mcpField
S
senior-security

senior-security

github.com/davila7Security33.0k986 installsUpdated 1d ago
Repository

About senior-security

A security skill for practitioners that combines scripts for threat modeling, security auditing, and penetration-test automation with reference guides on architecture, testing, and cryptography.

Key features

  1. 01Threat-modeling script
  2. 02Security-auditing script
  3. 03Pentest automation script
  4. 04Configurable templates and quality checks
  5. 05Security architecture and cryptography references

Use cases

  1. 01Scaffold a threat model
  2. 02Analyze a codebase for security issues
  3. 03Automate penetration-testing tasks
  4. 04Consult security architecture and cryptography guides

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/davila7/claude-code-templates --skill senior-security

After installing, type/senior-securityin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
cryptography_implementation.md
penetration_testing_guide.md
security_architecture_patterns.md
scripts/
pentest_automator.py
security_auditor.py
threat_modeler.py

Details

From the project README

Senior Security

Complete toolkit for senior security with modern tools and best practices.

Quick Start

Main Capabilities

This skill provides three core capabilities through automated scripts:

# Script 1: Threat Modeler
python scripts/threat_modeler.py [options]

# Script 2: Security Auditor
python scripts/security_auditor.py [options]

# Script 3: Pentest Automator
python scripts/pentest_automator.py [options]

Core Capabilities

1. Threat Modeler

Automated tool for threat modeler tasks.

Features:

  • Automated scaffolding
  • Best practices built-in
  • Configurable templates
  • Quality checks

Usage:

python scripts/threat_modeler.py <project-path> [options]
2. Security Auditor

Comprehensive analysis and optimization tool.

Features:

  • Deep analysis
  • Performance metrics
  • Recommendations
  • Automated fixes

Usage:

python scripts/security_auditor.py <target-path> [--verbose]
3. Pentest Automator

Advanced tooling for specialized tasks.

Features:

  • Expert-level automation
  • Custom configurations
  • Integration ready
  • Production-grade output

Usage:

python scripts/pentest_automator.py [arguments] [options]

Reference Documentation

Security Architecture Patterns

Comprehensive guide available in references/security_architecture_patterns.md:

  • Detailed patterns and practices
  • Code examples
  • Best practices
  • Anti-patterns to avoid
  • Real-world scenarios
Penetration Testing Guide

Complete workflow documentation in references/penetration_testing_guide.md:

  • Step-by-step processes
  • Optimization strategies
  • Tool integrations
  • Performance tuning
  • Troubleshooting guide
Cryptography Implementation

Technical reference guide in references/cryptography_implementation.md:

  • Technology stack details
  • Configuration examples
  • Integration patterns
  • Security considerations
  • Scalability guidelines

Tech Stack

Languages: TypeScript, JavaScript, Python, Go, Swift, Kotlin Frontend: React, Next.js, React Native, Flutter Backend: Node.js, Express, GraphQL, REST APIs Database: PostgreSQL, Prisma, NeonDB, Supabase DevOps: Docker, Kubernetes, Terraform, GitHub Actions, CircleCI Cloud: AWS, GCP, Azure

Development Workflow

1. Setup and Configuration
# Install dependencies
npm install
# or
pip install -r requirements.txt

# Configure environment
cp .env.example .env
2. Run Quality Checks
# Use the analyzer script
python scripts/security_auditor.py .

# Review recommendations
# Apply fixes
3. Implement Best Practices

Follow the patterns and practices documented in:

  • references/security_architecture_patterns.md
  • references/penetration_testing_guide.md
  • references/cryptography_implementation.md

Best Practices Summary

Code Quality
  • Follow established patterns
  • Write comprehensive tests
  • Document decisions
  • Review regularly
Performance
  • Measure before optimizing
  • Use appropriate caching
  • Optimize critical paths
  • Monitor in production
Security
  • Validate all inputs
  • Use parameterized queries
  • Implement proper authentication
  • Keep dependencies updated
Maintainability
  • Write clear code
  • Use consistent naming
  • Add helpful comments
  • Keep it simple

Common Commands

# Development
npm run dev
npm run build
npm run test
npm run lint

# Analysis
python scripts/security_auditor.py .
python scripts/pentest_automator.py --analyze

# Deployment
docker build -t app:latest .
docker-compose up -d
kubectl apply -f k8s/

Troubleshooting

Common Issues

Check the comprehensive troubleshooting section in references/cryptography_implementation.md.

Getting Help
  • Review reference documentation
  • Check script output messages
  • Consult tech stack documentation
  • Review error logs

Resources

  • Pattern Reference: references/security_architecture_patterns.md
  • Workflow Guide: references/penetration_testing_guide.md
  • Technical Guide: references/cryptography_implementation.md
  • Tool Scripts: scripts/ directory

Comments

Markdown supported