az-scout-plugin-avs-sku

v2026.5.1 suspicious
4.0
Medium Risk

Azure VMware Solution (AVS) SKU exploration plugin for az-scout

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network calls, shell execution, obfuscation, and credential harvesting. However, its metadata suggests low maintenance and engagement, which raises some suspicion about its legitimacy and reliability.

  • Low maintenance and engagement
  • Potential lack of updates or support
Per-check LLM notes
  • Network: The network call is likely legitimate, given the package's name suggests it might interact with Azure services, but further investigation into the URL and data exchanged is recommended.
  • Shell: No shell execution patterns were detected, which is normal and expected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows low maintenance and engagement signs, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

  • Test runner config found: pyproject.toml
  • 3 test file(s) detected (e.g. test_avs_data.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (5787 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 28 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 34 commits in az-scout/az-scout-plugin-avs-sku
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • Any] | list[Any]: resp = requests.get( url, timeout=REQUEST_TIMEOUT_SECONDS,
✓ 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with az-scout-plugin-avs-sku 
Develop a Python-based utility named 'AVS-SKU Explorer' that leverages the 'az-scout-plugin-avs-sku' package to explore and manage Azure VMware Solution (AVS) SKUs. This utility should provide a comprehensive set of functionalities to help administrators and developers efficiently interact with AVS SKUs within their Azure environments. Here’s a detailed breakdown of the requirements and steps to create this utility:

1. **Setup**: Begin by setting up your development environment with Python and installing the required packages including 'az-scout-plugin-avs-sku'. Ensure you have the necessary permissions to access Azure resources.
2. **Authentication**: Implement a secure authentication mechanism allowing users to log in using Azure credentials. This will enable the utility to connect to the user's Azure account and retrieve relevant information about AVS SKUs.
3. **Main Features**:
   - **List SKUs**: Develop a feature that lists all available AVS SKUs in the user's subscription. This should include details such as SKU name, description, pricing tier, and availability zones.
   - **Filtering and Sorting**: Allow users to filter and sort the SKU list based on criteria like price, location, and capabilities. This will help users quickly find the most suitable SKUs for their needs.
   - **Detailed Information**: Provide a functionality to view detailed information about a selected SKU, including specifications, supported features, and any limitations.
   - **Recommendation Engine**: Implement a recommendation engine that suggests the best AVS SKUs based on user inputs such as budget, performance requirements, and geographical preferences.
4. **User Interface**: Design a simple yet intuitive command-line interface (CLI) for the utility. The CLI should be easy to navigate and use, providing clear prompts and feedback to the user.
5. **Documentation**: Create comprehensive documentation for the utility, covering installation, setup, usage examples, and troubleshooting tips.
6. **Testing**: Thoroughly test the utility to ensure it functions correctly and efficiently. Include unit tests and integration tests to cover various scenarios and edge cases.
7. **Deployment**: Prepare the utility for deployment, ensuring it can be easily installed and run by end-users. Consider packaging it as a standalone executable or a containerized application.

By utilizing the 'az-scout-plugin-avs-sku' package, you will be able to integrate its core functionalities into your utility, making it a powerful tool for managing AVS SKUs. Your goal is to create a utility that not only meets but exceeds the expectations of its users, offering a seamless and efficient way to explore and utilize AVS SKUs.

💬 Discussion Feed

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