AI Analysis
The package shows low risks across multiple categories, with no direct evidence of malicious intent. The metadata risk score is slightly elevated due to sparse author information.
- No network calls detected
- No shell execution patterns
- Low credential risk
- Metadata risk due to sparse author information
Per-check LLM notes
- Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity; could be due to the package's design or testing environment.
- Shell: No shell execution patterns detected, indicating the package does not execute commands on the system level, which is expected and safe.
- Obfuscation: The observed pattern is likely used for extending module search path and not indicative of malicious activity.
- Credentials: No suspicious patterns indicating credential harvesting were detected.
- Metadata: The author's information is sparse, suggesting a potentially new or less active maintainer.
Package Quality Overall: Medium (5.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (3532 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
35 type-annotated function signatures detected in source
Active multi-contributor project
35 unique contributor(s) across 100 commits in Azure/azure-sdk-for-pythonActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
Found 2 obfuscation pattern(s)
__path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore __path__ =) # type: ignore __path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore # coding=u
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: microsoft.com> license-expression: mit
All external links appear legitimate
Repository Azure/azure-sdk-for-python appears legitimate
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
Your task is to develop a command-line tool using Python that manages bare metal servers on Microsoft Azure. This tool will allow users to perform basic management tasks such as listing available bare metal servers, provisioning new servers, updating server configurations, and deleting servers. The application will leverage the 'azure-mgmt-baremetalinfrastructure' package, which provides a client library for managing Azure Bare Metal Infrastructure services. The tool should have the following features: 1. Authentication: Users should be able to authenticate using their Azure credentials (subscription ID, tenant ID, client ID, and secret). 2. List Servers: Implement a function to list all available bare metal servers within a specified resource group. 3. Provision Server: Develop a feature that allows users to provision a new bare metal server, specifying details like location, size, and any additional configuration options supported by the Azure Bare Metal Infrastructure service. 4. Update Server: Include functionality to update an existing server's configuration, such as changing its size or applying new tags. 5. Delete Server: Provide a way to delete a bare metal server, ensuring that users are prompted for confirmation before proceeding. 6. Detailed Information: Each command should provide detailed output about the operation performed, including any errors encountered during execution. 7. Help and Documentation: Ensure the tool includes comprehensive help documentation accessible via a '--help' option, explaining each command and required parameters. In developing this tool, you will utilize the 'azure-mgmt-baremetalinfrastructure' package to interact with Azure's Bare Metal Infrastructure API. Your implementation should demonstrate best practices in error handling, logging, and user interaction. Additionally, ensure your code is well-documented and follows PEP 8 style guidelines.
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