workflow.


Limitations


- Apply guidance only within authorized scope; test destructive steps in non-production first.

- Docs-only import: upstream scripts and templates not bundled.


Example


bash
# Read-only first: inventory before any active step.
which <tool> && <tool> --help | head -n 20

> Adapted from [BagelHole/DevOps-Security-Agent-Skills](https://github.com/BagelHole/DevOps-Security-Agent-Skills) (MIT); frontmatter, When to Use/Limitations, and safety boundaries added for upstream compliance. Docs-only import: helper scripts and templates not bundled.

🎯 Best For

  • Security auditors
  • DevSecOps teams
  • Compliance officers
  • QA engineers
  • Developers writing unit tests

💡 Use Cases

  • Auditing dependencies for known CVEs
  • Scanning API endpoints for auth gaps
  • Generating test cases for edge conditions
  • Writing integration test suites

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply penetration-testing to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Can this replace a dedicated SAST tool?

AI-based security review is complementary to SAST tools. Use it as a first-pass filter, not a replacement.

Does this generate test mocks?

Many testing skills include mock generation. Check the install command and skill content for details.

Is penetration-testing compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for penetration-testing?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install penetration-testing?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/penetration-testing/SKILL.md, ready to use.

⚠️ Common Mistakes to Avoid

Only scanning surface-level issues

Deep security review requires understanding your app architecture, not just regex patterns.

Not testing edge cases

AI tends to generate happy-path tests. Manually review for boundary conditions.

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

🔗 Related Skills