aws-resource-validator-swf

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across all categories with only metadata indicating some uncertainty regarding the maintainer's identity.

  • No network or shell execution detected.
  • Incomplete author information.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access to function.
  • Shell: No shell execution patterns detected, indicating no unexpected system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author information is incomplete, which may indicate a lack of transparency or a new maintainer.

📦 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 (288 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-swf 
Your task is to develop a small, yet powerful command-line tool using Python that leverages the 'aws-resource-validator-swf' package to validate and manage AWS Simple Workflow Service (SWF) resources. This tool will not only help developers ensure their SWF configurations are correct but also provide insights into resource usage and potential improvements.

Step-by-Step Guide:
1. Install the necessary packages including 'aws-resource-validator-swf'.
2. Define a main function that accepts input from the user about the SWF domain, workflow types, activity types, etc., using the Pydantic models provided by the 'aws-resource-validator-swf' package.
3. Implement validation logic to check if the provided inputs adhere to the AWS SWF specifications using the package's models.
4. If the inputs are valid, the tool should output a summary of the SWF configuration including any warnings or recommendations for improvement.
5. Add error handling to gracefully manage invalid inputs or unexpected issues.
6. Consider adding additional features such as saving validated configurations to a file, loading configurations from a file, or even integrating with AWS CLI commands for deployment.
7. Ensure your code is well-documented and includes comments explaining how each part of the tool works, especially where the 'aws-resource-validator-swf' package is utilized.
8. Finally, create a README.md file that explains how to install and use your tool, along with examples of its functionality.

Suggested Features:
- Interactive mode allowing users to input details one at a time.
- Batch mode for validating multiple configurations at once.
- Integration with AWS SDK for Python (boto3) to fetch current SWF configurations for comparison.
- Support for exporting validated configurations to JSON or YAML files.
- Detailed logging of validation steps and outcomes.

Remember, the goal is to create a robust, user-friendly tool that showcases the capabilities of the 'aws-resource-validator-swf' package while providing real value to AWS SWF developers.

💬 Discussion Feed

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