aws-resource-validator-kendra

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package poses minimal risks based on the analysis. It does not engage in network calls, shell executions, or obfuscations, and there's no evidence of credential harvesting.

  • Low metadata risk with new/inactive maintainer
  • No network or shell risk detected
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating no direct system command execution is occurring.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, which raises some suspicion but does not strongly indicate 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 (297 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-kendra 
Develop a Python-based utility called 'Kendra Resource Inspector' that leverages the 'aws-resource-validator-kendra' package to validate and analyze Amazon Kendra resources. This tool will help users ensure their Kendra configurations meet specific criteria and provide insights into potential issues or optimizations. Here’s a detailed outline of the project:

1. **Project Setup**: Initialize a new Python project. Ensure you have installed the necessary packages including 'aws-resource-validator-kendra', 'boto3' for AWS SDK, and 'Pydantic' for model validation.

2. **Resource Fetching**: Create a module to fetch Kendra resources from AWS using Boto3. This should include indices, data sources, and any other relevant resources.

3. **Validation Module**: Implement a validation module that uses the 'aws-resource-validator-kendra' package to validate fetched resources against predefined schemas. These schemas should cover common configuration aspects such as data source types, index settings, and access control policies.

4. **Report Generation**: Develop a feature that generates detailed reports on resource validations. Reports should highlight any discrepancies between actual configurations and expected schemas, along with recommendations for improvements.

5. **Interactive CLI**: Design an interactive command-line interface (CLI) for users to interact with the tool. Users should be able to specify which Kendra resources they want to inspect, view validation results, and receive actionable feedback directly from the CLI.

6. **Logging and Error Handling**: Incorporate robust logging and error handling mechanisms to ensure the tool operates smoothly even under unexpected conditions. Logs should capture all interactions and critical events for auditing purposes.

7. **Documentation**: Write comprehensive documentation covering installation, usage, and customization options for the tool. Include examples and best practices for configuring and validating Kendra resources.

By utilizing the 'aws-resource-validator-kendra' package, your utility will offer a powerful yet user-friendly way to maintain high standards in Amazon Kendra deployments.

💬 Discussion Feed

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