AI Analysis
The package exhibits several concerning elements including potentially unsafe network interactions and shell executions, which could indicate malicious intent. However, there is insufficient evidence to conclusively label it as malicious.
- Network risk due to the use of httpx.Client without clear documentation on the endpoints and data being transmitted.
- High shell risk as executing shell commands can pose significant security threats if not sanitized properly.
Per-check LLM notes
- Network: Network calls are common in SDKs to communicate with services; however, the presence of httpx.Client requires further investigation into endpoints and data being transmitted.
- Shell: Executing shell commands can be risky if not properly sanitized or intended for legitimate purposes like CLI interaction testing. This pattern needs verification of its necessity and safety.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating safe handling of secrets and credentials.
- Metadata: The package shows signs of low effort and potential lack of transparency, but there's no concrete evidence of 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_bot_provider.py)
Some documentation present
Detailed PyPI description (3918 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
33 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 2 network call pattern(s)
self._client = http_client or httpx.Client(timeout=timeout) def _build_url(self, endpoint: str) ->_key=KEY, http_client=httpx.Client(transport=transport), ) with c.stream(message) as s:
No obfuscation patterns detected
Found 1 shell execution pattern(s)
t found on PATH" result = subprocess.run([cli, "--help"], capture_output=True, text=True) assert
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
4 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor 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 fully-functional mini-application using the 'asgard-sdk' Python package, which serves as a bridge to interact with the Asgard Core API. Your task is to develop a tool named 'AsgardTaskManager', designed to streamline the management of tasks within the Asgard ecosystem. This tool will allow users to create, update, delete, and retrieve information about tasks efficiently. Here are the key functionalities your application should support: 1. **User Authentication**: Implement a secure login system where users can authenticate themselves using their Asgard credentials. 2. **Task Management**: Enable users to manage their tasks through CRUD operations - Create, Read, Update, and Delete tasks. 3. **Task Prioritization**: Allow users to prioritize tasks based on importance levels (High, Medium, Low). 4. **Task Filtering**: Provide functionality to filter tasks based on various criteria such as priority level, due date, or status. 5. **Integration with Notifications**: Integrate notifications for task updates and reminders using Asgard's notification service. 6. **Graphical User Interface (GUI)**: Develop a simple yet intuitive GUI using a library like Tkinter or PyQt to make the application user-friendly. **Utilizing the 'asgard-sdk' Package**: - Use the 'asgard-sdk' package to establish a connection with the Asgard Core API and perform all necessary operations related to task management. - For authentication, leverage the SDK's methods to handle user login securely and retrieve necessary tokens or session IDs. - When managing tasks, utilize the SDK's functions to send requests to the API for creating, updating, deleting, and retrieving tasks. - To implement prioritization and filtering, use the SDK's capabilities to apply filters and sort tasks according to specified parameters. - For integrating notifications, ensure the application sends appropriate requests to the Asgard API for triggering notifications based on task updates or reminders. This project aims to showcase the versatility and ease of use of the 'asgard-sdk' package while providing a practical solution for efficient task management within the Asgard environment.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue