aws-resource-validator-amplifybackend

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity based on the analysis notes provided. However, the metadata risk score is slightly elevated due to incomplete author information.

  • No network calls or shell executions detected
  • Metadata risk due to missing author details
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 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 the package is not designed to steal secrets.
  • Metadata: The author's name is missing and the author has only one package, suggesting potential unreliability.

📦 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 (321 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-amplifybackend 
Your task is to develop a utility application in Python that leverages the 'aws-resource-validator-amplifybackend' package to validate resources for an AWS Amplify backend. This tool will be particularly useful for developers who need to ensure their AWS Amplify backend configurations are correct before deploying them. Here’s a detailed step-by-step guide on what your application should achieve:

1. **Project Setup**: Begin by setting up your Python environment. Ensure you have Python 3.8+ installed along with pip. Use pip to install the required packages including 'aws-resource-validator-amplifybackend'.

2. **Application Structure**: Design a clean and modular structure for your application. Consider having separate modules for input handling, validation logic, and output formatting.

3. **Input Handling**: Your application should accept an AWS Amplify backend configuration file (typically in YAML format) as input. Implement functionality to parse this file and convert it into a structured format that can be validated using the 'aws-resource-validator-amplifybackend' package.

4. **Validation Logic**: Utilize the Pydantic v2 models provided by 'aws-resource-validator-amplifybackend' to validate the parsed configuration against the expected schema. Ensure that all fields adhere to the defined constraints and types.

5. **Error Reporting**: If any discrepancies are found during validation, your application should generate a comprehensive report detailing the issues. This report should include the specific field(s) that failed validation and a description of the expected vs actual values.

6. **Output Formatting**: Provide options for users to choose between different output formats for the validation report, such as plain text, JSON, or HTML.

7. **Interactive Mode**: As an optional feature, implement an interactive mode where users can input individual resource configurations directly via the command line. The application should then validate these inputs and provide immediate feedback.

8. **Integration Testing**: To ensure reliability, write integration tests that cover various scenarios, including valid and invalid configurations. Use the AWS Amplify backend documentation and sample files to create test cases.

9. **Documentation & README**: Finally, document your application thoroughly. Include a README file that explains how to install and use the application, along with examples and best practices.

This project aims to streamline the process of validating AWS Amplify backend configurations, thereby reducing deployment errors and improving development efficiency.

💬 Discussion Feed

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