AI Analysis
The package exhibits moderate network risk due to HTTP requests via urllib and has low maintainer activity along with poor metadata quality, which raises concerns about its legitimacy.
- moderate network risk
- low maintainer activity
- poor metadata quality
Per-check LLM notes
- Network: The use of urllib to make HTTP requests is common but may indicate data exfiltration if the URLs are controlled by an external party.
- Shell: No shell execution patterns detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows low maintainer activity and poor metadata quality, raising suspicion but not definitive evidence of malice.
Package Quality Overall: Low (4.4/10)
Test suite present — 1 test file(s) found
Test runner config found: pyproject.toml1 test file(s) detected (e.g. test_emitter.py)
Some documentation present
Detailed PyPI description (2601 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
6 type-annotated function signatures (partial)
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
Found 2 network call pattern(s)
encode("utf-8") req = urllib.request.Request( url, data=raw,ion/json"}, ) urllib.request.urlopen(req, timeout=_HTTP_TIMEOUT).close() except (urll
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
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 simple Python application named 'EventLogger' that leverages the 'athena-ptc-emitter' package to demonstrate event handling within a sandboxed environment. This application will serve as a basic logger tool, where various events (such as file operations, user actions, and system notifications) can be emitted and handled through custom listeners. ### Application Overview: - **Event Emitter**: Utilize 'athena-ptc-emitter' to create an event emitter instance that will emit different types of events. - **Event Listeners**: Implement multiple listeners that respond to specific types of events. For example, one listener could log file operations to a text file, while another might send an email notification for critical system alerts. - **User Interface**: Develop a simple command-line interface (CLI) for users to trigger events manually or through predefined scripts. - **Configuration**: Allow users to configure which events are monitored and how they should be handled via a configuration file. ### Key Features: 1. **Dynamic Event Handling**: Users should be able to define new events and their corresponding handlers at runtime without restarting the application. 2. **Logging Mechanism**: Events and their timestamps should be logged into a structured format (e.g., JSON) for easy analysis. 3. **Extensibility**: The application should support plugins or extensions that can add more sophisticated event handling capabilities, such as integrating with external APIs for real-time data processing. 4. **Security**: Ensure that only authorized events are processed to prevent misuse within the sandboxed environment. 5. **Documentation**: Provide comprehensive documentation on how to use the application, including examples of common event types and handler implementations. ### Utilization of 'athena-ptc-emitter': - Use 'athena-ptc-emitter' to instantiate an event emitter object. - Define event names and attach listener functions to these events using the emitter's API. - Emit events based on user input or predefined conditions. - Handle errors gracefully when emitting or listening to events to maintain application stability. ### Example Workflow: 1. Start the application from the CLI. 2. Configure initial settings through a provided configuration file. 3. Manually trigger an event (e.g., 'file_created') from the CLI. 4. Observe the event being logged and any associated actions (e.g., logging to a file). 5. Modify the configuration to add a new event type and its handler. 6. Restart the application to apply changes and test the new functionality. This project aims to showcase the flexibility and power of event-driven architecture within a constrained environment, leveraging the 'athena-ptc-emitter' package for efficient event management.
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