🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low maintainer activity and poor metadata quality, which raises concerns about its legitimacy and purpose.

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 direct system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, indicating secure handling of secrets and credentials.
Metadata: The package shows low maintainer activity and poor metadata quality, raising some suspicion but not conclusive evidence of malice.

🔬 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: abstractendeavors.com

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "putkoff" 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 abstract-queries

Create a mini-application called 'WeatherDashboard' that utilizes the 'abstract-queries' Python package to fetch and display weather information from a public weather API. This application will serve as a simple dashboard where users can input a city name and receive current weather details including temperature, humidity, and wind speed. The application should also have an option to switch between Fahrenheit and Celsius for temperature display.

Steps to Build the Application:
1. Set up a Python environment and install the 'abstract-queries' package along with any other necessary dependencies.
2. Use 'abstract-queries' to create a function that constructs the appropriate URL for the weather API based on the user's input (city name).
3. Implement error handling within your function to manage issues such as invalid city names or network errors.
4. Write another function that parses the JSON response from the API using 'abstract-queries', extracting the relevant weather data.
5. Design a simple command-line interface (CLI) where users can enter a city name and choose their preferred temperature scale.
6. Display the weather information in a readable format, ensuring it updates dynamically if the user changes the city or temperature scale.
7. Add additional features such as saving the last searched cities or displaying weather forecasts for upcoming days.

Features:
- User-friendly CLI for entering city names and selecting temperature scales.
- Dynamic updates of weather information based on user inputs.
- Error messages for invalid inputs or API failures.
- Option to save and recall previously searched cities.
- Extended forecast feature showing weather predictions for the next few days.

How 'abstract-queries' is Utilized:
- For constructing URLs and handling HTTP requests to the weather API.
- To parse the JSON responses and extract specific pieces of data.
- In managing headers and other aspects of the HTTP requests to ensure smooth communication with the API.