Thank you for your interest in contributing to this project! This repository provides practical examples for implementing AI security measures.
- Use GitHub Issues to report bugs or suggest enhancements
- Provide clear descriptions and steps to reproduce issues
- Include relevant system information and error messages
- Fork the repository
- Create a feature branch (
git checkout -b feature/new-security-example) - Make your changes
- Add tests and documentation
- Commit with clear messages (
git commit -m 'Add new defensive prompt example') - Push to your branch (
git push origin feature/new-security-example) - Create a Pull Request
- Follow PEP 8 style guidelines
- Use type hints where appropriate
- Include docstrings for functions and classes
- Add comprehensive comments for security-related logic
- Use consistent indentation (2 spaces)
- Include descriptive comments
- Validate configurations before submitting
- Update README files when adding new examples
- Include usage instructions and expected results
- Explain security concepts clearly
- Do not include real API keys or credentials
- Use placeholder values in examples
- Report security vulnerabilities privately first
- Test all security examples thoroughly
- Verify that defensive measures work as expected
- Include both positive and negative test cases
All contributions will be reviewed for:
- Code quality and security best practices
- Documentation completeness
- Test coverage
- Alignment with project goals
Feel free to open an issue for questions about contributing or reach out to the maintainers.
Thank you for helping make AI systems more secure!