🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risks in terms of network usage, shell execution, obfuscation, and credential handling. However, its low maintainer activity and poor metadata quality suggest caution should be exercised.

Low maintainer activity
Poor metadata quality

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 of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
Metadata: The package shows signs of low maintainer activity and poor metadata quality, which could indicate potential risk.

📦 Package Quality Overall: Low (1.2/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

○ Low Documentation 1.0

No documentation detected

No documentation URL, doc files, or meaningful description found

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

No GitHub repository linked — contributor count unavailable

🔬 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 8.0

4 maintainer concern(s) found

Only one version has ever been released — brand new package
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 aisp-runtime

Create a simple yet engaging weather forecast application using the 'aisp-runtime' package in Python. This application will fetch real-time weather data from a reliable API and display it in a user-friendly format. The primary goal is to demonstrate the capabilities of 'aisp-runtime' in handling asynchronous operations and integrating external APIs efficiently.

### Steps to Build the Application:
1. **Setup Project Environment**: Initialize a new Python project and install necessary packages including 'aisp-runtime'.
2. **Fetch Weather Data**: Use 'aisp-runtime' to make an asynchronous request to a weather API (such as OpenWeatherMap). Ensure you handle API keys securely.
3. **Parse and Display Data**: Parse the received JSON data and present it in a readable format on the console. Include key information such as temperature, humidity, wind speed, and weather conditions.
4. **Add Forecast Feature**: Extend the application to also fetch and display a short-term weather forecast for the next few days.
5. **User Interface Enhancements**: Improve the user interface by adding prompts for the user to input their location and providing a clean output format.
6. **Error Handling**: Implement robust error handling to manage issues like invalid API responses, network errors, and incorrect user inputs.
7. **Testing**: Test the application thoroughly to ensure it works as expected under various scenarios.
8. **Documentation**: Write clear documentation explaining how to run the application and any configuration steps required.

### Suggested Features:
- **Location Input**: Allow users to specify their location through command-line arguments or interactive prompts.
- **Forecast Options**: Provide options to choose between daily or hourly forecasts.
- **Graphical Output**: Consider using ASCII art or simple graphical representations to show weather symbols.
- **Logging**: Implement logging to record actions and errors for debugging purposes.
- **Configuration File**: Use a configuration file to store API keys and other settings.

### Utilizing 'aisp-runtime':
- **Asynchronous Requests**: Leverage 'aisp-runtime' to make asynchronous HTTP requests to the weather API, ensuring your application remains responsive during data retrieval.
- **Data Processing**: Use the package's capabilities to process and manipulate the fetched data before displaying it to the user.
- **Error Management**: Take advantage of 'aisp-runtime' features to handle exceptions gracefully and provide meaningful feedback to the user.

By following these steps and incorporating the suggested features, you'll create a valuable tool for anyone interested in staying informed about the current and upcoming weather conditions.