AI Analysis
The package has minimal risk indicators, with no network calls, shell executions, or obfuscation detected. The metadata risk is slightly elevated due to lower maintainer activity and poor metadata quality, but there is no evidence of malicious intent.
- Low risk of network and shell exploitation
- No signs of code obfuscation or credential harvesting
- Metadata quality concerns but no malicious activity detected
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution patterns detected, indicating no direct system command execution by the package.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of low maintainer activity and poor metadata quality, but there's no direct evidence of malicious intent.
Package Quality Overall: Low (2.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (6039 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
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: airbyte.io>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
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)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application named 'DataMigrator' that leverages the 'airbyte-agent-sdk' Python package to facilitate data migration between different cloud storage services. This application will allow users to select source and destination storage services from a list of supported third-party APIs, such as Google Drive, Dropbox, AWS S3, etc., and initiate the transfer of files or directories between them. The application should include the following core functionalities: 1. User Authentication: Allow users to authenticate with their accounts on both the source and destination services. 2. Source Selection: Provide a user-friendly interface to choose the source service from which data will be migrated. 3. Destination Selection: Similarly, provide options to select the destination service where the data will be transferred. 4. Data Transfer: Implement functionality to transfer files or directories from the selected source to the destination, ensuring that the file structure is maintained. 5. Progress Tracking: Display the progress of the data transfer, including details like the number of files processed, total size transferred, and estimated time remaining. 6. Error Handling: Gracefully handle errors during the data transfer process and notify the user appropriately. 7. Logging: Maintain logs of each data migration task for future reference and troubleshooting. To achieve these functionalities, utilize the 'airbyte-agent-sdk' package to interact with the third-party APIs. Specifically, use the SDK's typed connectors to establish secure connections with the chosen services, retrieve metadata about the files and directories, and perform the actual data transfer operations. Ensure that your application adheres to best practices for security and privacy, especially concerning user credentials and data.
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