AI Analysis
The package is deprecated and lacks maintainer information, with low repository activity, suggesting potential abandonment or misuse.
- Deprecated package with no active maintenance
- Low repository activity and missing maintainer information
Per-check LLM notes
- Network: Network calls are common in packages that need to fetch external resources or communicate with servers.
- Shell: Subprocess execution can be legitimate if the package needs to run scripts or commands. However, it could also indicate potential risks like executing arbitrary code.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of being potentially malicious due to lack of maintainer information and low repository activity.
Package Quality Overall: Medium (6.2/10)
Test suite present — 16 test file(s) found
Test runner config found: conftest.pyTest runner config found: pyproject.toml16 test file(s) detected (e.g. __init__.py)
Some documentation present
Detailed PyPI description (1640 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project81 type-annotated function signatures detected in source
Active multi-contributor project
3 unique contributor(s) across 41 commits in alexchexes/ask-humanSmall but multi-author team (3–4 contributors)
Heuristic Checks
Found 4 network call pattern(s)
else {} request_obj = urllib.request.Request( request_url, data=request_dtry: with urllib.request.urlopen(request_obj, timeout=timeout) as response:try: with urllib.request.urlopen(file_url, timeout=60) as response: wutf-8") request_obj = urllib.request.Request( request_url, data=request_d
No obfuscation patterns detected
Found 4 shell execution pattern(s)
ignore[attr-defined] subprocess.Popen( command, stdin=subprocess.DEVNULL,ythonpath ) result = subprocess.run( [sys.executable, "-m", "ask_human_now", "--help"],as a module.""" result = subprocess.run( [sys.executable, "-m", "ask_human_now", "--help"],""" try: result = subprocess.run(["ask-human", "--help"], capture_output=True, text=True)
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
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 personalized task reminder app using the 'ask-human' Python package. This app will allow users to set up tasks with specific reminders and deadlines. When a deadline approaches, the app will use 'ask-human' to send a notification asking if the user wants to extend the deadline, complete the task, or cancel it. Here are the steps and features you should include: 1. **Setup**: Install necessary packages including 'ask-human'. 2. **User Interface**: Develop a simple command-line interface where users can add tasks, view their tasks, and manage deadlines. 3. **Task Management**: Allow users to create tasks with descriptions, due dates, and priorities. 4. **Reminder System**: Implement a system that triggers reminders based on the due date of each task. 5. **Decision Making**: When a reminder is triggered, use 'ask-human' to send a message to the user asking what action they want to take regarding the task (extend deadline, mark as completed, or cancel). 6. **Feedback Handling**: Based on the user's response via 'ask-human', update the task status accordingly in the app. 7. **Persistence**: Save task data locally so that it persists even after the app is closed. 8. **Notifications**: Enhance user experience by integrating notifications for reminders and updates. This project aims to demonstrate how 'ask-human' can be used to make applications more interactive and user-centric.
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