aws-resource-validator-connecthealth

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activities such as network calls, shell executions, or credential harvesting. However, the metadata risk score is slightly elevated due to incomplete author information.

  • No network calls detected
  • Incomplete author information
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is incomplete, suggesting a potentially less reputable source.

📦 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 (318 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-connecthealth 
Develop a Python-based mini-application named 'ConnectHealthMonitor' that leverages the 'aws-resource-validator-connecthealth' package to validate AWS ConnectHealth resources. This application will serve as a tool for DevOps engineers and system administrators to ensure their AWS ConnectHealth configurations adhere to best practices and are free from common issues.

The application should have the following functionalities:
1. **Resource Validation**: The core functionality involves validating different types of AWS ConnectHealth resources such as Health Checks, Trusted Advisor Checks, and more. Use the pydantic models provided by the 'aws-resource-validator-connecthealth' package to define the structure and validate these resources against predefined schemas.
2. **Report Generation**: After validation, generate a detailed report that highlights any issues found during the validation process. This report should include information about which resources failed validation, why they failed, and suggestions on how to correct them.
3. **Integration with AWS Services**: Implement basic integration with AWS services like S3 and SNS to automatically upload the validation reports to an S3 bucket and notify stakeholders via SNS when a resource fails validation.
4. **Command Line Interface (CLI)**: Provide a user-friendly CLI interface where users can specify the AWS region, specific resources to validate, and output formats for the report.
5. **Customizable Rules**: Allow users to customize validation rules by providing additional schemas or modifying existing ones through a configuration file.

To utilize the 'aws-resource-validator-connecthealth' package, follow these steps:
- Install the package using pip.
- Import the necessary models from the package to define the schema for AWS ConnectHealth resources.
- Implement functions to load AWS resources and validate them against the defined schemas.
- Use the package's error handling mechanisms to capture and interpret validation errors effectively.
- Integrate the package's models into your report generation logic to provide meaningful feedback.

Ensure your application is well-documented, including setup instructions, usage examples, and explanations of each feature. Additionally, write comprehensive tests to verify the correctness and reliability of your implementation.

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