AI Analysis
The package is designed for asynchronous interaction with the Pixiv API and has low risks associated with network, shell execution, obfuscation, and credential handling. However, the metadata is slightly concerning due to missing maintainer information and a potentially insecure external link.
- Low risk in network, shell execution, obfuscation, and credential handling.
- Metadata contains missing maintainer information and a potentially insecure external link.
Per-check LLM notes
- Network: Expected to make network calls to Pixiv API endpoints for fetching data.
- Shell: No shell execution is expected from a library interacting with an API.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: Suspicious due to missing maintainer information and a non-secure external link.
Package Quality Overall: Low (4.8/10)
Test suite present — 1 test file(s) found
Test runner config found: pyproject.toml1 test file(s) detected (e.g. test_app.py)
Some documentation present
Detailed PyPI description (9676 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Classifier: Typing :: Typed49 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 404
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: gmail.com>
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://127.0.0.1:7890
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
Create a fully-functional mini-application called 'PixivDaily' using the 'async-pixiv-api' Python package. This app will serve as a daily digest of popular artwork from Pixiv, a Japanese online community for artists and art enthusiasts. Your task is to design and implement a command-line tool that fetches and displays the top 10 artworks from the latest day's ranking. The application should be able to authenticate a user account (using OAuth2) to access more detailed information such as comments and favorites. Here are the steps and features you need to implement: 1. **Setup Authentication**: Integrate OAuth2 authentication flow to allow users to log in and gain access to their personal data. 2. **Fetch Daily Rankings**: Implement functionality to fetch the top 10 artworks from the latest day's ranking. 3. **Display Artwork Information**: Show basic details about each artwork, including title, author, number of views, and image URL. 4. **User Interaction**: Allow users to interact with the fetched artworks, such as viewing full-size images, adding them to favorites, and leaving comments. 5. **Command-Line Interface**: Develop a simple yet intuitive CLI for navigating through the fetched data and performing actions like logging in, fetching rankings, and interacting with artworks. 6. **Error Handling**: Ensure robust error handling to manage issues such as network errors, invalid inputs, and unauthorized access attempts. 7. **Optional Features**: Consider implementing optional features such as saving favorite artworks locally, searching for specific artists, or displaying trending tags. Your implementation should utilize the 'async-pixiv-api' package effectively, leveraging its asynchronous capabilities to ensure smooth and efficient operation of the application. Remember to document your code well and provide clear instructions on how to set up and run the application.
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