AI Analysis
Final verdict: SUSPICIOUS
The package shows low direct risks such as network calls or shell executions but has a notably high metadata risk due to poor documentation and signs of low effort. This raises suspicion about its legitimacy.
- High metadata risk
- Lack of package description
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network functionality.
- Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized system access.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows several signs of low effort and potential lack of transparency, raising suspicion but not conclusive evidence of malice.
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
Email domain looks legitimate: proton.me>
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 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)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with ashprime
Develop a Python-based mini-application called 'PrimePuzzle' that leverages the 'ashprime' package to generate and manipulate prime numbers. This application will serve as an educational tool and a fun way to explore prime numbers. Here’s a detailed breakdown of the project requirements: 1. **Introduction**: Start by importing the 'ashprime' package into your Python environment. Ensure you have the latest version installed. 2. **Core Functionality**: - Implement a function named `generate_primes` which takes two parameters, `start` and `end`, and returns all prime numbers within this range using 'ashprime'. - Create another function, `find_prime_factors`, which accepts an integer and returns its prime factors using 'ashprime'. 3. **User Interface**: - Design a simple command-line interface where users can input commands to interact with the 'PrimePuzzle' application. - Allow users to choose between generating a list of primes or finding the prime factors of a number. 4. **Additional Features**: - Include an option for users to find the nth prime number. - Provide a feature to check if a given number is prime. 5. **Testing and Documentation**: - Write unit tests for each function to ensure they work correctly. - Document your code thoroughly and provide a README file explaining how to install and use the application. 6. **Enhancements**: - Consider adding a graphical user interface (GUI) using a library like Tkinter for a more interactive experience. - Explore integrating machine learning models to predict the next prime number based on historical data from 'ashprime'. By following these steps, you'll create a versatile and engaging tool that not only educates users about prime numbers but also demonstrates the power of the 'ashprime' package.
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