AI Analysis
The package is deemed safe based on the analysis. It shows no signs of malicious activities such as shell execution or credential theft. However, the metadata risk score suggests potential low quality or inactivity.
- Low shell risk
- No obfuscation detected
- No credential risk detected
- Metadata risk indicating potential low quality
Per-check LLM notes
- Network: The use of httpx.AsyncClient suggests the package may make network requests, which could be legitimate for functionality like fetching updates or communicating with a server.
- Shell: No shell execution patterns were detected, indicating low risk of direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting the package does not pose a risk for stealing secrets or credentials.
- Metadata: Low activity and lack of detail suggest potential low quality or inactivity, but not necessarily malicious intent.
Package Quality Overall: Low (4.4/10)
Test suite present — 22 test file(s) found
Test runner config found: conftest.pyTest runner config found: pyproject.toml22 test file(s) detected (e.g. conftest.py)
Some documentation present
Detailed PyPI description (2763 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
264 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
Found 1 network call pattern(s)
one: self._http = httpx.AsyncClient() return self._http """Private secrets storage for
No obfuscation patterns detected
No shell execution patterns detected
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
2 maintainer concern(s) found
Author "Changyong Um" 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 fully functional mini-app called 'MultiGardenChat' using the Python package 'anygarden-agent'. This app will serve as a platform where users can interact with multiple AI agents in a conversational manner, each representing different personalities or roles such as a bot that gives gardening advice, one that discusses weather patterns, and another that shares gardening tips from around the world. The app should allow users to switch between these agents seamlessly and provide a user-friendly interface for initiating conversations. Steps to Develop: 1. Set up your development environment with Python and install the 'anygarden-agent' package. 2. Design the user interface (UI) of the app, focusing on simplicity and ease of use. Consider using a popular UI framework like Tkinter or PyQt for desktop applications. 3. Implement the core functionality to connect to the 'anygarden-agent' service and fetch responses from different agents based on user input. 4. Integrate features allowing users to select which agent they want to converse with and display their responses in real-time. 5. Add error handling mechanisms to manage issues like network failures or invalid inputs gracefully. 6. Optionally, implement additional features such as saving conversation history, allowing users to rate the quality of responses, or even integrating voice-to-text capabilities for hands-free chatting. Suggested Features: - A dropdown menu or buttons to select different agents. - Real-time chat display area showing both user inputs and agent responses. - A sidebar or panel displaying brief descriptions of each available agent. - Option to save and load past conversations. - Rating system for user feedback on the quality of responses. - Voice input/output support for a more interactive experience. How 'anygarden-agent' is Utilized: - Use the 'anygarden-agent' package to authenticate and establish connections with the Anygarden multi-agent chat service. - Leverage its methods to send messages to specific agents and receive their responses. - Utilize its event handling capabilities to update the UI in real-time as new messages are received. - Explore advanced functionalities provided by the package, such as managing sessions, customizing agent behaviors, or accessing historical data.
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