The following versions of coding-open-agent-tools are currently supported with security updates:

This toolkit generates code and shell scripts for AI agents and includes critical security considerations:

• Output Validation: All generated code is validated for syntax errors
• Template Safety: Code templates do not include arbitrary code execution
• Input Sanitization: User inputs are sanitized to prevent code injection
• Safe Defaults: Generated code follows secure coding practices by default

• Command Injection Prevention: All shell commands are properly escaped
• Path Validation: File paths in scripts are validated and sanitized
• Privilege Minimization: Scripts generated with minimal necessary permissions
• Security Scanning: Built-in security analysis for generated scripts

• Secret Detection: Tools scan for hardcoded secrets and credentials
• Pattern Matching: Secure pattern matching without executing code
• Read-Only Operations: Analysis tools do not modify source code
• Safe Parsing: Uses Python's AST module for safe code parsing

• Read-Only: Git tools only read repository data, no write operations
• Command Injection Prevention: Git commands are properly parameterized
• Path Safety: Repository paths are validated before operations

1. Review Generated Code: Always review generated code before execution
2. Validate Inputs: Validate all user inputs before passing to generation functions
3. Limit Permissions: Run code generation with minimal necessary permissions
4. Monitor Usage: Log and monitor agent code generation activities
5. Sandbox Execution: Test generated code in isolated environments first
6. Regular Updates: Keep the toolkit updated to receive security patches

We take security seriously. If you discover a security vulnerability, please follow these steps:

• Email: Send details to unseriousai@gmail.com with subject "SECURITY: coding-open-agent-tools"
• GitHub: For non-critical issues, you may create a private security advisory on GitHub

• Description of the vulnerability
• Steps to reproduce the issue
• Example of vulnerable code generation (if applicable)
• Potential impact assessment
• Suggested fix (if any)
• Your contact information for follow-up

• Initial Response: Within 48 hours
• Investigation: 1-7 days depending on complexity
• Fix Release: Target within 14 days for critical issues
• Public Disclosure: After fix is released and users have time to update

1. Report Received: We acknowledge receipt and begin investigation
2. Validation: We reproduce and assess the vulnerability
3. Fix Development: We develop and test a fix
4. Release: We release a patched version
5. Disclosure: We publicly disclose details after users can update

Security fixes are released as patch versions (e.g., 0.1.1 → 0.1.2) and are immediately available via:

• PyPI package updates
• GitHub releases with security tags
• Security advisories on GitHub

• Injection Attacks: Generated code could be vulnerable if user inputs are not validated
• Privilege Escalation: Generated scripts could request more permissions than necessary
• Information Disclosure: Generated code might inadvertently expose sensitive information

• Always validate user inputs before code generation
• Review generated code for security issues before use
• Use security scanning functions on all generated code
• Follow principle of least privilege in generated scripts
• Test generated code in isolated environments

Thank you for helping keep coding-open-agent-tools secure!