AI Analysis
The package is deemed safe with minor concerns. While it has a medium metadata risk score due to missing repository and author details, and a moderate network risk, there are no indications of malicious activities such as shell execution, obfuscation, or credential harvesting.
- Medium metadata risk due to missing repository and author details
- Moderate network risk due to external HTTP API interactions
Per-check LLM notes
- Network: The network calls suggest the package may download files from external URLs, which could be legitimate but also raises concerns about potential data exfiltration or downloading malicious content.
- 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 some red flags due to the missing repository and author details, but there's no clear evidence of typosquatting or malicious intent.
Package Quality Overall: Low (4.6/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Documentation URL: "Documentation" -> https://github.com/Athena-Intel/demo-app-monorepo/tree/stagiDetailed PyPI description (7180 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Classifier: Typing :: Typed258 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
Found 4 network call pattern(s)
mp_path = _Path(tmp.name) urllib.request.urlretrieve(url, tmp_path) # noqa: S310 β caller-controlledencode("utf-8") req = urllib.request.Request( url, data=raw,ion/json"}, ) urllib.request.urlopen(req, timeout=_HTTP_TIMEOUT).close() except (urlluration.""" session = requests.Session() retry_strategy = Retry( total=3,
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: athenaintelligence.ai>
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
2 maintainer concern(s) found
Author 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
Develop a collaborative spreadsheet editor mini-application using the Python package 'athena-openpyxl'. This application should allow multiple users to edit the same Excel file simultaneously in real-time. Hereβs a step-by-step guide on what your application should achieve: 1. **Setup**: Initialize a Flask web server to host your application. Ensure you have the necessary dependencies installed, including 'athena-openpyxl' and 'Flask'. Use 'athena-openpyxl' as a drop-in replacement for 'openpyxl' to enable real-time collaboration. 2. **User Authentication**: Implement basic user authentication so that only registered users can access and edit spreadsheets. Users should be able to create accounts and log in securely. 3. **Spreadsheet Creation**: Allow users to create new spreadsheets directly from the application. Each spreadsheet should be stored in a secure location, accessible via the 'athena-openpyxl' API. 4. **Real-Time Collaboration**: Utilize 'athena-openpyxl' to enable real-time editing of cells by multiple users. Users should see changes made by others instantly without needing to refresh the page. 5. **Data Persistence**: Ensure that any changes made to the spreadsheet are saved automatically and persistently. Use 'athena-openpyxl' to manage data storage and retrieval efficiently. 6. **Spreadsheet Sharing**: Provide functionality for users to share their spreadsheets with other users. Include options for setting permissions such as read-only or full-edit access. 7. **Version Control**: Implement a version control system where users can revert to previous versions of the spreadsheet if needed. Highlight the use of 'athena-openpyxl' for managing different versions of the document. 8. **User Interface**: Design a clean and intuitive user interface for interacting with the spreadsheets. The UI should reflect real-time updates and provide easy navigation between sheets and cells. 9. **Testing and Documentation**: Write comprehensive tests to ensure all functionalities work as expected. Also, create detailed documentation explaining how to set up and use the application, with special focus on 'athena-openpyxl' integration.
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