AI Analysis
The package shows minimal signs of risk with no network calls, no obfuscation, and no credential harvesting. The shell execution detection suggests potential system operations but does not indicate malicious behavior.
- No network calls detected
- No obfuscation or credential harvesting detected
Per-check LLM notes
- Network: No network calls detected, which is low risk.
- Shell: Detection of shell execution may indicate the package performs some system operations, but without additional context, it's hard to determine if this is intended functionality or malicious activity.
- Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.
- Metadata: The author has only one package, which may indicate a new or less active account, but no other red flags were identified.
Package Quality Overall: Medium (6.6/10)
Test suite present — 9 test file(s) found
Test runner config found: pyproject.toml9 test file(s) detected (e.g. test_bundle_hash.py)
Some documentation present
Documentation URL: "Documentation" -> https://github.com/agenticempire/axint/tree/main/python#readDetailed PyPI description (4802 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 project199 type-annotated function signatures detected in source
Active multi-contributor project
4 unique contributor(s) across 100 commits in agenticempire/axintSmall but multi-author team (3–4 contributors)
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
Found 1 shell execution pattern(s)
try: completed = subprocess.run( ["node", "--input-type=module", "-e", script, s
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository agenticempire/axint appears legitimate
1 maintainer concern(s) found
Author "Axint contributors" 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 mini-application named 'SmartReminder' using the Python package 'axint'. This application will allow users to define custom reminders and notifications directly from their iOS devices through a combination of App Intents and Widgets. Your goal is to demonstrate the versatility and ease of use of the 'axint' package by building a simple yet functional tool that integrates seamlessly into the user's daily routine. Step-by-Step Instructions: 1. Define a custom App Intent called 'SetReminder' which allows users to input details like reminder title, description, and time. 2. Implement a Widget that displays upcoming reminders for the day, allowing users to glance at their schedule without opening the full app. 3. Create an App View that provides more detail about each reminder, including the ability to edit or delete reminders. 4. Ensure the application is fully functional, meaning it should store reminders locally, trigger notifications at the specified times, and update the Widget accordingly. 5. Add a feature that allows users to categorize their reminders (e.g., work, personal, etc.) and filter them based on these categories. 6. Finally, ensure the application is user-friendly and visually appealing, reflecting the best practices of iOS design. How 'axint' Package is Utilized: - Use 'axint' to define the 'SetReminder' App Intent with necessary parameters such as title, description, and time. - Leverage 'axint' to create the Widget that dynamically updates based on the stored reminders. - Employ 'axint' to develop the App View that offers a detailed interface for managing reminders. - Apply 'axint' functionalities to handle the categorization and filtering of reminders within the application. This project aims to showcase the power and flexibility of the 'axint' package while providing a practical, real-world solution for managing daily tasks and responsibilities.
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