AI Analysis
The package shows minimal risks with no network calls, shell executions, or obfuscations detected. The metadata risk slightly increases due to the maintainer's single package history.
- No network calls detected
- Maintainer has only one package
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external API interactions.
- Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting no immediate threat to secrets or credentials.
- Metadata: The maintainer has only one package, which might indicate a new or less active account, but no other red flags are present.
Package Quality Overall: Low (3.4/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (3243 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
Active multi-contributor project
3 unique contributor(s) across 73 commits in mib1185/aioimmichSmall but multi-author team (3β4 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
No author email provided
All external links appear legitimate
Repository mib1185/aioimmich appears legitimate
1 maintainer concern(s) found
Author "mib1185" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Your task is to create a fully-functional mini-application called 'ImmichGallery' using the Python package 'aioimmich'. This application will serve as a personal photo gallery manager that interacts with the Immich cloud service to fetch and manage user albums and assets asynchronously. Hereβs a step-by-step guide on what your application should accomplish: 1. **Setup**: Initialize a new Python environment and install the required packages including 'aioimmich'. Also, set up a configuration file to store API keys and other credentials securely. 2. **Authentication**: Implement a secure login mechanism where users can authenticate themselves with their Immich account credentials. Store these credentials securely and use them to fetch data from the Immich API. 3. **Album Fetching**: Use 'aioimmich' to asynchronously fetch all albums from the user's Immich account. Display these albums in a user-friendly manner within the application. 4. **Asset Management**: Allow users to view photos and videos from selected albums. Implement functionalities to download, delete, or share assets from these albums. 5. **Search Functionality**: Add a search feature that allows users to find specific assets based on tags, descriptions, or filenames. 6. **User Interface**: Develop a simple yet effective command-line interface (CLI) for interacting with the application. Consider adding additional features like pagination for large datasets and progress indicators for long-running operations. 7. **Error Handling**: Ensure robust error handling is implemented throughout the application to gracefully handle issues such as network failures or invalid credentials. 8. **Testing**: Write unit tests to verify the functionality of each component of the application. 9. **Documentation**: Provide clear documentation on how to install, configure, and use the application. Include examples of common use cases. Throughout the development process, make sure to leverage 'aioimmich' effectively by utilizing its asynchronous capabilities to enhance performance and responsiveness of the application.