AI Analysis
The package exhibits minimal risk based on the analysis, with no indications of malicious activities or supply-chain attacks.
- Low network risk
- No signs of shell execution
- No evidence of obfuscation
- Safe handling of credentials
Per-check LLM notes
- Network: The observed network calls are typical for packages that require internet access to function, such as fetching data from an API.
- Shell: No shell execution patterns were detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
- Metadata: The package shows some low-effort indicators but lacks clear red flags.
Package Quality Overall: Low (2.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (5041 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
325 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 6 network call pattern(s)
_delay self._client = httpx.Client( base_url=self._base_url, timeout=see: self._client = httpx.Client( base_url=self._base_url, cocontext manager for internal httpx.Client (see httpx docs)""" self.get_httpx_client().__exit__(self._async_client = httpx.AsyncClient( base_url=self._base_url, coontext manager for underlying httpx.AsyncClient (see httpx docs)""" await self.get_async_httpx_clienten self._client = httpx.Client( base_url=self._base_url, co
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
Create a remote device management application using the Axilio Python SDK. This application will allow users to manage workflows, monitor run statuses, control connected devices remotely, and track their usage. Here’s a step-by-step guide on what your application should include: 1. **User Authentication**: Implement user authentication to ensure secure access to the device management functionalities. Users should be able to log in and out. 2. **Device List Management**: Allow users to view, add, update, and delete devices in their network. Each device entry should include details like device ID, type, status, and last checked-in time. 3. **Workflow Management**: Enable users to create, edit, and delete workflows. Workflows should be executable sequences of commands designed to perform specific tasks on the devices. 4. **Run Monitoring**: Provide functionality for users to start, stop, and monitor the status of workflow runs. Include real-time updates on the progress of each run. 5. **Remote Device Control**: Integrate features that let users send commands to devices directly from the app, such as turning them on/off, changing settings, etc. 6. **Usage Tracking**: Track and display the usage statistics of each device, including uptime, downtime, and any errors encountered during operations. 7. **Notifications**: Set up notifications for critical events like workflow completion, device failure, or system alerts. 8. **User Interface**: Design a clean and intuitive UI that allows easy navigation through these functionalities. To achieve these goals, you will heavily utilize the Axilio Python SDK. Specifically, use its methods for authenticating users, managing devices and workflows, monitoring run statuses, sending commands, and tracking usage data. Ensure that all interactions with the Axilio API are handled securely and efficiently.
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