AI Analysis
The package exhibits low risks in terms of network usage, shell execution, and obfuscation, with no evidence of credential harvesting. However, its metadata quality and maintainer activity levels raise concerns, warranting further investigation.
- Low maintainer activity
- Poor metadata quality
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communications.
- Shell: No shell execution detected, indicating the package does not execute system commands directly.
- Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret or credential theft.
- Metadata: The package shows low maintainer activity and poor metadata quality, raising some suspicion but not strong indicators of malice.
Package Quality Overall: Low (1.2/10)
No test suite detected
No test files or test-runner configuration detected
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 β 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
No author email provided
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 simple cloud storage management tool using the 'any2cos' Python package. This tool will allow users to upload files to various cloud storage services (such as COS - Cloud Object Storage) and manage their files through a command-line interface (CLI). Hereβs a detailed breakdown of what your application should do: 1. **User Authentication**: Allow users to authenticate with their cloud storage service credentials (e.g., API keys, access tokens). Implement secure handling of these credentials. 2. **File Upload**: Enable users to upload files from their local machine to the cloud storage service. Provide options to specify file paths and destination directories in the cloud. 3. **File Management**: Offer commands to list all files in a specific directory on the cloud storage, delete files, and rename files. 4. **Progress Tracking**: Display real-time progress of file uploads and downloads. 5. **Error Handling**: Ensure that your application gracefully handles errors such as invalid credentials, network issues, and file permissions problems. 6. **Configuration File**: Support a configuration file where users can store default settings like default cloud storage path, authentication details, etc. 7. **Help and Documentation**: Include comprehensive help documentation accessible via CLI commands to guide users on how to use each feature. **Utilization of 'any2cos' Package**: The 'any2cos' package is presumed to offer functionalities related to uploading and managing files in cloud storage services, although its exact capabilities are not specified. Your task is to explore its API and utilize it effectively to implement the above-mentioned features. For instance, you might use 'any2cos' to handle the authentication process, file uploads/downloads, and other interactions with the cloud storage service. Document your findings about 'any2cos' and how you integrated it into your application.
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