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

--input, -i

--output, -o

--format

--verbose, -v

--help, -h

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/

• 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

• Review the FAQ
• Check GitHub Issues
• Join our Discord Community

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.