🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, shell executions, or obfuscations detected. However, the incomplete author information and lack of community engagement slightly increase the metadata risk.

Minimal risk in network, shell, and obfuscation activities.
Incomplete author information and low community engagement raise minor concerns.

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communications.
Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
Obfuscation: No obfuscation patterns detected, suggesting low risk.
Credentials: No credential harvesting patterns detected, indicating safe usage.
Metadata: The maintainer's author information is incomplete, and the repository lacks community engagement, 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 score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ 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-monitors

Create a real-time monitoring dashboard using the NEMO-monitors package in Python. This dashboard will allow system administrators to visualize performance metrics of various tools and systems in their network environment. The application should include the following features:

1. **User Authentication**: Implement a simple user authentication mechanism where only authorized users (privileged users) can access the monitoring data.
2. **Data Collection**: Allow users to upload custom data points for different tools/systems. These data points could represent CPU usage, memory consumption, network traffic, etc.
3. **Real-Time Charting**: Utilize the NEMO-monitors package to display real-time charts based on the uploaded data points. Charts should be interactive, allowing users to zoom in/out and select specific time ranges.
4. **Alert System**: Configure an alert system that triggers notifications (via email/SMS) when certain thresholds are exceeded. For example, if the CPU usage of a server exceeds 80%, an alert should be triggered.
5. **Export Options**: Provide options for exporting the chart data as CSV files or images for further analysis or reporting purposes.
6. **Customizable Dashboard**: Users should be able to customize their dashboards by adding/removing charts based on their preferences.
7. **Historical Data Analysis**: Enable users to analyze historical data by providing a feature to load past data points and generate reports based on them.

The application should leverage the NEMO-monitors package's capabilities to manage and visualize data efficiently. Ensure that the application is user-friendly, responsive, and scalable to accommodate future enhancements.