AI Analysis
The package shows minimal risk indicators with no network calls, shell executions, or credential mishandling. The metadata risk slightly increases due to the author's single package history, but there are no other red flags.
- Low network, shell, and obfuscation risks
- No credential handling issues
- Single package history from the author
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communication.
- Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
- Metadata: The author has only one package, suggesting a new or less active account which could be suspicious, but no other red flags are present.
Package Quality Overall: Medium (5.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://docs.airbyte.com/integrations/sources/genesysBrief PyPI description (456 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
6 type-annotated function signatures (partial)
Active multi-contributor project
14 unique contributor(s) across 100 commits in airbytehq/airbyteActive community — 5 or more distinct contributors
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: airbyte.io
All external links appear legitimate
Repository airbytehq/airbyte appears legitimate
1 maintainer concern(s) found
Author "Airbyte" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a real-time data streaming application using the 'airbyte-source-genesys' Python package. This application will serve as a bridge between Genesys CRM and any destination of your choice (such as a database or cloud storage). Your task is to develop a user-friendly interface where users can configure their Genesys CRM credentials and select which data streams they want to extract (e.g., customer interactions, call logs, agent performance metrics). The application should then continuously fetch the selected data from Genesys and stream it to the specified destination in real-time or at scheduled intervals. Additionally, include features such as error handling, logging, and a simple dashboard to visualize key metrics derived from the streamed data. Utilize the 'airbyte-source-genesys' package to handle the extraction process from Genesys. The final product should be deployable as a standalone application or microservice.