aws-resource-validator-codebuild

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package has minimal risk indicators with no network calls, shell executions, or obfuscation techniques observed. 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 unless the package relies on external services.
  • Shell: No shell execution detected, which is expected and safe.
  • 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 potential lack of transparency or a newly created 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 (306 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-codebuild 
Create a fully-functional mini-application called 'CodeBuildResourceChecker' that leverages the 'aws-resource-validator-codebuild' Python package to validate and manage AWS CodeBuild resources. This tool will help developers ensure their CodeBuild configurations adhere to best practices and standards before deployment. Here’s a detailed step-by-step guide on how to build this application:

1. **Setup Project Environment**: Initialize a new Python project and install necessary dependencies including 'aws-resource-validator-codebuild'. Ensure your environment is set up with AWS credentials for authentication.

2. **Define Core Functionality**: Use the models provided by 'aws-resource-validator-codebuild' to define functions that can parse and validate CodeBuild projects and builds. These functions should check for common issues like missing parameters, incorrect resource references, etc.

3. **Integrate CLI Interface**: Develop a command-line interface (CLI) for the application where users can input paths to CodeBuild configuration files (either YAML or JSON). The CLI should accept these files as inputs and use them to instantiate CodeBuild models from 'aws-resource-validator-codebuild'.

4. **Validation Process**: Implement a validation process that checks each instantiated model against predefined rules and best practices. This could include ensuring all required fields are present, checking for correct IAM role permissions, verifying source code repositories exist, and more.

5. **Reporting Mechanism**: After validation, provide detailed feedback to the user through the CLI about any issues found in the CodeBuild configuration. This report should suggest fixes for any detected problems.

6. **Optional Enhancements**: Consider adding optional features such as integration with CI/CD pipelines to automatically run validations during build processes, support for multiple AWS regions, or even a web-based UI for visualizing validation results.

Throughout development, focus on making the application easy to use and understand, while also ensuring robustness and reliability in its validation capabilities.

💬 Discussion Feed

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