aws-resource-validator-bedrock-agent-runtime

v2.0.3 suspicious
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risk indicators but has incomplete author metadata, suggesting potential unreliability.

  • Incomplete author metadata
  • New or inactive author
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.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is incomplete and the author may be new or inactive, which could indicate potential risk.

📦 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 (342 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-bedrock-agent-runtime 
Develop a Python-based CLI tool named 'BedrockResourceChecker' that leverages the 'aws-resource-validator-bedrock-agent-runtime' package to validate resources against AWS Bedrock Agent Runtime specifications. This tool will enable users to ensure their AWS resources meet specific criteria before deployment, thus enhancing security and compliance. Here’s a detailed breakdown of the steps and features:

1. **Setup**: Install necessary dependencies including 'aws-resource-validator-bedrock-agent-runtime'. Use pip for installation.
2. **Configuration**: Allow users to configure AWS credentials either through environment variables or a configuration file. Support for multiple profiles would be a plus.
3. **Resource Validation**: Implement a function that takes in a resource description (JSON/YAML) and validates it against the models provided by 'aws-resource-validator-bedrock-agent-runtime'. Ensure the validation process checks for all required fields, data types, and constraints defined in the models.
4. **Report Generation**: Upon validation, generate a detailed report indicating whether the resource passes or fails the validation, along with reasons for any failures.
5. **Interactive Mode**: Provide an interactive mode where users can input resource details manually, and receive real-time feedback on the validity of each field.
6. **Batch Processing**: Extend the tool to support batch processing of multiple resources from a directory or a single file containing multiple resource descriptions.
7. **Custom Rules**: Allow users to define custom validation rules based on their specific requirements, which can be combined with default rules provided by 'aws-resource-validator-bedrock-agent-runtime'.
8. **Integration Testing**: Include integration tests that use predefined resource descriptions to verify the correctness of the validation logic.
9. **Documentation**: Write comprehensive documentation explaining how to install, configure, and use the tool, as well as examples of common use cases.
10. **CLI Enhancements**: Make the command-line interface user-friendly with options for verbosity, output format (text, JSON), and error handling.

This project aims to streamline the process of validating AWS resources, ensuring they adhere to strict standards before being deployed, thereby reducing potential issues post-deployment.

💬 Discussion Feed

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