AI Analysis
The package is deemed safe with minimal risks identified. While it has a moderate metadata risk due to low maintenance efforts, there are no clear signs of malicious activity or supply-chain attacks.
- Low risk scores across all categories except metadata.
- No evidence of shell execution, obfuscation, or credential harvesting.
Per-check LLM notes
- Network: The package makes network calls to register OAuth clients, which is typical for SDKs handling authentication.
- Shell: No shell execution patterns were detected.
- 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 engage in unauthorized secret harvesting.
- Metadata: The package shows low maintenance and effort signs, but lacks clear malicious indicators.
Package Quality Overall: Low (3.8/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Detailed PyPI description (4026 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
134 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 5 network call pattern(s)
"utf-8" ) req = urllib.request.Request( f"{base_url.rstrip('/')}/oauth/register",, ) try: with urllib.request.urlopen(req, timeout=15) as resp: if resp.status).encode("utf-8") req = urllib.request.Request( f"{base_url.rstrip('/')}/oauth/register",. Args: http: 共有 httpx.AsyncClient (caller 管理、 base_url 設定済前提) client_id: OAuth public cone: self._http = httpx.AsyncClient(timeout=30.0) return self async def __aexit__(s
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
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
Your task is to create a real-time chat application using the AgenTrux platform through its Python SDK, 'agentrux-sdk'. This application will serve as a basic but fully functional chat system where users can sign in, join channels, send messages, and receive messages from other users in real time. The app should leverage the pub/sub model provided by AgenTrux to facilitate efficient communication between clients. Here are the key features your application should include: 1. User Authentication: Users must be able to sign in securely. Upon successful authentication, they should receive an access token that allows them to interact with the AgenTrux service. 2. Channel Management: Users should be able to create, join, and leave chat channels dynamically. Channels can be public or private. 3. Real-Time Messaging: Implement real-time messaging capabilities using AgenTrux's pub/sub model. When a user sends a message, it should be broadcasted to all connected users in the same channel instantly. 4. User Interface: Develop a simple yet intuitive UI using web technologies such as HTML, CSS, and JavaScript for the frontend. Ensure that the UI updates in real time as new messages arrive. 5. Security Measures: Implement basic security measures like input validation and proper handling of tokens to prevent common vulnerabilities. 6. Error Handling: Gracefully handle errors and display meaningful error messages to the user. To utilize the 'agentrux-sdk' package effectively, you'll need to perform the following steps within your application: - Initialize the AgenTrux client with appropriate credentials. - Use the client to authenticate users and manage their sessions. - Subscribe to relevant topics/channels to receive messages in real time. - Publish messages to specific channels when a user sends a message. - Handle various events like connection status changes, message receipt, etc., to ensure smooth operation. This project aims to demonstrate your ability to integrate third-party services into a web application while providing a practical and useful tool for real-time communication.