🤖 AI Analysis

Final verdict: SUSPICIOUS

The package Seagrin v0.5.0 exhibits low risks in terms of network usage, shell execution, and obfuscation. However, the metadata risk score is elevated due to missing author information and a lack of a repository link, raising suspicion.

Missing author information and repository link
Elevated metadata risk score

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 signs of executing system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some red flags, particularly the missing author information and lack of repository link, but no clear evidence of typosquatting or other malicious intent.

🔬 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: duckpond.nz>

✓ 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 Seagrin

Create a mini-application named 'Metron Explorer' that leverages the 'Seagrin' Python package to interact with the Metron API. This application will serve as a user-friendly interface to explore various data points provided by the Metron service, such as weather forecasts, location-based services, and real-time traffic updates. The goal of this project is to demonstrate how 'Seagrin' simplifies access to the Metron API, making it easier for developers to integrate these functionalities into their projects.

Step 1: Setup the Project Environment
- Initialize a new Python virtual environment.
- Install 'Seagrin' using pip.
- Set up a basic directory structure for your project.

Step 2: Authentication and Initialization
- Implement a method to authenticate users with their Metron API keys.
- Use 'Seagrin' to initialize connections and sessions with the Metron API.

Step 3: Core Functionality
- Develop functions to fetch and display current weather conditions for a given location.
- Implement a feature to retrieve and show real-time traffic updates for a specified route.
- Create a module to provide location-based services, such as nearby points of interest.

Step 4: Enhancements
- Add a command-line interface (CLI) to allow users to query different types of data without needing to run a graphical interface.
- Integrate a simple GUI using Tkinter or PyQt to visualize the data more effectively.
- Implement caching mechanisms to reduce API calls and improve performance.

Step 5: Testing and Documentation
- Write unit tests to ensure each function works correctly with 'Seagrin'.
- Document the setup process, usage examples, and any customization options available in 'Metron Explorer'.

Utilize 'Seagrin' throughout the project to handle all interactions with the Metron API, ensuring that the application remains modular and easy to maintain.