AI Analysis
The package shows minimal risks across all categories with only a moderate concern regarding potential obfuscation through pickling. There are no indications of network, shell, credential, or metadata risks.
- No network or shell execution detected
- Potential obfuscation via pickling
- No signs of credential harvesting
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external communications.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activities like command execution.
- Obfuscation: The code snippet suggests the use of pickling for data handling which could be used for obfuscation but is also common in legitimate applications.
- Credentials: No clear patterns indicative of credential harvesting were found.
- Metadata: The maintainer has only one package, which might indicate a new or less active account, but no other red flags are present.
Package Quality Overall: Low (2.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (3329 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
214 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked β contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
Found 1 obfuscation pattern(s)
""" chunk_data = pickle.loads(pickled_bytes) self = cls(*chunk_data[:2]) (
No shell execution patterns detected
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
1 maintainer concern(s) found
Author "James Clare, Ben Gothard et al." 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 utility called 'MinecraftWorldExplorer' that leverages the 'amulet-core' library to explore and manipulate Minecraft world data. This utility will serve as a powerful tool for Minecraft players and modders, allowing them to visualize, modify, and analyze their worlds in ways not possible through the game alone. Hereβs a detailed plan for the application: 1. **Setup**: Begin by installing 'amulet-core' using pip. Ensure your environment supports Python 3.7 or later. 2. **Core Functionality**: - **World Loading**: Implement functionality to load any Minecraft world format supported by 'amulet-core'. Display basic information such as world name, version, and dimensions. - **Block Visualization**: Develop a feature to visualize the block layout of the loaded world. Users should be able to navigate through different sections of the world and view the blocks present at specific coordinates. 3. **Advanced Features**: - **Block Replacement Tool**: Allow users to replace blocks within the world based on specified coordinates. For example, they could change all grass blocks to dirt. - **Structure Exporter**: Enable exporting specific structures or regions from the world into a custom file format for sharing or further analysis. 4. **User Interface**: Design a simple command-line interface (CLI) for ease of use. Consider adding options for more advanced users who might prefer a text-based UI over a graphical one. 5. **Testing & Documentation**: Write tests to ensure your application works correctly with different Minecraft world versions. Provide comprehensive documentation detailing how to install, configure, and use 'MinecraftWorldExplorer'. 6. **Deployment**: Package your application so it can be easily installed via pip. Make sure to include 'amulet-core' as a dependency in your setup.py file. Utilize 'amulet-core' throughout the development process to interact with the Minecraft world data. Your goal is to create a robust, user-friendly tool that showcases the capabilities of 'amulet-core' while providing significant value to the Minecraft community.