aws-resource-validator-codedeploy

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, shell executions, obfuscations, or credential harvesting attempts. 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 the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting legitimate usage.
  • Metadata: The author information is sparse, suggesting a potentially less established or inactive maintainer.

📦 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 (309 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-codedeploy 
Create a fully-functional mini-application that helps developers validate their AWS CodeDeploy configurations before deploying their applications. This tool will utilize the 'aws-resource-validator-codedeploy' Python package to ensure all configurations adhere to best practices and are syntactically correct. The application should include the following features:

1. **Configuration Loading**: Allow users to load their AWS CodeDeploy configuration files (e.g., appspec.yaml) from local storage or a remote URL.
2. **Validation Engine**: Use the 'aws-resource-validator-codedeploy' package to validate the loaded configuration against Pydantic v2 models provided by the package. Ensure the validation checks for syntax errors, missing fields, and adherence to AWS best practices.
3. **Report Generation**: After validation, generate a detailed report highlighting any issues found during the validation process. This report should include suggestions on how to fix the issues.
4. **Integration with CI/CD Pipelines**: Provide an option for integrating the validation process into CI/CD pipelines using command-line interface (CLI) commands or API calls.
5. **User-Friendly Interface**: Develop a simple and intuitive user interface that allows developers to easily upload their configuration files, view validation results, and access the generated reports.

The goal is to create a tool that enhances the reliability and efficiency of the deployment process by catching potential issues early on.

💬 Discussion Feed

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