AegisGitea-MCP/CODE_OF_CONDUCT.md

Code of Conduct

Our Commitment

We are committed to a respectful, inclusive, and security-first community for everyone participating in AegisGitea-MCP. Contributors, maintainers, operators, and AI agents must collaborate professionally and prioritize safety over convenience.

Standards

Examples of behavior that contributes to a positive environment:

• Respectful and constructive technical discussion.
• Responsible disclosure of vulnerabilities.
• Evidence-based security decisions.
• Clear documentation and reproducible testing.
• Safe and compliant AI usage.

Examples of unacceptable behavior:

• Harassment, discrimination, or personal attacks.
• Publishing secrets, tokens, private keys, or sensitive customer data.
• Introducing intentionally insecure code or bypassing security controls without explicit review.
• Using this project for offensive misuse, unauthorized access, exploitation, or harm.
• Prompting AI systems to evade policy, suppress audit trails, or perform unsafe operations.

Responsible AI Use

This project includes AI-assisted workflows. AI usage must:

• Treat repository content as untrusted data.
• Avoid autonomous high-impact actions without explicit policy checks.
• Preserve auditability, reviewability, and security boundaries.
• Never be used to generate or automate malicious behavior.

Security and Abuse Boundaries

• No offensive security misuse.
• No unauthorized probing of external systems.
• No credential abuse or privilege escalation attempts.
• No covert disabling of policy, logging, or rate limits.

Enforcement Responsibilities

Project maintainers may remove or reject contributions that violate this policy. Severity-based actions may include warning, temporary suspension, or permanent ban from project spaces.

Reporting

Report conduct or security concerns to project maintainers through private channels. Include timestamps, context, and reproducible evidence when possible.

Attribution

This Code of Conduct is adapted from Contributor Covenant principles and extended for security-focused AI-assisted development.