/penetration-testing
Ethical hacking and security testing methodologies using penetration testing tools, exploit frameworks, and manual security validation. Use when assessing application security posture and identifying exploitable vulnerabilities.
$ npx -y skills add aj-geddes/useful-ai-prompts --skill penetration-testing --agent claude-codeHow it fires
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- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
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- Slash command
/penetration-testing
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Ethical hacking and security testing methodologies using penetration testing tools, exploit frameworks, and manual security validation. Use when assessing application security posture and identifying exploitable vulnerabilities.
SKILL.md
penetration-testing.SKILL.mdname: penetration-testing
description: >
Ethical hacking and security testing methodologies using penetration testing
tools, exploit frameworks, and manual security validation. Use when assessing
application security posture and identifying exploitable vulnerabilities.
Penetration Testing
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
Overview
Systematic security testing to identify, exploit, and document vulnerabilities in applications, networks, and infrastructure through simulated attacks.
When to Use
- Pre-production security validation
- Annual security assessments
- Compliance requirements (PCI-DSS, ISO 27001)
- Post-incident security review
- Third-party security audits
- Red team exercises
Quick Start
Minimal working example:
# pentest_framework.py
import requests
import socket
import subprocess
import json
from typing import List, Dict
from dataclasses import dataclass, asdict
from datetime import datetime
@dataclass
class Finding:
severity: str
category: str
target: str
vulnerability: str
evidence: str
remediation: str
cvss_score: float
class PenetrationTester:
def __init__(self, target: str):
self.target = target
self.findings: List[Finding] = []
def test_sql_injection(self, url: str) -> None:
// ... (see reference guides for full implementation)Reference Guides
Detailed implementations in the `references/` directory:
| Guide | Contents | |---|---| | [Automated Penetration Testing Framework](references/automated-penetration-testing-framework.md) | Automated Penetration Testing Framework | | [Burp Suite Automation Script](references/burp-suite-automation-script.md) | Burp Suite Automation Script |
Best Practices
✅ DO
- Get written authorization
- Define clear scope
- Use controlled environments
- Document all findings
- Follow responsible disclosure
- Provide remediation guidance
- Verify fixes after patching
- Maintain chain of custody
❌ DON'T
- Test production without approval
- Cause service disruption
- Exfiltrate sensitive data
- Share findings publicly
- Exceed authorized scope
- Use destructive payloads
Read more
name: penetration-testing description: > Ethical hacking and security testing methodologies using penetration testing tools, exploit frameworks, and manual security validation. Use when assessing application security posture and identifying exploitable vulnerabilities.
Penetration Testing
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
Overview
Systematic security testing to identify, exploit, and document vulnerabilities in applications, networks, and infrastructure through simulated attacks.
When to Use
- Pre-production security validation
- Annual security assessments
- Compliance requirements (PCI-DSS, ISO 27001)
- Post-incident security review
- Third-party security audits
- Red team exercises
Quick Start
Minimal working example:
# pentest_framework.py
import requests
import socket
import subprocess
import json
from typing import List, Dict
from dataclasses import dataclass, asdict
from datetime import datetime
@dataclass
class Finding:
severity: str
category: str
target: str
vulnerability: str
evidence: str
remediation: str
cvss_score: float
class PenetrationTester:
def __init__(self, target: str):
self.target = target
self.findings: List[Finding] = []
def test_sql_injection(self, url: str) -> None:
// ... (see reference guides for full implementation)Reference Guides
Detailed implementations in the `references/` directory:
| Guide | Contents | |---|---| | [Automated Penetration Testing Framework](references/automated-penetration-testing-framework.md) | Automated Penetration Testing Framework | | [Burp Suite Automation Script](references/burp-suite-automation-script.md) | Burp Suite Automation Script |
Best Practices
✅ DO
- Get written authorization
- Define clear scope
- Use controlled environments
- Document all findings
- Follow responsible disclosure
- Provide remediation guidance
- Verify fixes after patching
- Maintain chain of custody
❌ DON'T
- Test production without approval
- Cause service disruption
- Exfiltrate sensitive data
- Share findings publicly
- Exceed authorized scope
- Use destructive payloads
488 production-ready AI prompts, all following a standardized template with validated quality gates. Transform ChatGPT, Claude, and other AI assistants into expert consultants.
Repo: aj-geddes/useful-ai-prompts
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