aws-resource-validator-license-manager-user-subscriptions

v2.0.3 safe
3.0
Low Risk

Pydantic v2 models for AWS license_manager_user_subscriptions, shipped as a PEP 420 namespace extension of aws-resource-validator.

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity and does not pose a direct threat to users. However, the sparse author information and potentially inactive maintainer suggest some caution is warranted.

  • No network or shell risks detected
  • Sparse author information and possibly inactive maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package focused on AWS resource validation and license management.
  • Shell: No shell execution patterns detected, consistent with the package's purpose of validating AWS resources and managing user subscriptions.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting normal usage without hidden risks.
  • Metadata: The author information is sparse and the maintainer may be inactive, but no other red flags were identified.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (381 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 75 commits in CoreOxide/aws_resource_validator
  • Small but multi-author team (3–4 contributors)

🔬 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository CoreOxide/aws_resource_validator appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • 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 aws-resource-validator-license-manager-user-subscriptions 
Create a Python-based utility named 'LicenseManagerSubscriptionsChecker' that leverages the 'aws-resource-validator-license-manager-user-subscriptions' package to validate and manage AWS License Manager User Subscriptions. This tool should allow users to easily check their subscription status, manage subscriptions, and validate subscription configurations. Here are the steps and features you need to implement:

1. **Setup**: Start by setting up your Python environment with all necessary dependencies, including 'boto3', 'pydantic', and 'aws-resource-validator-license-manager-user-subscriptions'. Ensure that the user has the appropriate AWS credentials configured.

2. **Authentication**: Implement a secure method for users to authenticate their AWS credentials. This could involve using IAM roles or directly entering access keys and secret keys securely.

3. **Subscription Validation**: Utilize the 'aws-resource-validator-license-manager-user-subscriptions' package to define Pydantic models for validating subscriptions. These models should enforce strict rules on the structure and content of subscription data, ensuring that any inputted or fetched data conforms to expected standards.

4. **Fetch Subscriptions**: Create a feature that allows users to fetch their current subscriptions from AWS License Manager. Use the defined Pydantic models to validate the fetched data against the expected schema.

5. **Subscription Management**: Provide options for adding, updating, and deleting subscriptions. Each action should be validated against the Pydantic models before being sent to AWS.

6. **Report Generation**: Develop a functionality to generate reports based on the subscription data. Users should be able to request summaries, detailed lists, or specific information about their subscriptions.

7. **Error Handling**: Implement robust error handling mechanisms to catch and report any issues encountered during subscription validation, fetching, or management operations.

8. **User Interface**: Although primarily command-line oriented, consider adding a simple CLI interface that guides users through the process of managing their subscriptions with clear prompts and feedback.

9. **Documentation**: Finally, provide comprehensive documentation explaining how to install and use the 'LicenseManagerSubscriptionsChecker', including examples and best practices for working with AWS License Manager User Subscriptions.

By following these steps, you'll create a powerful yet easy-to-use utility that helps users maintain and optimize their AWS License Manager User Subscriptions.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!