arthur-common

v2.4.64 suspicious
4.0
Medium Risk

Utility code common to Arthur platform components.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risk in terms of network calls, shell execution, and obfuscation. However, the metadata quality is poor and there is low maintainer activity, which raises some suspicion.

  • Low maintainer activity
  • Poor metadata quality
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands, which is typical for most utility libraries.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
  • Metadata: The package shows signs of low maintainer activity and poor metadata quality, but lacks clear indicators of malicious intent.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 21 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 21 test file(s) detected (e.g. inference_generator.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1068 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 142 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 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: arthur.ai>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with arthur-common 
Your task is to develop a simple yet functional utility application called 'Arthur Monitor' using Python and the 'arthur-common' package. This tool will serve as a monitoring system for various services and components within the Arthur platform. It will periodically check the status of these services, log any issues encountered, and notify users via email or SMS when critical errors occur.

Here are the core functionalities you need to implement:
1. **Service Status Check**: Integrate with the 'arthur-common' package to retrieve a list of services/components that need to be monitored. For each service, your application should send a request to check its current status (e.g., running, down).
2. **Error Logging**: If a service is not functioning correctly, the application should log the error details using the logging utilities provided by 'arthur-common'. This includes the time of the failure, the service affected, and any relevant error messages.
3. **Notification System**: Implement a notification system that sends alerts to designated contacts whenever a critical issue is detected. Use the 'arthur-common' package's communication tools to facilitate sending emails or SMS messages based on the severity of the issue.
4. **Configuration Management**: Allow users to configure which services to monitor and how they want to be notified through a configuration file or command-line interface. Utilize 'arthur-common' to manage and validate this configuration data efficiently.
5. **User Interface**: Develop a basic web interface using Flask or Django, which allows administrators to view real-time status updates, historical logs, and manage notifications settings. Ensure that this UI leverages the 'arthur-common' package for secure authentication and authorization.

To achieve these objectives, make sure to explore and utilize key features from the 'arthur-common' package such as logging mechanisms, configuration management, and communication protocols. Your goal is to create a robust, scalable solution that integrates seamlessly with existing Arthur platform components.

💬 Discussion Feed

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