Contributing to AISecForge

First of all, thank you for considering a contribution to AISecForge! This project thrives on collaborative expertise, and your insights will help build a more robust framework for AI security testing.

Ways to Contribute

1. Vulnerability Research

Developing new testing methodologies for emerging vulnerabilities
Documenting novel attack vectors and exploitation techniques
Creating demonstrations of security issues (in controlled environments)

2. Framework Enhancement

Improving existing testing frameworks and methodologies
Adding support for new models or capabilities
Enhancing scoring and evaluation metrics

3. Tool Development

Creating new tools for automated testing
Improving existing scanners and analyzers
Developing visualization tools for security assessment results

4. Documentation

Improving existing documentation
Adding case studies and practical examples
Translating documentation to other languages

Contribution Process

Step 1: Find or Create an Issue

Browse existing issues to find something that interests you
Create a new issue if you have identified a gap or improvement
Wait for maintainer feedback before starting work on new issues

Step 2: Fork and Branch

Fork the repository
Create a branch with a descriptive name:
- feature/description for new features
- fix/description for bug fixes
- docs/description for documentation updates
- refactor/description for code refactoring

Step 3: Development

Follow the coding and documentation standards (see below)
Keep changes focused and related to the issue at hand
Add tests where appropriate
Update documentation to reflect your changes

Step 4: Submit a Pull Request

Ensure all tests pass
Update the changelog with your changes
Submit a pull request against the main branch
Reference the issue your PR addresses
Provide a clear description of the changes and their purpose

Code and Documentation Standards

Code Standards

Clear, readable code with meaningful variable and function names
Comprehensive error handling
Proper commenting for complex sections
Test coverage for new functionality

Documentation Standards

Clear, concise language
Proper Markdown formatting
Practical examples where appropriate
Graphics or diagrams for complex concepts

Security Research Standards

All research must be conducted responsibly
Document potential risks and mitigations
Do not include exploitable code without appropriate safeguards
Focus on defense, not exploitation

Specialized Knowledge Areas

We particularly welcome contributions in these areas:

LLM Security Specialists

Prompt injection methodologies and defenses
Evasion technique analysis
Model behavior boundary testing

Red Team Practitioners

Realistic attack scenario development
Methodology for real-world testing
Effective reporting approaches

Policy and Governance Experts

Responsible disclosure frameworks
Security policy development
Regulatory compliance considerations

AI Researchers

Novel attack vector discovery
Theoretical vulnerability analysis
Cross-model comparison methodologies

Review Process

Initial review by a project maintainer (typically within 5 business days)
Technical review if the contribution involves complex changes
Security review for contributions involving attack methodologies
Final approval and merge by a maintainer

Recognition

All contributors will be acknowledged in the project's contributor list, and significant contributions may be highlighted in release notes and publications based on this work.

Code of Conduct

All contributors are expected to adhere to the project's Code of Conduct.

Questions?

If you have questions about contributing, please open a discussion in the GitHub repository or contact the project maintainers at [email protected].

Thank you for helping make AISecForge better!