AI Analysis
The package exhibits suspicious behavior due to detected shell execution patterns and low maintainer activity, indicating potential risks.
- Detected shell execution patterns
- Low maintainer activity
Per-check LLM notes
- Network: No network calls detected, which is neutral.
- Shell: Detected shell execution patterns suggest the package may be performing actions like installing dependencies or cloning repositories, which could be legitimate but also indicates potential risks if not properly controlled.
- Metadata: The package shows low maintainer activity and lacks standard metadata, suggesting potential low quality or malicious intent.
Package Quality Overall: Low (4.4/10)
Test suite present — 11 test file(s) found
Test runner config found: pyproject.toml11 test file(s) detected (e.g. test_auth_store.py)
Some documentation present
Detailed PyPI description (8101 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
57 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
Found 2 shell execution pattern(s)
try: subprocess.run( ["git", "clone", "--depth", "1", url, stry: subprocess.run( [npm_cmd, "install"],
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a social media automation tool named 'SocialSync' using the 'all-in-one-aione' Python package. This tool aims to simplify the process of managing posts across multiple platforms including XHS, Weibo, and DouYin. The application will allow users to schedule posts, monitor post performance, and automate interactions such as liking and commenting on posts based on specific criteria. **Features:** 1. **Post Scheduling:** Users should be able to write a post and specify which platform(s) they want it to be published on, along with a scheduled time for posting. 2. **Performance Monitoring:** After a post has been published, the application should track key metrics such as likes, comments, and shares for each post on each platform. 3. **Automated Interactions:** Users can set up rules for automated interactions like liking and commenting on posts from other users based on keywords or hashtags. 4. **User Interface:** Develop a simple and intuitive UI where users can interact with the application easily. This could be a web-based interface or a desktop application. 5. **Integration with 'all-in-one-aione':** Use the 'all-in-one-aione' package to handle authentication, API calls, and data retrieval for XHS, Weibo, and DouYin. Ensure that the package is utilized efficiently to streamline the development process. 6. **Data Visualization:** Implement basic charts or graphs to visualize the performance of posts over time. 7. **Security Measures:** Ensure that user credentials and API keys are stored securely and not exposed in any way. The goal is to create a versatile tool that helps individuals and small businesses manage their social media presence more effectively while leveraging the capabilities provided by the 'all-in-one-aione' package.
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