AI Analysis
The package shows minimal risk in terms of direct threats like network calls or shell executions, but its metadata raises concerns due to the absence of maintainer history and author details.
- Metadata risk score is high at 6/10
- Lack of maintainer history and author details
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands, which is typical for most utility packages.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting no risk of secret theft.
- Metadata: The package appears suspicious due to its newness, lack of maintainer history, and missing author details.
Package Quality Overall: Low (2.4/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "documentation" -> https://gitee.com
No contributing guide or governance files found
Development Status classifier >= Beta
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
Email domain looks legitimate: pku.org.cn>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
3 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)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based mini-application named 'QuantumSimulator' that leverages the 'anyon' package to simulate and visualize the behavior of anyons in a topological quantum computing model. This application will allow users to input parameters such as the number of anyons, their initial positions, and interaction strengths. It will then simulate the dynamics of these anyons over time, allowing users to observe phenomena like braiding and fusion. Key Features: 1. User-friendly GUI built using Tkinter for easy parameter input and visualization. 2. Real-time graphical representation of anyon movements and interactions. 3. Option to save simulation results as a video file for later analysis. 4. Detailed documentation explaining the theoretical background of anyons and the simulation process. 5. Extensive testing suite to ensure accuracy and reliability of simulations. How 'anyon' Package is Utilized: - Import core functionalities from the 'anyon' package to define and manipulate anyon objects. - Use 'anyon' functions to calculate the effects of braiding and fusion based on user-defined parameters. - Integrate 'anyon' simulation outputs into the GUI for real-time visual feedback. Your task is to write the complete code for 'QuantumSimulator', including all necessary imports, class definitions, function implementations, and the main execution logic. Ensure that your code is well-commented and follows best practices for readability and maintainability.
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