AI Analysis
The package annofabcli v1.119.0 is considered safe based on the analysis. It shows no signs of malicious activity and has low risks across all categories.
- No network calls detected
- No shell execution patterns
- No obfuscation patterns
- No credential harvesting patterns
- Low metadata risk
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 the package likely does not execute external commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, suggesting a new or less active account.
Package Quality Overall: Low (4.6/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (3662 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
555 type-annotated function signatures detected in source
Active multi-contributor project
3 unique contributor(s) across 100 commits in kurusugawa-computer/annofab-cliSmall 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 kurusugawa-computer/annofab-cli appears legitimate
1 maintainer concern(s) found
Author "Kurusugawa Computer Inc." 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 develop a fully functional mini-application using the 'annofabcli' Python package. This application will serve as a user-friendly interface to manage projects and tasks within AnnoFab, streamlining the process of job submission, monitoring, and completion tracking. Hereβs a detailed breakdown of the project requirements and functionalities: 1. **Setup and Installation**: Begin by setting up a virtual environment for your project. Install the necessary packages including 'annofabcli'. Ensure your application can authenticate users with AnnoFab API credentials. 2. **Job Submission Interface**: Create a command-line interface where users can submit new jobs to AnnoFab. The interface should allow specifying job details such as project ID, file paths, and other relevant parameters required by AnnoFab. 3. **Job Monitoring Feature**: Implement a feature that allows users to monitor the status of their submitted jobs in real-time. This feature should periodically fetch updates from AnnoFab and display them in a user-friendly format. 4. **Completion Tracking**: Develop a functionality that tracks when jobs are completed and logs these completions into a local database or file. Users should be able to query this log to see the history of completed jobs. 5. **Error Handling and Logging**: Ensure robust error handling and logging mechanisms are in place. Any errors encountered during job submission or monitoring should be logged and displayed to the user. 6. **Documentation and Testing**: Provide comprehensive documentation on how to use your application, including setup instructions, usage examples, and troubleshooting tips. Additionally, write unit tests for your application to ensure its reliability. Utilize the 'annofabcli' package throughout your application to interact with AnnoFab's API. Your final deliverable should include the source code, installation guide, and any additional resources needed to run the application.
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