AI Analysis
The package shows signs of obfuscation and has a low level of community engagement, raising concerns about its legitimacy and intentions.
- Obfuscation risk due to redeclaration of eval()
- Low community engagement and new maintainer account
Per-check LLM notes
- Network: No network calls detected, indicating low risk.
- Shell: Shell executions are primarily for managing Python environment and packages, suggesting benign activities.
- Obfuscation: The redeclaration of eval() with altered parameters is likely for obfuscation purposes, indicating potential risk.
- Credentials: No clear patterns indicative of credential harvesting were detected.
- Metadata: The maintainer has a new or inactive account and the repository lacks community engagement.
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://aveyzan.xyz/aveytense/Detailed PyPI description (4184 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
491 type-annotated function signatures detected in source
Limited contributor diversity
2 unique contributor(s) across 12 commits in Aveyzan/aveytenseTwo distinct contributors found
Heuristic Checks
No suspicious network call patterns found
Found 6 obfuscation pattern(s)
t)) # Re-declaring eval() and exec() with every argument except 'source' as universameter before Python 3.11 def eval( source: Union[str, ReadableBuffer, CodeType], /,Equivalent to the `eval()` inbuilt function, just with changed signature: parametersbuiltins return builtins.eval(source, globals, locals) if _sys.version_info >= (3, 11):key] != "_no_re_internal" and eval("t.{}.__code__".format(key)) != eval("{}.__code__".format(_c.{}.__code__".format(key)) != eval("{}.__code__".format(_cannot_redo[key])): _
Found 5 shell execution pattern(s)
_py = "python3" subprocess.run([_sys.executable, _py, "-m", "pip", "install", "--upgrade",try: out = subprocess.check_output([sys.executable, "-m", "pip", "list"]).split("\r\n")ept ModuleNotFoundError: subprocess.run([sys.executable] + "-m ensurepip".split(" ")) subprocesm ensurepip".split(" ")) subprocess.run([sys.executable] + "-m pip install --upgrade pip".split(" ")pgrade pip".split(" ")) subprocess.run([sys.executable] + "-m pip install typing_extensions".split(
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
1 maintainer concern(s) found
Author "Aveyzan" 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 simple time management tool using Python that leverages the 'aveytense' library to enhance its functionality. This tool will help users manage their daily tasks and appointments more efficiently by providing advanced tense handling capabilities for scheduling and reminders. Hereβs a detailed breakdown of what your application should include: 1. **User Interface**: Develop a clean and user-friendly command-line interface (CLI) that allows users to interact with the app easily. 2. **Task Management**: Users should be able to add, delete, and view their tasks. Each task should have a title, description, and due date. 3. **Appointment Scheduling**: Allow users to schedule appointments with specific start and end times. The app should automatically convert these times into the correct tense when displaying them, e.g., 'Your meeting is scheduled for tomorrow' instead of 'Your meeting is scheduled for the day after today'. Use 'aveytense' to handle the tense conversions accurately. 4. **Reminders**: Implement a feature where users can set reminders for tasks or appointments. These reminders should be displayed in the correct tense relative to the current time, e.g., 'You have a reminder for an hour from now'. Again, use 'aveytense' for handling tenses in reminder messages. 5. **Export/Import**: Provide options to export the user's schedule and tasks to a file and import it back later. This feature should ensure data persistence across sessions. 6. **Help Documentation**: Include a help section within the CLI that explains how to use each command effectively. Ensure that the documentation mentions the use of 'aveytense' and how it improves the app's functionality. To utilize 'aveytense', integrate it into your codebase to handle all time-related string manipulations, ensuring that all outputs regarding past, present, and future times are grammatically correct and contextually appropriate. This integration will significantly improve the user experience by making the app's communications more natural and understandable.
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