AI Analysis
The package exhibits low effort and potential lack of transparency, raising concerns about its origin and purpose despite showing no immediate malicious activities.
- metadata risk due to low effort signs
- potential lack of transparency
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network interactions for its functionality.
- Shell: No shell execution detected, indicating the package does not execute external commands.
- Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating safe handling of secrets.
- Metadata: The package shows several signs of low effort and potential lack of transparency, which could indicate a risk.
Package Quality Overall: Low (1.2/10)
No test suite detected
No test files or test-runner configuration detected
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
4 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a simple weather forecasting application using the 'aisp-dev' Python package. This application should allow users to input a location and receive a short-term weather forecast, including temperature, humidity, wind speed, and precipitation probability. The application will also display a brief description of the expected weather conditions for each day of the forecast. Steps to follow: 1. Install the 'aisp-dev' package if it isn't already installed. 2. Design a user-friendly interface where users can enter their desired location. 3. Implement functionality to fetch weather data from an API supported by 'aisp-dev'. 4. Display the fetched weather information in a structured format, such as a table or list. 5. Add error handling for cases where the location input is invalid or the API call fails. 6. Enhance the application by adding graphical elements, such as icons representing different weather types (e.g., sun, cloud, rain). 7. Consider implementing a feature that allows users to save locations for quick access in future sessions. 8. Ensure the application runs smoothly on both command line interfaces and graphical user interfaces. Features: - Location-based weather forecast retrieval - Display of daily weather details including temperature, humidity, wind speed, and precipitation probability - User-friendly interface for inputting location data - Error handling for invalid inputs and failed API calls - Graphical representation of weather conditions - Option to save frequently searched locations How 'aisp-dev' is utilized: - Use 'aisp-dev' to connect to a weather API that provides the necessary weather data. - Leverage any specific functionalities provided by 'aisp-dev' to streamline the process of fetching and parsing weather data. - Explore any additional features offered by 'aisp-dev' that could enhance the application's performance or user experience.
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