AI Analysis
The package exhibits normal network interactions typical for web service communication and does not show any signs of obfuscation, shell execution, or credential harvesting, indicating a low risk profile.
- Low network risk
- No signs of obfuscation, shell execution, or credential harvesting
Per-check LLM notes
- Network: The observed network patterns are typical for packages that interact with web services, suggesting normal behavior unless the URLs are known to be malicious.
- Shell: No shell execution patterns were detected, indicating low risk for direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
Package Quality Overall: Low (3.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (1607 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
24 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
Found 4 network call pattern(s)
rip('/')}" response = requests.get(url, headers=self.headers, timeout=self.timeout) retrip('/')}" response = requests.post(url, headers=self.headers, json=json, timeout=self.timeout)rip('/')}" response = requests.delete(url, headers=self.headers, timeout=self.timeout) retek(0) put_response = requests.put( upload_url, data=buffer,
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: annapurnasuite.com>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 mini-application that serves as a personal media manager utilizing the 'annapurna' Python SDK, which provides access to the Annapurna Suite. This application will allow users to manage their media files (such as videos and images) stored in the Annapurna Suite. Hereβs how you can structure your project: 1. **User Authentication**: Implement user authentication using OAuth2.0 to ensure secure access to the Annapurna Suite. Users should be able to log in and out of the application. 2. **Media Library Management**: Develop functionality to list, upload, download, and delete media files from the Annapurna Suite. Users should be able to organize their media into different folders and subfolders. 3. **Search Functionality**: Integrate a search feature that allows users to find specific media files based on keywords, tags, or file types. 4. **Media Sharing**: Enable users to share media files directly from the application with other users or via a shareable link. 5. **Metadata Management**: Allow users to add, edit, and view metadata associated with each media file, such as title, description, tags, etc. 6. **User Interface**: Design a simple yet intuitive web interface using Flask or Django to interact with the Annapurna Suite API through the 'annapurna' SDK. Ensure the UI is responsive and accessible. 7. **Security Enhancements**: Incorporate security best practices, such as encrypting sensitive data, validating user inputs, and handling errors gracefully. The 'annapurna' package will be utilized extensively throughout this project. Use it to authenticate users, manage media operations, and handle all interactions with the Annapurna Suite API. Make sure to explore the documentation provided by the 'annapurna' package to understand its capabilities and limitations fully.
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