AI Analysis
The package shows no signs of risky behavior such as network calls, shell execution, obfuscation, or credential harvesting. It appears to be designed for a specific use case without any red flags.
- No network calls detected
- No shell execution patterns
- No obfuscation patterns
- No credential harvesting patterns
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network interaction for its functionality.
- Shell: No shell execution patterns detected, indicating no direct system command execution attempts.
- Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating no immediate risk of secret theft.
Package Quality Overall: Low (4.6/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://github.com/noahhusby/aiostreammagicDetailed PyPI description (4362 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
55 type-annotated function signatures detected in source
Active multi-contributor project
3 unique contributor(s) across 100 commits in noahhusby/aiostreammagicSmall but multi-author team (3–4 contributors)
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: users.noreply.github.com
All external links appear legitimate
Repository noahhusby/aiostreammagic appears legitimate
1 maintainer concern(s) found
Author "Noah Husby" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a command-line utility called 'StreamMaster' using the Python package 'aiostreammagic'. This utility should allow users to control their Cambridge Audio/Stream Magic compatible audio streamers from the terminal. Your task is to design a fully-functional application that provides basic functionalities such as volume control, track navigation, and information retrieval about the currently playing song. Here are the detailed steps and features you need to implement: 1. **Setup Environment**: Ensure your environment is set up with Python 3.8+ and install 'aiostreammagic' along with any other necessary packages. 2. **Connection Management**: Implement a connection handler that allows the user to connect to their Stream Magic device. The connection should be established through a simple IP address input and handle disconnections gracefully. 3. **Volume Control**: Provide commands to increase, decrease, and set the volume of the connected streamer. Utilize 'aiostreammagic' to send appropriate asynchronous requests to adjust the volume. 4. **Track Navigation**: Enable users to play, pause, stop, and skip tracks. Use 'aiostreammagic' to send commands for these actions to the streamer. 5. **Song Information**: Display current song details like artist, album, and title when requested by the user. Fetch this information asynchronously using 'aiostreammagic'. 6. **Error Handling**: Implement robust error handling to manage issues such as connection failures, invalid commands, and unexpected responses from the streamer. 7. **User Interface**: Design a clean and intuitive CLI interface for ease of use. Include help messages and usage instructions. Additionally, consider adding advanced features like support for multiple devices, a history of recent commands, or even integrating with a music service API to search for and play specific songs directly from the CLI. Remember to document your code thoroughly and provide clear installation and usage instructions for others to use your 'StreamMaster' utility.