AI Analysis
The package shows minimal risk indicators with no network calls or shell executions detected. The low metadata score suggests it might be under-maintained but does not indicate malicious intent.
- No network calls detected
- No shell execution patterns
- Low package activity and metadata quality
Per-check LLM notes
- Network: No network calls detected, which is not unusual if the package does not require external API interactions.
- Shell: No shell execution patterns detected, reducing the risk of local system compromise.
- Metadata: The package shows low activity and lacks standard metadata, suggesting potential low effort or maintenance.
Package Quality Overall: Low (3.6/10)
Test suite present — 9 test file(s) found
9 test file(s) detected (e.g. test_default_api.py)
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
43 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: openapitools.org
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
2 maintainer concern(s) found
Author "OpenAPI Generator community" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based mini-application named 'SheetSync' that leverages the 'aind-smartsheet-service-client' package to synchronize data between Smartsheet and a local database. SheetSync should have the following functionalities: 1. **User Authentication**: Implement user authentication to securely connect to Smartsheet using OAuth2.0. Use the 'aind-smartsheet-service-client' to manage access tokens and refresh them as necessary. 2. **Data Synchronization**: Design a system where data from specific Smartsheet sheets are periodically synced to a SQLite database. Utilize 'aind-smartsheet-service-client' to fetch sheet data efficiently. 3. **Custom Filters**: Allow users to specify which columns from Smartsheet they want to sync. This feature should be implemented using configuration files or command-line arguments. 4. **Conflict Resolution**: Implement conflict resolution strategies such as last-write-wins or manual intervention via email notifications when there are discrepancies between Smartsheet and the local database. 5. **Real-Time Updates**: Incorporate real-time updates by setting up webhooks in Smartsheet through 'aind-smartsheet-service-client'. Ensure that any changes made in Smartsheet are reflected in the local database within seconds. 6. **Data Visualization**: Integrate basic data visualization capabilities into your application. Use libraries like Matplotlib or Plotly to generate charts based on the synchronized data. 7. **Documentation and Testing**: Write comprehensive documentation for your application including setup instructions and usage examples. Also, ensure you have unit tests covering all major functionalities. The 'aind-smartsheet-service-client' package will be utilized extensively for its robust API methods to interact with Smartsheet, manage authentication, and handle data fetching and updating tasks. Your task is to design and implement these features, ensuring the application is user-friendly, efficient, and secure.
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