AI Analysis
The package has low risks in terms of network calls, shell execution, obfuscation, and credential harvesting. However, the presence of suspicious non-HTTPS links and a lack of maintainer information raise concerns about potential supply-chain risks.
- Suspicious non-HTTPS links
- Lack of maintainer information
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network interaction for its functionality.
- Shell: No shell executions detected, indicating there's no immediate risk of unauthorized system access.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: Suspicious non-HTTPS links and lack of maintainer information suggest potential risk.
Package Quality Overall: Medium (5.6/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Detailed PyPI description (13565 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Classifier: Typing :: Typed513 type-annotated function signatures detected in source
Active multi-contributor project
3 unique contributor(s) across 82 commits in AlphaxivCat/alphaxiv_cat-pythonSmall but multi-author team (3–4 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
Email domain looks legitimate: 163.com>
Found 2 suspicious link(s) on the package page
Non-HTTPS external link: http://my.test.server.example.com:8083Non-HTTPS external link: http://my.test.proxy.example.com
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
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
Create a mini-application called 'AlphaXiv Explorer' that allows users to explore and discover preprints from various scientific disciplines using the alphaxiv_cat Python package. This application should have a user-friendly interface and provide functionalities such as searching for papers by keywords, filtering results by date, author, and subject area, and displaying detailed information about each paper including abstracts, authors, publication dates, and links to full texts. Step-by-step guide: 1. Set up your development environment with Python installed and install the alphaxiv_cat package. 2. Design a simple command-line interface or a graphical user interface (GUI) for interacting with the application. 3. Implement a search functionality that takes user input (keywords) and uses the alphaxiv_cat package to query the API for matching preprints. 4. Add filters to narrow down search results based on criteria like publication date range, authors, and subject areas. 5. Display detailed information about selected papers, including abstracts, authors, publication dates, and direct links to read the full text of the preprint. 6. Optionally, implement a feature to save favorite papers or create a reading list. 7. Ensure error handling is in place to manage cases where no results are found or the alphaxiv_cat API returns errors. 8. Test the application thoroughly to ensure all features work as expected. 9. Document the setup process and usage instructions clearly. Suggested Features: - Integrate autocomplete functionality for keyword searches. - Allow users to sort search results by relevance, date, or number of citations. - Implement a bookmarking system to allow users to save their favorite papers. - Provide a feature to share discovered papers via social media or email. - Include a citation generator for easy referencing of discovered papers. How to Utilize alphaxiv_cat Package: - Use alphaxiv_cat.search(query) to perform searches based on keywords. - Use alphaxiv_cat.filter(results, filter_by) to apply additional filters to search results. - Use alphaxiv_cat.get_paper_info(paper_id) to retrieve detailed information about a specific paper.
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