aws-resource-validator-connect

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows very low risk indicators with no network calls, shell executions, obfuscations, or credential risks. The metadata risk is slightly elevated due to sparse author information.

  • No network calls detected.
  • Sparse author information.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author information is sparse, indicating potential lack of transparency, but no clear signs of malicious intent.

📦 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 (300 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-connect 
Create a Python-based mini-application named 'ConnectResourceInspector' that leverages the 'aws-resource-validator-connect' package to validate and inspect AWS Connect resources. This tool should enable users to input various AWS Connect resource configurations in YAML format and receive validation reports indicating whether these configurations adhere to best practices and meet specific criteria defined within the package's Pydantic v2 models.

Steps to Build:
1. Set up the project structure including directories for source code, tests, and configuration files.
2. Install the 'aws-resource-validator-connect' package along with other necessary dependencies such as Pydantic v2, Boto3 for AWS SDK, and PyYAML for handling YAML files.
3. Define functions to load AWS Connect resource configurations from YAML files into Python dictionaries.
4. Implement a validation function that takes these configurations and validates them against the Pydantic models provided by 'aws-resource-validator-connect'.
5. Develop a reporting mechanism to display validation results in a user-friendly manner, highlighting any issues or warnings found during the validation process.
6. Integrate error handling to manage cases where configurations fail to load or validate properly.
7. Write unit tests to ensure the correctness of your validation logic and reporting.
8. Package your application as a command-line tool using Click or a similar framework, allowing users to specify YAML files containing AWS Connect resources for inspection.

Suggested Features:
- Support for multiple AWS Connect resource types (e.g., Contact Flows, Hours of Operations).
- Option to specify custom validation rules beyond those provided by 'aws-resource-validator-connect', allowing for tailored compliance checks.
- Integration with AWS SSO or IAM roles for secure access to AWS resources when needed.
- Detailed logging and output customization options for different user preferences.

How 'aws-resource-validator-connect' is Utilized:
This package provides pre-defined Pydantic models that represent valid AWS Connect resources according to AWS standards and best practices. By leveraging these models, 'ConnectResourceInspector' can automatically validate resource configurations against these standards, ensuring they are correctly formatted and compliant before deployment. Additionally, the package's namespace structure allows for easy extension and integration with other AWS resource validation tools.

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