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Template for creating new cybersecurity skills. Provides structure and examples for skill development.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name skill-template
description Template for creating new cybersecurity skills. Provides structure and examples for skill development.

Skill Template

This is a template for creating new Claude Skills for cybersecurity. Replace this content with your specific skill information.

Requirements

List all dependencies required for your skill:

  • Python 3.8 or higher
  • Required Python packages (list each one)
  • External tools or services (if any)
  • Minimum permissions needed
  • Network access requirements (if any)

Example:

pip install requests beautifulsoup4 pandas

Installation

Provide step-by-step installation instructions:

# Install dependencies
pip install -r requirements.txt

# Any additional setup steps
# For example, API key configuration, tool installation, etc.

Usage

Basic Usage

Explain the most common use case:

python scripts/main.py input.json

Advanced Usage

Show more complex scenarios:

# Example with multiple options
python scripts/main.py --input input.json --output results.json --format detailed

# Example with directory processing
python scripts/main.py --directory /path/to/files --recursive

Command Line Options

Option Description Default
--input, -i Input file path Required
--output, -o Output file path stdout
--format Output format (json, csv, text) json
--verbose, -v Enable verbose logging False
--help, -h Show help message -

Examples

Example 1: Basic Analysis

Input:

{
  "example": "input",
  "data": "here"
}

Command:

python scripts/main.py examples/sample_input.json

Output:

{
  "result": "analysis output",
  "status": "success",
  "findings": [
    {
      "type": "finding_type",
      "severity": "medium",
      "description": "Description of finding"
    }
  ]
}

Example 2: Advanced Analysis

Input:

python scripts/main.py examples/complex_input.json --format detailed --verbose

Output: Detailed analysis with explanations and recommendations.

Output Format

JSON Output

{
  "metadata": {
    "skill": "skill-name",
    "version": "1.0.0",
    "timestamp": "2024-01-01T12:00:00Z",
    "input_file": "input.json"
  },
  "summary": {
    "total_items": 100,
    "processed": 95,
    "errors": 5,
    "warnings": 12
  },
  "results": [
    {
      "item_id": "item-1",
      "status": "success|warning|error",
      "findings": [],
      "recommendations": []
    }
  ],
  "errors": [
    {
      "item_id": "item-6",
      "error_type": "validation_error",
      "message": "Detailed error message"
    }
  ]
}

CSV Output

For tabular data, provide CSV format option:

item_id,status,severity,finding_type,description
item-1,success,info,compliance,Item meets requirements
item-2,warning,medium,security,Potential security issue detected

Security Considerations

Document important security aspects:

Data Handling

  • This skill processes [type of data]
  • Sensitive information is [how it's handled]
  • Data is [where it's stored/transmitted]
  • Recommend using synthetic data for testing

Permissions

  • Minimum required permissions: [list permissions]
  • Why these permissions are needed
  • How to run with minimal privileges

Network Security

  • Network connections made: [list destinations]
  • Data transmission security: [encryption details]
  • Firewall considerations: [required ports/protocols]

Compliance

  • Relevant compliance frameworks: [NIST, ISO, etc.]
  • Data privacy considerations: [GDPR, CCPA, etc.]
  • Audit logging: [what's logged and where]

Error Handling

Common errors and solutions:

Error: "Module not found"

Cause: Missing dependencies Solution:

pip install -r requirements.txt

Error: "Permission denied"

Cause: Insufficient file permissions Solution:

chmod +r input_file.json

Error: "Invalid input format"

Cause: Input data doesn't match expected format Solution: Check input format against examples

Integration

SIEM Integration

For Splunk:

python scripts/main.py input.json | splunk add oneshot -sourcetype security_analysis

For Elastic:

python scripts/main.py input.json --format json | curl -X POST "localhost:9200/security/_doc" -H "Content-Type: application/json" -d @-

API Integration

from skills.skill_template import SkillTemplate

# Initialize skill
skill = SkillTemplate()

# Process data
result = skill.analyze(input_data)

# Handle results
if result.success:
    print(f"Analysis complete: {result.summary}")
else:
    print(f"Analysis failed: {result.error}")

Pipeline Integration

For CI/CD pipelines:

# GitHub Actions example
- name: Run Security Analysis
  run: |
    python scripts/main.py security-data.json --format json > results.json
    if [ $? -ne 0 ]; then exit 1; fi

Testing

Unit Tests

python -m pytest tests/

Integration Tests

python tests/integration_test.py

Sample Data

Use the provided sample data in the examples/ directory for testing:

  • examples/valid_input.json - Valid input that should pass
  • examples/invalid_input.json - Invalid input that should fail gracefully
  • examples/edge_case.json - Edge cases and boundary conditions

Development

Project Structure

skill-template/
├── SKILL.md              # This file
├── requirements.txt      # Python dependencies
├── scripts/
│   ├── main.py          # Main script
│   ├── __init__.py      # Package initialization
│   └── utils.py         # Helper functions
├── examples/
│   ├── sample_input.json
│   ├── sample_output.json
│   └── README.md
├── tests/
│   ├── test_main.py
│   └── test_utils.py
└── docs/
    └── technical_details.md

Adding Features

  1. Create feature branch
  2. Add functionality to appropriate module
  3. Add tests for new functionality
  4. Update documentation
  5. Submit pull request

Code Standards

  • Follow PEP 8 style guidelines
  • Use type hints for function parameters and returns
  • Include docstrings for all functions and classes
  • Handle errors gracefully
  • Log important operations
  • Validate all inputs
  • Never log sensitive information

Troubleshooting

Debug Mode

Enable debug logging:

python scripts/main.py input.json --debug

Common Issues

  1. Slow Performance: Process smaller batches or optimize data structures
  2. Memory Issues: Use streaming for large datasets
  3. Network Timeouts: Implement retry logic with exponential backoff

Getting Help

Contributing

To improve this skill:

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests
  5. Update documentation
  6. Submit a pull request

See Contributing Guidelines for detailed information.

License

This skill is licensed under the MIT License - see the LICENSE file for details.

Changelog

Version 1.0.0

  • Initial release
  • Basic functionality implemented
  • Documentation complete

Note: Remember to replace all template content with your actual skill implementation. Remove this note when creating your real skill.