Claude Cybersecurity

Abstract

1. Introduction

AI-powered cybersecurity code review skill for Claude Code. 8 specialist agents, OWASP 2025, CWE Top 25, MITRE ATT&CK, 11 languages, zero configuration.

2. Objective

AI-powered cybersecurity code review skill for Claude Code. 8 specialist agents, OWASP 2025, CWE Top 25, MITRE ATT&CK, 11 languages, zero configuration.

This project demonstrates how Shell can be applied to a real-world Cybersecurity & Ethical Hacking problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Linux / macOS terminal or WSL on Windows
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/AgriciDaniel/claude-cybersecurity.git
cd claude-cybersecurity

# Full security audit of current project
/cybersecurity

# Quick scan (entry points + auth + secrets + deps only)
/cybersecurity --scope quick

# Review only changed files (PR review mode)
/cybersecurity --scope diff

# Deep dive into one dimension
/cybersecurity --focus threat

# With compliance mapping
/cybersecurity --compliance pci

curl -fsSL https://raw.githubusercontent.com/AgriciDaniel/claude-cybersecurity/main/uninstall.sh | bash

rm -rf ~/.claude/skills/cybersecurity

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Add logging and alert notifications (email / Telegram)
• Write a threat model document for the tool
• Package it with Docker for safe lab testing

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Which threat or attack does this project defend against?
2. What detection or protection technique is used and what are its limits?
3. How are false positives and false negatives handled?
4. Which cryptographic algorithms or security standards are involved?
5. What legal and ethical rules apply when testing a tool like this?

9. Source Code & License

This project is developed by AgriciDaniel and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.