aws-resource-validator-cur

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package appears to be safe with no network calls or shell executions detected. The metadata risk is slightly elevated due to sparse author information, but there are no clear signs of malicious activity.

  • No network calls detected
  • No shell execution patterns found
  • Sparse author information
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires them for its functionality.
  • Shell: No shell execution patterns detected, indicating it does not execute external commands.
  • Metadata: The author's information is sparse, suggesting potential unreliability or newness, but no clear indicators 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 (288 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-cur 
Create a comprehensive utility application named 'CurAnalyzer' using Python and the 'aws-resource-validator-cur' package. This tool aims to provide detailed analysis and validation of AWS Cost and Usage Reports (CUR). The application should perform the following steps and features:

1. **Initialization**: Start by importing necessary modules from 'aws-resource-validator-cur' and setting up configurations for connecting to AWS services.
2. **CUR File Validation**: Implement a function to validate CUR files against Pydantic models provided by 'aws-resource-validator-cur'. This ensures data integrity and conformity to expected schemas.
3. **Cost Analysis**: Develop functionalities to parse validated CUR files and extract cost-related information. Users should be able to filter costs by various dimensions such as service, region, account ID, and time period.
4. **Usage Insights**: Include a feature to analyze usage data within CUR files, providing insights into resource utilization patterns across different AWS services.
5. **Visualization**: Integrate visualization libraries like Matplotlib or Plotly to graphically represent cost and usage trends over time. Users should be able to customize these visualizations based on their preferences.
6. **Reporting**: Allow users to generate detailed reports summarizing cost and usage analyses. These reports should be exportable in formats like PDF or Excel.
7. **User Interface**: Optionally, design a simple command-line interface (CLI) for interacting with 'CurAnalyzer', making it user-friendly and accessible without requiring advanced programming knowledge.
8. **Error Handling and Logging**: Ensure robust error handling mechanisms are in place to manage exceptions gracefully. Implement logging to track operations and potential issues encountered during CUR file processing.

This project not only leverages the powerful validation capabilities of 'aws-resource-validator-cur' but also enhances its utility by adding sophisticated analytical and reporting functionalities. Your task is to design and implement each of these features, ensuring they work seamlessly together to offer a valuable tool for managing AWS cost and usage data.

💬 Discussion Feed

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