AI Analysis
The package shows low risks across all categories with no signs of malicious activities or unexpected behaviors.
- No network calls or shell executions detected.
- Low obfuscation and metadata risks.
Per-check LLM notes
- Network: No network calls detected, which is normal for packages not requiring real-time API interactions.
- Shell: No shell execution patterns detected, indicating no unexpected system command executions.
- Obfuscation: The observed pattern is likely for extending module search path and is not indicative of malicious activity.
- Credentials: No patterns indicative of credential harvesting were detected.
- Metadata: The author's details are sparse, indicating potential lack of transparency, but no clear indicators of malicious intent.
Package Quality Overall: Medium (5.4/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (5646 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project165 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
Create a Python-based command-line utility that leverages the 'azure-mgmt-azurestack' package to manage resources within an Azure Stack environment. This utility should allow users to perform various actions such as deploying virtual machines, managing storage accounts, and handling network configurations. The tool will serve as an educational and practical demonstration of interacting with Azure Stack through its management API using Python. The application should include the following functionalities: 1. **Authentication**: Allow users to authenticate their Azure Stack account via interactive login or by providing credentials directly. 2. **Resource Group Management**: Provide commands to create, list, and delete resource groups. 3. **Virtual Machine Operations**: Enable users to deploy, start, stop, and delete virtual machines within specified resource groups. 4. **Storage Account Management**: Implement functionality to create, list, and delete storage accounts. 5. **Network Configuration**: Offer capabilities to manage virtual networks, including creation, listing, and deletion. 6. **Logging and Error Handling**: Ensure that all operations are logged, and any errors encountered during execution are gracefully handled and reported back to the user. To achieve these objectives, you will need to utilize the core functionalities provided by the 'azure-mgmt-azurestack' package. This includes making use of the SDK's classes and methods to interact with Azure Stack services such as Compute, Storage, and Network. Additionally, ensure your application follows best practices for Python development, including modular design, clean code structure, and thorough documentation.
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