🤖 AI Analysis

Final verdict: SAFE

The package exhibits low risk across all technical indicators, with no signs of malicious activity. However, its low maintainer activity and poor metadata quality suggest caution.

Low risk scores for network, shell, obfuscation, and credential risks.
Metadata quality and maintainer activity are concerns.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package's functionality requires external communications.
Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows low maintainer activity and poor metadata quality, but lacks clear signs of 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

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 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" 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 Asps

Create a Python-based mini-app named 'AspsManager' that leverages the 'Asps' package to manage and display weather data from various global locations. This application should allow users to input city names or zip codes and retrieve real-time weather information such as temperature, humidity, wind speed, and weather conditions. The app should also have a feature to save favorite locations for quick access. 

Steps to create the application:
1. Install the 'Asps' package using pip.
2. Create a user-friendly command-line interface where users can enter commands like 'get_weather', 'add_favorite', and 'view_favorites'.
3. Implement a function to fetch weather data using the 'Asps' package. Ensure this function handles exceptions gracefully, providing meaningful error messages if a location cannot be found or if there is a network issue.
4. Develop a feature that allows users to add their frequently checked locations to a favorites list.
5. Implement a feature to display all saved favorite locations along with their last known weather details.
6. Enhance the app by adding a periodic update mechanism for the weather data of favorite locations, refreshing every hour without user intervention.
7. Optionally, add a graphical user interface using a library like Tkinter to make the application more interactive and visually appealing.

How 'Asps' is utilized:
- Use 'Asps' to connect to weather APIs and fetch real-time weather data. 'Asps' simplifies API calls and data parsing, making it easier to integrate weather services into your application.