aws-resource-validator-bcm-pricing-calculator

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package exhibits very low risk across all analyzed categories, with no network calls, shell executions, or obfuscation techniques observed. The only notable concern is 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 requires internet access to function properly.
  • Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author information is incomplete, which may indicate a lack of transparency.

📦 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 (345 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-bcm-pricing-calculator 
Create a Python-based command-line tool named 'AWS Cost Estimator' which leverages the 'aws-resource-validator-bcm-pricing-calculator' package to estimate costs for various AWS resources based on user input. This tool should allow users to specify different types of AWS resources such as EC2 instances, S3 buckets, RDS databases, etc., along with their configurations (e.g., instance type, storage size, etc.). It should then use the 'aws-resource-validator-bcm-pricing-calculator' package to validate the input data and calculate the associated cost based on current AWS pricing.

The application should include the following features:
- A user-friendly command-line interface where users can select the type of resource they want to estimate the cost for.
- Input validation using the Pydantic v2 models provided by 'aws-resource-validator-bcm-pricing-calculator' to ensure the data entered by the user is correct and meets AWS requirements.
- Integration with AWS pricing APIs or static pricing data to fetch the latest pricing information for the specified resources.
- An output display showing the estimated monthly cost for the selected resources, including any additional fees or charges relevant to the chosen configuration.
- The ability to save the cost estimation results to a file for future reference.

Utilize the 'aws-resource-validator-bcm-pricing-calculator' package to define and validate the structure of the input data. This will help in ensuring that the cost calculations are accurate and based on valid AWS resource configurations. Additionally, implement error handling to provide meaningful feedback to the user if there are issues with their inputs or if there are problems fetching pricing data.

💬 Discussion Feed

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