🤖 AI Analysis

Final verdict: SAFE

The package appears safe based on the analysis notes provided. It has a moderate network risk which is likely due to its intended functionality for sending emails.

Moderate network risk potentially related to email functionality
Low risks in other categories such as shell execution, obfuscation, and credential harvesting

Per-check LLM notes

Network: The network call patterns indicate the package may be making HTTP requests, which could be legitimate for a package named 'agentmail' if it's intended to send emails or interact with an email service.
Shell: No shell execution patterns were detected, suggesting no immediate risk of executing arbitrary commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

is not None else httpx.Client(timeout=_defaulted_timeout, follow_redirects=follow_redirect
is not None else httpx.Client(timeout=_defaulted_timeout), timeout=_defaulted_
is not None else httpx.AsyncClient(timeout=_defaulted_timeout, follow_redirects=follow_redirect
is not None else httpx.AsyncClient(timeout=_defaulted_timeout), timeout=_defaulted_

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

Non-HTTPS external link: http://my.test.proxy.example.com

✓ Git Repository History

Repository agentmail-to/agentmail-python appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with agentmail

Create a personalized email notification system using the 'agentmail' Python library. This system will allow users to set up recurring email notifications based on specific events or reminders. Here’s a step-by-step guide on how to build this application:

1. **Setup Project Environment**: Initialize a new Python project and install the 'agentmail' package along with any other necessary libraries such as 'schedule' for scheduling tasks.

2. **User Interface Design**: Develop a simple command-line interface where users can input their email details, the message content they wish to send, and the frequency of the emails (daily, weekly, monthly).

3. **Email Configuration**: Use the 'agentmail' package to configure email settings including SMTP server details, sender email address, and authentication credentials.

4. **Scheduling Mechanism**: Implement a scheduling mechanism that allows users to specify when they want to receive these emails. Utilize the 'schedule' library for setting up recurring tasks based on user input.

5. **Email Sending Functionality**: Write a function that uses 'agentmail' to send out emails at the specified times. Ensure the emails contain personalized content based on user input.

6. **Error Handling and Logging**: Add error handling to manage potential issues like incorrect email addresses or network failures. Log these errors for troubleshooting purposes.

7. **Testing**: Test the application thoroughly under different scenarios to ensure reliability and accuracy.

8. **Deployment**: Package the application so it can be easily deployed and used by others. Consider options like packaging it into a standalone executable or deploying it as a web service.

**Suggested Features**:
- Allow users to schedule multiple types of emails with varying frequencies.
- Provide an option to attach files to the emails.
- Implement a feature to send test emails before scheduling actual reminders.
- Include a help menu within the CLI to assist users with commands and configurations.

By following these steps, you'll create a useful tool that leverages the 'agentmail' package to enhance productivity through automated email notifications.