aws-resource-validator-codestar-connections

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package presents low risks across all categories with no signs of malicious activity. However, metadata issues slightly elevate the risk score.

  • Author metadata lacking detail
  • Single published package by author
Per-check LLM notes
  • Network: No network calls detected, which is normal for packages not requiring external API interactions.
  • Shell: No shell execution patterns detected, indicating no immediate risk of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some red flags such as an author with a missing or very short name and an author with only one published package, but there are no clear signs of typosquatting or other malicious activities.

📦 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 (339 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-connections 
Develop a mini-application named 'CodeStarConnectionChecker' that leverages the 'aws-resource-validator-codestar-connections' Python package to validate and manage AWS CodeStar Connections resources. This tool will help users ensure their AWS CodeStar Connections configurations are correct and adhere to best practices. Here’s a detailed breakdown of what your application should accomplish:

1. **Setup**: Begin by setting up a virtual environment and installing the necessary packages, including 'aws-resource-validator-codestar-connections'. Ensure you have the AWS SDK for Python (Boto3) installed as well.

2. **Authentication**: Implement a mechanism for users to authenticate with their AWS account using IAM roles or access keys. The application should securely handle these credentials.

3. **Resource Validation**: Utilize the 'aws-resource-validator-codestar-connections' package to define and validate CodeStar Connection resource models. This includes validating parameters such as connection name, provider type, and ARN against Pydantic v2 standards.

4. **Connection Management**: Allow users to create, update, and delete CodeStar Connections through the application. Each operation should include validation steps to ensure data integrity before any AWS API calls are made.

5. **Logging & Error Handling**: Implement comprehensive logging and error handling mechanisms to capture all operations performed and any errors encountered during the process.

6. **User Interface**: Develop a simple command-line interface (CLI) for interacting with the application. Users should be able to easily perform CRUD operations on their CodeStar Connections via this CLI.

7. **Documentation**: Provide clear documentation on how to set up and use the 'CodeStarConnectionChecker', including examples of common use cases and troubleshooting tips.

The 'aws-resource-validator-codestar-connections' package is primarily utilized in Step 3 for defining and validating the structure and correctness of AWS CodeStar Connections resources. By leveraging Pydantic v2 models provided by this package, your application ensures that all AWS API calls are made with correctly formatted and validated data, reducing the risk of errors and improving overall reliability.

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