aws-resource-validator-omics

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package presents minimal risks based on the analysis, with no indications of network calls, shell executions, or obfuscation. However, the metadata suggests an author who may be new or inactive, slightly increasing the risk score.

  • No network calls detected
  • Incomplete author information
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 the package likely does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting legitimate use without risk of secret theft.
  • Metadata: The author's information is incomplete and they appear to be a new or inactive user, which raises some concerns 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 (294 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-omics 
Create a Python-based CLI tool named 'OmicsValidator' that leverages the 'aws-resource-validator-omics' package to validate AWS Omics resources according to Pydantic v2 models. This tool will serve as a robust validator for developers and system administrators working with AWS Omics services. Here are the steps and features to include:

1. **Setup**: Begin by installing the necessary packages including 'aws-resource-validator-omics'. Ensure your environment supports Python 3.8+.
2. **CLI Interface**: Develop a user-friendly command-line interface where users can specify which AWS Omics resource they want to validate. Supported resources should include, but not be limited to, sequence stores, reference stores, read set stores, variant stores, and annotation stores.
3. **Validation Process**: Utilize the Pydantic v2 models provided by 'aws-resource-validator-omics' to validate the input data against predefined schemas. This process should ensure that all required fields are present, types are correct, and any specific constraints (such as size limits or format requirements) are met.
4. **Output Feedback**: Provide clear and concise feedback to the user indicating whether the validation was successful or if there were any issues. Include error messages that point out the exact problems found during validation.
5. **Configuration Options**: Allow users to customize the validation process through configuration options such as specifying different regions or profiles within their AWS credentials.
6. **Integration Testing**: Implement integration tests using sample AWS Omics resources to verify the functionality of your CLI tool. Use pytest for testing.
7. **Documentation**: Write comprehensive documentation that explains how to install and use 'OmicsValidator', including examples of common validation scenarios.

This project aims to streamline the validation process for AWS Omics resources, making it easier for teams to adhere to best practices and ensure the integrity of their data.

💬 Discussion Feed

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