AI Analysis
Final verdict: SUSPICIOUS
The package exhibits low risks in terms of network, shell, obfuscation, and credential handling but has a moderate metadata risk score due to poor metadata quality and low maintainer engagement, raising suspicion.
- Moderate metadata risk
- Poor metadata quality
- Low maintainer engagement
Per-check LLM notes
- Network: The network call patterns suggest legitimate use of aiohttp for making HTTP requests, possibly for file operations or cloud storage interactions.
- Shell: No shell execution patterns were detected.
- 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 poor metadata quality, which could indicate low effort or potential malicious intent.
Package Quality Overall: Low (2.0/10)
○ 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
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
24 type-annotated function signatures detected in source
○ 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
score 3.0
Found 2 network call pattern(s)
else: async with aiohttp.ClientSession() as session: client = MinIOClient(session=else: async with aiohttp.ClientSession() as session: return await fun(session) i
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
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 6.0
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)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with backend-file-toolbag
Create a file management mini-application using the Python package 'backend-file-toolbag'. This application will serve as a user-friendly interface for managing files on a server or local machine. Your task is to design and implement a system that allows users to perform basic file operations such as uploading, downloading, renaming, deleting, and listing files. Additionally, the application should support more advanced features like searching for files based on metadata, generating thumbnails for image files, and providing a preview of text-based documents. Step 1: Set up your development environment. Ensure you have Python installed and create a virtual environment for your project. Install the 'backend-file-toolbag' package and any other necessary dependencies. Step 2: Design the API endpoints for your application. Define routes for uploading files, listing files, downloading files, renaming files, deleting files, and searching files. Each endpoint should accept appropriate parameters and return meaningful responses. Step 3: Implement the core functionalities using the 'backend-file-toolbag' package. Use its methods to handle file uploads, manage file metadata, generate thumbnails for images, and provide previews for text files. Ensure all operations are secure and efficient. Step 4: Develop a simple web frontend for interacting with your API. Create forms for uploading files and input fields for searching files. Display lists of files and allow users to interact with them via buttons or links. Step 5: Test your application thoroughly. Verify that all file operations work correctly and that the application handles errors gracefully. Ensure that the 'backend-file-toolbag' package is being utilized effectively throughout the application. Suggested Features: - User authentication to restrict access to file operations - File versioning to keep track of changes - Support for multiple file types, including images, videos, and documents - Integration with cloud storage services for scalable file storage - Real-time notifications for file updates By following these steps, you'll create a robust and user-friendly file management tool that leverages the powerful capabilities of the 'backend-file-toolbag' package.
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