AI Analysis
The package exhibits signs of low maintenance and contains shell commands that could potentially be used for unauthorized actions. While there's no clear evidence of malicious intent, the combination of these factors raises concerns.
- Low metadata quality
- Presence of git clone and pip install commands
Per-check LLM notes
- Network: No network calls detected, which is typical for benign packages.
- Shell: Git cloning and pip installation commands suggest the package may be managing its own dependencies or updating itself, which could be legitimate but should be scrutinized for potential unauthorized actions.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
- Metadata: The package shows low maintenance and effort, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (2.2/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
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
Found 4 shell execution pattern(s)
{home_dir} ...") result = subprocess.run(["git", "clone", "--branch", tag, _APP_REPO, str(home_dir)])fault branch ...") if subprocess.run(["git", "clone", _APP_REPO, str(home_dir)]).returncode != 0:ng app dependencies ...") subprocess.run([sys.executable, "-m", "pip", "install", "-e", str(home_dir)os.chdir(str(app_dir)) subprocess.run([sys.executable, "-m", _APP_MODULE] + sys.argv[1:])
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
3 maintainer concern(s) found
Author 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 Python-based educational tool named 'MathMaster' using the 'arithma' package, which serves as a comprehensive learning aid for high school students and beyond. This application will allow users to input mathematical expressions and equations symbolically and receive detailed solutions, step-by-step explanations, and visual representations where applicable. Here are the key functionalities you should implement: 1. **Expression Simplification**: Users should be able to enter complex algebraic expressions, and the app will simplify them to their most basic form, showing each simplification step. 2. **Equation Solving**: Provide functionality to solve linear, quadratic, and higher-order polynomial equations, displaying all possible roots along with the solving process. 3. **Graph Plotting**: Integrate graphing capabilities to plot functions based on user inputs, allowing for zooming, panning, and highlighting key points like roots and asymptotes. 4. **Derivatives and Integrals**: Implement differentiation and integration of functions, providing both indefinite and definite integral solutions when applicable. 5. **Interactive Tutorials**: Include interactive tutorials that walk users through common problem-solving techniques, using examples that can be manipulated by the user. 6. **User Interface**: Design a clean, intuitive GUI using Tkinter or another suitable framework, ensuring ease of use for educational purposes. 7. **Customization Options**: Allow customization of output formats (e.g., LaTeX for better readability of mathematical symbols). Utilize the 'arithma' package throughout your project to handle the symbolic mathematics behind these operations. For example, use its parsing capabilities to interpret user inputs correctly, leverage its algorithms for simplifying expressions and solving equations, and employ its plotting utilities for generating graphs. Ensure that the application not only provides answers but also educates the user on the underlying principles and methods used to reach those solutions.
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