aws-resource-validator-connectcases

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package presents minimal risks with no network calls, shell executions, or obfuscations detected. The metadata risk is slightly elevated due to incomplete author information and a single maintained package, but this does not conclusively indicate malicious intent.

  • No network calls detected
  • No shell execution patterns
  • Incomplete author information
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • 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 maintainer has only one package, which may indicate a less experienced or potentially suspicious account.

📦 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 (315 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-connectcases 
Your task is to develop a command-line utility named 'ConnectCaseValidator' that leverages the 'aws-resource-validator-connectcases' package to validate and manage AWS Connect Cases resources efficiently. This tool will help users ensure their AWS Connect Cases configurations adhere to best practices and are correctly structured before deploying them into production environments.

The application should perform the following core functionalities:
1. **Resource Validation**: Users should be able to provide a JSON file containing AWS Connect Cases resource definitions. The utility will validate these resources against predefined Pydantic models provided by the 'aws-resource-validator-connectcases' package, ensuring they meet all necessary criteria for deployment.
2. **Error Reporting**: If any validation errors are found, the utility must report them clearly and concisely, indicating which fields or sections of the JSON configuration are problematic.
3. **Interactive Mode**: In addition to batch processing of JSON files, the tool should offer an interactive mode where users can input individual Connect Case resources directly through the command line. The utility will then validate each input in real-time, providing immediate feedback on correctness.
4. **Help and Documentation**: Comprehensive usage instructions and examples should be available via a '--help' option. Additionally, the utility should automatically generate a markdown document detailing common issues encountered during validation and how to resolve them.
5. **Custom Rules Support**: To cater to specific organizational requirements, the tool should allow users to define custom validation rules that extend beyond the default models provided by the package. These custom rules could include additional checks for compliance with internal policies or standards.

To achieve these goals, you will need to utilize the 'aws-resource-validator-connectcases' package extensively. Specifically, you'll use its Pydantic models to define the structure and constraints of valid AWS Connect Cases resources. By leveraging Pydantic's powerful validation capabilities, you can ensure that any user-provided configurations strictly adhere to AWS specifications and best practices. Moreover, the package's namespace extension feature allows seamless integration of additional custom validation logic, making your tool highly adaptable to various use cases.

💬 Discussion Feed

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