AI Analysis
The package 'ask-human' has low risks associated with obfuscation and credential harvesting, but its metadata suggests potential concerns due to newness and lack of detailed author information.
- Low obfuscation risk (1/10)
- Low credential risk (1/10)
- Metadata risk due to new upload and incomplete author details (5/10)
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package is newly uploaded with minimal engagement and incomplete author information, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Medium (6.2/10)
Test suite present β 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 (19815 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 project99 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 (3β4 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", "--help"],as a module.""" result = subprocess.run( [sys.executable, "-m", "ask_human", "--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
3 maintainer concern(s) found
Package is very new: uploaded 3 day(s) agoAuthor 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 management mini-app using the 'ask-human' package in Python. This app will allow users to create, manage, and prioritize tasks through a simple Telegram bot interface. The app will leverage the 'ask-human' package to interact directly with the user for task-related information such as task names, due dates, priorities, and completion status. Hereβs a step-by-step guide on how to build this mini-app: 1. **Setup Project Environment**: Start by setting up a new Python environment and install necessary packages including 'ask-human', 'python-telegram-bot', and any other dependencies. 2. **Configure Telegram Bot**: Use the Telegram Bot API to create a bot that interacts with users. Integrate the 'ask-human' package to handle user inputs for task details. 3. **Task Management Features**: - **Task Creation**: Allow users to add new tasks by sending commands to the bot. The 'ask-human' package will prompt users for task name, description, due date, and priority level. - **View Tasks**: Implement a command for users to view their current tasks. Display tasks based on their priority levels and due dates. - **Update Tasks**: Provide functionality for users to update task details, such as changing due dates or marking tasks as completed. 4. **Prioritization System**: Design a simple prioritization system where users can set the importance of each task. The 'ask-human' package will assist in gathering this information. 5. **User Interaction**: Ensure smooth interaction between the user and the bot. Use 'ask-human' to make sure all necessary user inputs are collected accurately and efficiently. 6. **Testing & Deployment**: Test your bot thoroughly to ensure all commands work as expected. Deploy the bot on a server to make it accessible to users via Telegram. 7. **Enhancements**: Consider adding additional features like reminders for upcoming deadlines or integration with a calendar app. This project aims to demonstrate the practical use of the 'ask-human' package in building interactive applications that require direct user input.
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