aws-resource-validator-service-quotas

v2.0.3 safe
4.0
Medium Risk

Pydantic v2 models for AWS service_quotas, 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 obfuscations detected. The primary concern is incomplete metadata, but this alone does not suggest a supply-chain attack.

  • No network calls detected
  • Incomplete author metadata
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating no direct system command execution within the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious code.
  • Credentials: No credential harvesting patterns detected, suggesting legitimate use without secret theft.
  • Metadata: The author's information is lacking, 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-service-quotas 
Your task is to create a Python-based command-line tool named 'QuotaGuard' that helps AWS users monitor and manage their service quotas. This tool will leverage the 'aws-resource-validator-service-quotas' package to validate and fetch current quotas for various AWS services. Here's a detailed breakdown of the project requirements:

1. **Authentication**: Implement a secure method to authenticate with AWS using IAM roles or access keys.
2. **Quota Fetching**: Utilize the 'aws-resource-validator-service-quotas' package to fetch and validate current service quotas from AWS. Ensure the tool supports multiple regions and services.
3. **Quota Comparison**: Allow users to compare their current quotas against predefined thresholds or historical data. Provide alerts or notifications when quotas approach critical limits.
4. **Reporting**: Generate detailed reports on quota usage, including visualizations like graphs and charts, to help users understand their resource consumption patterns.
5. **Customization**: Enable users to customize which services and quotas they want to track, and allow them to set custom thresholds for alerts.
6. **Logging**: Implement logging to keep track of all operations performed by the tool, such as fetching quotas and sending alerts.
7. **CLI Interface**: Design a user-friendly command-line interface (CLI) for interacting with the tool, including commands for fetching quotas, setting thresholds, and generating reports.
8. **Documentation**: Write comprehensive documentation explaining how to install and use the tool, along with examples and best practices.

The 'aws-resource-validator-service-quotas' package is essential for validating and structuring the data fetched from AWS. It ensures that the quota information is accurate and consistent, making it easier for your tool to perform validations and comparisons. Additionally, utilize Pydantic models provided by the package to handle complex data structures efficiently.

💬 Discussion Feed

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