aws-resource-validator-kendra-ranking

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package exhibits low risk indicators across all categories with no signs of malicious activity. The metadata risk is slightly elevated due to incomplete maintainer information.

  • Low network and shell execution risks
  • No obfuscation or credential harvesting attempts
  • Incomplete maintainer information
Per-check LLM notes
  • Network: No network calls suggest normal behavior for a utility tool.
  • Shell: No shell executions suggest it does not perform system-level operations.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer's author information is incomplete and may indicate a new or less active account, but there are no clear signs of malicious intent from the provided signals.

📦 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-kendra-ranking 
Create a Python-based command-line tool named 'KendraRankChecker' that leverages the 'aws-resource-validator-kendra-ranking' package to validate and rank AWS Kendra indices based on user-defined criteria. This tool will help developers and administrators ensure their Kendra indices are optimized for search relevance and performance.

Step-by-Step Requirements:
1. **Setup**: Initialize a Python project with virtual environment support. Install 'aws-resource-validator-kendra-ranking', 'boto3' (for AWS SDK), and 'typer' (for CLI functionality).
2. **Configuration**: Allow users to configure AWS credentials and region through environment variables or a configuration file. Ensure the tool supports multiple AWS accounts via profile management.
3. **Index Validation**: Implement a feature to validate Kendra indices against predefined schemas using pydantic models from 'aws-resource-validator-kendra-ranking'. Display validation results, highlighting any discrepancies or errors.
4. **Ranking Analysis**: Utilize the ranking models provided by 'aws-resource-validator-kendra-ranking' to analyze the effectiveness of existing Kendra indices. Provide insights into how various configurations impact search outcomes.
5. **Custom Criteria**: Enable users to define custom ranking criteria and apply these to Kendra indices for tailored analysis. Users should be able to specify factors such as document relevance, freshness, or other metadata.
6. **Reporting**: Generate comprehensive reports summarizing index validation statuses and ranking analyses. Reports should be exportable in formats like CSV or JSON.
7. **Interactive Mode**: Offer an interactive mode where users can query specific Kendra indices and receive real-time feedback on their ranking and validation status.
8. **Help and Documentation**: Provide detailed usage instructions and examples within the CLI, accessible via '--help' flag. Include a README.md file in the project repository explaining setup and usage.

How 'aws-resource-validator-kendra-ranking' is Utilized:
- Use the pydantic models provided by the package to validate Kendra indices against best practices and organizational standards.
- Apply the ranking models to simulate search scenarios and evaluate how different configurations affect search results.
- Leverage the package's capabilities to enforce consistency across multiple Kendra indices and improve overall search experience.

💬 Discussion Feed

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