aws-resource-validator-codestar-notifications

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity such as network calls, shell execution, or credential harvesting. However, the incomplete author information and single-package maintainer suggest a lower level of trustworthiness.

  • Incomplete author information
  • Single-package maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network interaction with AWS services.
  • Shell: No shell execution detected, which is expected for a typical Python package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author information is incomplete, and the maintainer has only one package which may indicate a new or less active account.

📦 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 (345 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-codestar-notifications 
Create a Python-based mini-application named 'CodeStarMonitor' that leverages the 'aws-resource-validator-codestar-notifications' package to monitor and validate resources within AWS CodeStar Notifications. This application will serve as a lightweight tool for developers and DevOps engineers to ensure their AWS resources comply with defined validation rules and receive notifications about resource changes or issues.

The application should include the following core functionalities:
1. **Resource Validation**: Implement a function that takes in AWS resource configurations and validates them against predefined Pydantic v2 models provided by the 'aws-resource-validator-codestar-notifications' package. This ensures that all resources adhere to the correct structure and required fields.
2. **Notification Subscription Management**: Allow users to subscribe to different types of events within AWS CodeStar Notifications using the validated resources. The application should support adding, removing, and listing subscriptions.
3. **Event Listener**: Develop an event listener that reacts to notifications from AWS CodeStar. When an event occurs (e.g., a new deployment), the listener should trigger a corresponding action, such as running a script or sending an email notification.

Additional features to consider:
- A user-friendly command-line interface (CLI) for easy interaction with the application.
- Integration with popular cloud management tools or services.
- Logging and reporting mechanisms to track validation results and subscription statuses.
- Support for multiple AWS accounts and regions.

To utilize the 'aws-resource-validator-codestar-notifications' package, you'll need to import its Pydantic models and use them within your validation logic. For example, when validating a resource configuration, you can compare it against the model to ensure it meets the expected criteria before proceeding with any further actions. Additionally, when setting up or managing subscriptions, make sure to validate the subscription details against the appropriate models to maintain data integrity.

💬 Discussion Feed

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