aws-resource-validator-pi

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks associated with network, shell execution, obfuscation, and credential harvesting. However, the metadata risk due to incomplete author information and potential inactivity of the maintainer slightly increases the overall risk score.

  • Minimal risk in network and execution activities.
  • Incomplete author information and potential maintainer inactivity.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access to function properly.
  • Shell: No shell execution patterns detected, indicating low risk of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author information is incomplete and the maintainer seems new or inactive, raising some concerns but not conclusive evidence 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 (285 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-pi 
Your task is to develop a Python-based utility named 'AWS PI Resource Validator' that leverages the 'aws-resource-validator-pi' package to validate resources against AWS Pricing and Cost Management's PI (Pricing Information). This tool will serve as a critical component for DevOps teams looking to ensure their infrastructure-as-code (IaC) templates are compliant with AWS pricing models before deployment. The utility should include the following features:

1. **Resource Validation**: Implement a function that takes an AWS resource configuration as input (e.g., EC2 instance type, S3 bucket settings) and validates it against the latest AWS PI data using pydantic models provided by the 'aws-resource-validator-pi' package.
2. **Cost Estimation**: Integrate a feature to estimate costs based on the validated resource configurations. This will help users understand the financial implications of their IaC designs.
3. **Custom Rules Engine**: Allow users to define custom validation rules that extend beyond the default PI data. These rules could include thresholds for cost limits, specific compliance requirements, etc.
4. **Output Reports**: Provide a mechanism to generate detailed reports summarizing the validation results and cost estimations. Users should be able to choose between different output formats such as JSON, CSV, or HTML.
5. **Command Line Interface (CLI)**: Develop a CLI for easy access and integration into existing workflows. The CLI should support common operations like validating resources, estimating costs, and generating reports.
6. **Integration Testing**: Ensure comprehensive testing of your utility, including unit tests for each component and integration tests to verify interactions with AWS PI data and user-defined rules.

The 'aws-resource-validator-pi' package is essential for fetching and validating against the latest AWS PI data, ensuring that your utility stays up-to-date with AWS pricing changes without requiring manual updates.

Your goal is to create a robust, user-friendly tool that enhances the reliability and cost-effectiveness of AWS deployments by integrating seamlessly with existing CI/CD pipelines.

💬 Discussion Feed

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