🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network, shell, and obfuscation activities, with no signs of credential harvesting. However, the metadata risk score is moderately high due to incomplete author details and potential inactivity of the maintainer, raising concerns about its authenticity and integrity.

Incomplete author details
Potential inactivity of the maintainer

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution detected, indicating no direct system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The author's details are incomplete and the maintainer seems to be new or inactive, 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: atlantislabs.io>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ 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 NEMO-billing

Create a mini-application called 'BillingTracker' using the Python package 'NEMO-billing'. This application will serve as a personal billing tracker, allowing users to manage their income and expenses efficiently. Here are the steps and features to include:

1. **Setup**: Begin by setting up your development environment with Python and installing the necessary packages including 'NEMO-billing'. Ensure you have a virtual environment for dependency management.
2. **User Interface**: Develop a simple command-line interface (CLI) for user interaction. Users should be able to input commands like 'add', 'remove', 'list', and 'report' to interact with their billing data.
3. **Data Management**: Use 'NEMO-billing' to handle the financial data. Each transaction should include details such as date, type (income/expense), amount, and category.
4. **Transaction Handling**:
- Implement functionality to add new transactions with validation checks for correct inputs.
- Allow users to remove incorrect entries.
5. **Reporting Features**:
- Provide a feature to generate monthly expense reports showing total expenses per category.
- Include a yearly summary report displaying overall income and expenses.
6. **Database Integration**: Utilize 'NEMO-billing' capabilities to integrate with a database for persistent storage of transaction data.
7. **Security Measures**: Since financial data is sensitive, ensure that the application implements basic security measures such as encryption for stored data and secure user authentication if applicable.
8. **Testing**: Write unit tests to ensure each part of the application works as expected.
9. **Documentation**: Provide clear documentation on how to install and use the application, including examples of CLI commands.

The goal is to create a robust, user-friendly tool that leverages 'NEMO-billing' to streamline personal financial management.