⚠️ Important: This tool is designed for local DevOps automation in trusted environments.

1. Shell Command Execution: Uses shell=True for command execution

   • Can execute arbitrary shell commands
   • No input sanitization or command whitelisting
   • Full access to file system and shell commands

2. No Sandboxing: The agent runs with full user permissions

   • Can read/write any files the user has access to
   • Can execute any commands the user can run
   • No resource limits or quotas

3. Model Trust: Relies on the AI model's decision-making

   • Model could potentially be misled by crafted inputs
   • No guaranteed safety for destructive operations
   • Approval mode (--require-approval) is strongly recommended

For Personal Use:

• Always use --require-approval flag for sensitive operations
• Review all tool calls before approval
• Run in isolated environments when testing
• Never run with elevated privileges unless absolutely necessary

For Production Use:

• Deploy in containerized environments with limited permissions
• Implement command whitelisting
• Add proper input validation
• Use dedicated service accounts with minimal privileges
• Enable audit logging for all operations
• Consider network isolation

For Multi-User Environments:

• DO NOT deploy this tool in multi-user environments without significant security hardening
• Implement authentication and authorization
• Add rate limiting
• Isolate user sessions
• Implement comprehensive audit trails

If you discover a security vulnerability, please help us protect our users:

1. Email security concerns to: [security contact email - to be added]
2. Provide detailed information:
   • Description of the vulnerability
   • Steps to reproduce
   • Potential impact
   • Suggested fix (if available)
3. Allow time for response: We aim to respond within 48 hours
4. Keep it confidential: Please don't publicly disclose until we've had a chance to address it

• Publicly disclose the vulnerability before it's patched
• Exploit the vulnerability beyond what's necessary to demonstrate it
• Access other users' data or systems

1. Report received: We acknowledge within 48 hours
2. Validation: We verify and assess the vulnerability
3. Fix development: We develop and test a patch
4. Release: We release a security update
5. Disclosure: We publish a security advisory

Always use approval mode for sensitive operations:

python agent.py --require-approval "Your task here"

Before approving any tool call, verify:

• The command is what you expect
• The arguments are correct
• You understand what it will do
• You have backups if it could cause data loss

Run in isolated environments:

# Docker example (once Dockerfile is available)
docker run --rm -it ollama-devops "Your task"

• Don't run as root unless absolutely necessary
• Create dedicated user accounts for automation
• Limit file system access where possible

While the tool doesn't have built-in audit logging, you can:

1. Enable verbose mode to see all operations:

   python agent.py --verbose "Your task"

2. Log all sessions to a file:

   python agent.py "Your task" 2>&1 | tee agent-$(date +%Y%m%d-%H%M%S).log

3. Monitor system logs for unexpected activity

We appreciate security researchers who:

• Follow responsible disclosure practices
• Give us reasonable time to fix issues
• Don't exploit vulnerabilities maliciously

We commit to:

• Acknowledge reports promptly
• Keep reporters informed of progress
• Credit researchers (with permission)
• Release fixes in a timely manner

For security issues: [security contact - to be added] For general issues: GitHub Issues

Thank you for helping keep Ollama DevOps Agent and its users safe!