AI Analysis
The package shows minimal risks in terms of network, shell execution, obfuscation, and credential handling. However, the metadata risk score is relatively high due to missing repository information and sparse author details, suggesting potential supply-chain concerns.
- No network calls, shell executions, obfuscations, or credential harvesting detected.
- High metadata risk due to unverified repository and sparse author details.
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communications.
- Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The repository is not found, author details are sparse, and the maintainer seems new or inactive, raising concerns.
Package Quality Overall: Low (3.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (2491 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
21 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 404
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: agentunion.ai>
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 fully-functional mini-application called 'AUN Notifier' using the Python package 'auntui'. This application will serve as an interactive terminal client and a headless daemon for monitoring and notifying users about events on the AUN network. The application should allow users to set up custom alerts for specific events or actions within the AUN protocol. Additionally, it should provide real-time updates through both the terminal interface and email notifications. Step-by-Step Instructions: 1. Set up the environment: Ensure you have Python installed along with the 'auntui' package. Use pip to install 'auntui' if it's not already available. 2. Design the User Interface: Utilize 'auntui' to create an interactive terminal menu where users can configure their alert preferences, view current alerts, and manage subscriptions to different types of AUN events. 3. Implement Real-Time Monitoring: Write code to continuously monitor the AUN protocol using 'auntui'. This involves setting up a daemon that listens for specific events and triggers the appropriate actions based on user-defined rules. 4. Notification System: Integrate email sending capabilities into your application. When an event occurs that matches a user's alert settings, send an email notification detailing the event. 5. Testing & Deployment: Thoroughly test your application to ensure all features work correctly. Consider deploying the application to a server so it can run continuously and monitor the AUN protocol even when no one is actively using the terminal interface. Suggested Features: - Customizable alert rules allowing users to specify which events trigger notifications. - A log file to keep track of all monitored events and sent notifications. - An option to pause or resume real-time monitoring from the terminal interface. - Support for multiple user profiles, each with its own set of alert rules.
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