AI Analysis
The package is flagged due to its minimal metadata and single version release, suggesting potential unreliability or lack of maintenance. However, no direct malicious activities have been identified.
- Missing repository link
- Single version released
- Low author activity
Per-check LLM notes
- Network: The presence of network calls could be legitimate if the package interacts with an API or service.
- Shell: No shell execution patterns were detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows several red flags including a missing repository, single version release, and an author with minimal activity, indicating potential risk.
Package Quality Overall: Low (4.8/10)
Test suite present — 12 test file(s) found
Test runner config found: conftest.pyTest runner config found: pyproject.toml12 test file(s) detected (e.g. conftest.py)
Some documentation present
Brief PyPI description (781 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
332 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
Found 1 network call pattern(s)
oken}" self._client = httpx.AsyncClient( base_url=self._base, headers=header
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: arksigma.com>
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" 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 terminal-based application using Python that allows users to manage their Argo Workflows through a user-friendly interface similar to k9s. This application will leverage the 'aw8s' package to provide real-time monitoring and management of workflows directly from the command line. The app should include the following functionalities: 1. **Workflow List**: Display a list of all active workflows with their current status (e.g., Running, Pending, Succeeded, Failed). 2. **Detailed Workflow View**: Allow users to select a workflow to view detailed information such as task breakdown, execution time, and logs. 3. **Action Menu**: Provide an action menu for each workflow where users can pause, resume, delete, or restart workflows. 4. **Search Functionality**: Implement a search bar to quickly locate specific workflows based on name, status, or creation date. 5. **Real-Time Updates**: Ensure the UI updates in real-time to reflect any changes in the workflow status without needing to refresh the screen manually. 6. **Customizable Interface**: Offer options to customize the appearance of the terminal UI, including themes and layout adjustments. 7. **Help Section**: Include a help section that provides quick access to documentation and common troubleshooting tips. To achieve these features, utilize the 'aw8s' package to interact with the Argo Workflows API, handle UI rendering, and manage user interactions. Your goal is to create a seamless and intuitive experience for managing workflows from the terminal, making it easier for developers and operators to monitor and control their Argo Workflows.
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