🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal direct risks such as network calls, shell executions, or obfuscations. However, the metadata risk score is moderately high due to the maintainer having only one package on PyPI, which raises some suspicion.

Maintainer has only one package on PyPI
No direct risks detected

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no immediate risk of command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
Metadata: The maintainer has only one package on PyPI, which may indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ 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

Email domain looks legitimate: gmail.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "AndiEcker" 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 ae-progress

Develop a Python-based utility named 'TaskTracker' that allows users to monitor the progress of long-running tasks in real-time. This utility should be designed to help developers and system administrators keep track of the status and completion percentage of various tasks running on their systems or within applications. The utility will leverage the 'ae-progress' package to provide a visually appealing and informative progress bar for each task being tracked.

Step-by-Step Instructions:
1. **Setup**: Begin by setting up a virtual environment and installing necessary packages including 'ae-progress'.
2. **Task Definition**: Define a class or function that represents a task. Each task should have attributes such as name, start time, estimated duration, and current progress.
3. **Progress Display**: Use 'ae-progress' to create a customizable progress bar for each task. The progress bar should update dynamically based on the task's current state.
4. **User Interface**: Develop a simple command-line interface (CLI) that lists all active tasks along with their progress bars. Users should be able to add new tasks, check the status of existing tasks, and stop tasks if needed.
5. **Logging and Alerts**: Implement logging functionality to record task statuses and any errors encountered during execution. Additionally, set up alerts for when tasks complete or fail.
6. **Testing**: Write unit tests to ensure that the progress tracking and CLI functionalities work as expected.

Suggested Features:
- Support for multiple concurrent tasks.
- Customizable progress bar styles.
- Option to pause and resume tasks.
- Detailed logs for each task, including timestamps and error messages.
- Email/SMS notifications upon task completion or failure.

How 'ae-progress' is Utilized:
- The 'ae-progress' package will be integrated into the TaskTracker utility to handle the display of progress bars for each task. Users will see these bars update in real-time as tasks run, providing immediate feedback on the progress of their operations.