AI Analysis
Final verdict: SUSPICIOUS
The package shows low risks in terms of network usage, shell execution, obfuscation, and credential handling. However, the metadata quality and maintainer activity level are concerning, suggesting potential issues.
- Low maintainer activity
- Poor metadata quality
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network functionality.
- Shell: No shell execution detected, indicating no immediate risk from command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
- Metadata: The package shows signs of low maintainer activity and poor metadata quality, raising suspicion but not definitive proof of malice.
Package Quality Overall: Low (2.0/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
○ Low
Documentation
1.0
No documentation detected
No documentation URL, doc files, or meaningful description found
○ 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
19 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
No author email provided
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 shortAuthor "" 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 automas-script-maa
Create a fully functional mini-application named 'MAA Helper' using the Python package 'automas-script-maa'. This app will serve as a versatile tool for managing tasks and configurations related to MAA (Modular Application Architecture), making it easier for users to automate their workflows and manage their applications more efficiently. ### Features: 1. **Task Automation**: Allow users to define custom tasks within MAA projects. These tasks could include common operations such as starting/stopping services, updating configurations, and deploying new versions of applications. 2. **Configuration Management**: Enable users to manage configuration files directly from the application interface. Users should be able to view, edit, and save changes to these files without needing to manually edit them. 3. **Status Monitoring**: Implement a feature that monitors the status of MAA services and applications. This includes checking if services are running, their current state (e.g., healthy, unhealthy), and any recent logs or errors. 4. **User Interface**: Develop a simple yet intuitive user interface that allows users to interact with all the features mentioned above. The UI should be responsive and easy to navigate. 5. **Logging & Reporting**: Integrate logging functionality that records all actions performed through the application, including task executions and configuration changes. Provide reporting capabilities that summarize these activities over time. ### How to Utilize 'automas-script-maa': - Use the package's core functionalities to handle the automation of tasks within MAA projects. For example, use its scripting capabilities to write scripts that start/stop services, update configurations, etc. - Leverage the package's support for managing configurations to allow users to edit and save configuration files directly through the application. - Monitor the status of MAA components by integrating with the package's monitoring APIs or similar interfaces provided by 'automas-script-maa'. - Ensure that all interactions with MAA are logged and that these logs are accessible through the application's reporting feature. Your task is to design and implement this application, ensuring it is user-friendly and leverages the full potential of 'automas-script-maa'. Consider the scalability and maintainability of your code as you develop the solution.
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