🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network activity, shell execution, obfuscation, and credential handling. However, the metadata risk score is elevated due to the lack of maintainer history and the recent creation date, which raises suspicion.

Metadata risk score is high
Package lacks description and maintainer history

Per-check LLM notes

Network: No network calls suggest normal behavior unless the package is purely local.
Shell: No shell execution detected, indicating no immediate risk of command injection or local privilege escalation.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
Metadata: The package shows signs of being newly created and lacks maintainer history, raising concerns about its legitimacy.

📦 Package Quality Overall: Low (1.2/10)

○ 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

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

GitHub API error: 404

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ 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

Email domain looks legitimate: strukto.ai>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with agentvfs-sdk

Your task is to develop a fully functional mini-application named 'AgentVFS Manager' using the Python package 'agentvfs-sdk'. This application will serve as a bridge between users and their virtual file systems managed by AgentVFS, enabling them to perform various operations such as file creation, deletion, modification, and retrieval from remote servers in a secure and efficient manner.

### Core Features:
- **Authentication & Authorization**: Implement a user-friendly login system where users can authenticate themselves via OAuth2.0 or similar protocols. Ensure that once logged in, users can only access files they are authorized to view or modify.
- **File Management Operations**: Utilize the 'agentvfs-sdk' package to enable users to create, read, update, and delete files within their virtual file systems. This includes uploading files from local storage to the virtual file system and downloading files from the virtual file system to local storage.
- **Search Functionality**: Allow users to search for specific files based on metadata such as name, size, last modified date, etc., directly through the application interface.
- **Notifications & Alerts**: Integrate real-time notifications for important events like file modifications, deletions, or errors during file operations.
- **User Interface**: Design a clean, intuitive, and responsive UI using frameworks like Tkinter or PyQt5 for desktop applications, or Flask/Django for web-based interfaces.

### How 'agentvfs-sdk' is Utilized:
- **Initialization**: Start by installing the 'agentvfs-sdk' package and initializing it with your credentials or API keys provided by AgentVFS.
- **API Calls**: Use the SDK's methods to interact with the virtual file system. For example, use 'create_file', 'read_file', 'update_file', and 'delete_file' methods for performing respective operations.
- **Error Handling**: Implement robust error handling mechanisms to catch and display meaningful messages to users when operations fail due to network issues, permission errors, etc.
- **Security Measures**: Leverage the security features of 'agentvfs-sdk' to ensure all data transfers are encrypted and secure.

### Additional Considerations:
- Document your code thoroughly, providing comments and explanations where necessary.
- Test your application rigorously under different scenarios to ensure reliability and performance.
- Provide clear installation and usage instructions for other developers who might want to extend or modify your application.