AI Analysis
The package appears safe with no detected network, shell execution, obfuscation, or credential risks. However, it has a moderate metadata risk due to low maintainer engagement.
- Low risk for network and shell execution
- No obfuscation or credential harvesting detected
- Moderate metadata risk due to low maintainer engagement
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communication.
- Shell: No shell execution detected, which is normal unless the package's functionality requires system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of low maintainer engagement and effort, which may indicate potential risk.
Package Quality Overall: Low (4.4/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Detailed PyPI description (1907 chars)
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
Active multi-contributor project
3 unique contributor(s) across 21 commits in i2mint/aiofiledolSmall but multi-author team (3–4 contributors)
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
No author email provided
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
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 file management mini-app using Python's 'aiofiledol' package. This app will serve as a simple yet powerful tool for managing files and directories asynchronously. Here's a step-by-step guide on how to develop this application: 1. **Setup**: Begin by installing 'aiofiledol' and any other necessary dependencies such as aiofiles. 2. **Core Functionality**: Implement basic file and directory operations such as listing contents of a directory, creating new files/directories, deleting files/directories, and renaming files/directories. Use 'aiofiledol' to perform these operations asynchronously. 3. **User Interface**: Develop a command-line interface (CLI) for interacting with the file manager. Users should be able to input commands like `list`, `create`, `delete`, `rename` followed by appropriate parameters to execute actions. 4. **Advanced Features**: Consider adding advanced features such as filtering files based on criteria (e.g., size, modification date), moving files between directories, and implementing a search function for finding files within specified directories. 5. **Error Handling**: Ensure robust error handling is implemented to manage scenarios like invalid commands, permission errors, and non-existent paths. 6. **Testing**: Write tests to validate each functionality. Focus on both positive cases (expected behavior) and negative cases (error handling). 7. **Documentation**: Provide clear documentation explaining how to install the package, run the CLI, and use its features. The 'aiofiledol' package simplifies asynchronous file operations by offering a dict-like or list-like interface over the filesystem, making it easier to work with files and directories in an async manner. Your goal is to leverage this package to create a user-friendly, efficient, and feature-rich file management utility.