🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, shell executions, obfuscations, or credential harvesting. The metadata risk score is slightly elevated due to the maintainer's limited presence on PyPI, but this alone is insufficient to conclude malicious intent.

No network calls detected
Low metadata risk, possibly indicating a new or less active maintainer

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has only one package and lacks PyPI classifiers, indicating low effort or newness which could be suspicious but not conclusive.

🔬 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

No author email provided

✓ 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 "Kai Schlamp" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with adit-client

Create a Python-based mini-application named 'ADIT Monitor' that leverages the 'adit-client' package to interact with an ADIT server. This application will serve as a monitoring tool to check the status of various services running on the ADIT server. The app should have the following functionalities:

1. **Service Status Check**: Users should be able to input a service name and receive its current status (e.g., Running, Stopped).
2. **Detailed Service Information**: For each service, provide additional details such as start time, last update time, and any relevant logs.
3. **Health Checks**: Implement a feature to periodically check the health of multiple services and alert the user if any service is not functioning properly.
4. **User Interface**: Develop a simple command-line interface (CLI) for ease of use. Consider adding basic error handling to manage invalid inputs gracefully.
5. **Configuration Management**: Allow users to configure which services they want to monitor through a configuration file. The application should read this file at startup and adjust its behavior accordingly.
6. **Logging**: Integrate logging capabilities to record all interactions and important events for troubleshooting and auditing purposes.

**How to Use 'adit-client':** 
- Utilize the 'adit-client' package to establish a connection to the ADIT server. Ensure you handle authentication securely.
- Use the appropriate methods provided by 'adit-client' to fetch service statuses and other relevant information from the server.
- For periodic checks, implement a loop or timer function that calls the necessary 'adit-client' functions at specified intervals.
- When implementing alerts, consider using Python's logging module to send notifications based on the health check results.

This project aims to demonstrate proficiency in using the 'adit-client' package while also showcasing good software engineering practices.