🤖 AI Analysis

Final verdict: SAFE

The package aiogram-renderer v1.3.8 exhibits minimal risks across all categories assessed, with no signs of network calls, shell execution, or obfuscation. The slight increase in metadata risk due to the author's limited presence on PyPI does not indicate a supply-chain attack.

No network calls
No shell execution
No obfuscation

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution detected, which is expected unless the package requires system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
Metadata: The author has only one package on PyPI, indicating a potentially new or less active account.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (11971 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

◈ Medium Type Annotations 5.0

Partial type annotation coverage

116 type-annotated function signatures detected in source

◈ Medium Multiple Contributors 6.0

Limited contributor diversity

2 unique contributor(s) across 80 commits in Foldren/aiogram-renderer
Two distinct contributors found

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Foldren/aiogram-renderer appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Foldren" appears to have only 1 package on PyPI (new or inactive account)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aiogram-renderer

Create a fully-functional mini-app called 'Telegram Task Manager' using the Python package 'aiogram-renderer'. This app will allow users to manage their daily tasks directly from a Telegram bot interface. The app should support adding new tasks, marking tasks as completed, deleting tasks, and listing all current tasks. Additionally, it should include a feature to categorize tasks into different lists such as 'Work', 'Personal', etc., which can be toggled between using the bot commands.

The 'aiogram-renderer' package will be utilized to create a user-friendly interface for these operations, making the interaction with the bot more intuitive and visually appealing. Users should be able to interact with the bot through simple commands and receive responses in a structured format provided by the aiogram-renderer widgets.

Step-by-step instructions:
1. Set up a Telegram bot using BotFather and obtain your bot token.
2. Install the necessary packages including 'aiogram-renderer' and 'aiogram'.
3. Define the structure of the tasks database (you can use SQLite for simplicity).
4. Implement the core functionalities of adding, marking as completed, deleting, and listing tasks.
5. Integrate the 'aiogram-renderer' package to enhance the bot's UI, ensuring that the tasks are displayed in a neat and organized manner.
6. Add functionality for categorizing tasks into different lists and implement logic to switch between these categories.
7. Test the application thoroughly to ensure all features work as expected.
8. Deploy the bot to a hosting service like Heroku or AWS so it can run continuously and be accessible to users.

This project aims to demonstrate the power of 'aiogram-renderer' in building sophisticated and interactive Telegram bots while also providing a practical solution for task management.