🤖 AI Analysis

Final verdict: SAFE

The package has low risks across all assessed categories except for metadata, where it shows signs of low maintainer activity and poor metadata quality. However, these factors alone do not indicate a supply-chain attack.

No network or shell risks detected
Low obfuscation and credential risks
Metadata issues suggest low maintainer activity

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no direct system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows signs of low maintainer activity and poor metadata quality, raising concerns but not definitive evidence of malice.

📦 Package Quality Overall: Medium (5.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

Test runner config found: pyproject.toml

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://github.com/kuschanow/aiogram_dialog_manager
Detailed PyPI description (23638 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

186 type-annotated function signatures detected in source

◈ Medium Multiple Contributors 6.0

Limited contributor diversity

2 unique contributor(s) across 32 commits in kuschanow/aiogram_dialog_manager
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

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aiogram-dialog-manager

Create a Telegram bot using Python's 'aiogram' framework and the 'aiogram-dialog-manager' package. This bot will serve as a simple task management tool, allowing users to create, view, update, and delete tasks. Here’s a detailed plan on how to build this mini-application:

1. **Setup Environment**: Ensure your environment is set up with Python 3.8+ and install necessary packages including 'aiogram', 'aiogram-dialog-manager', and any other dependencies you might need.

2. **Bot Initialization**: Initialize your bot using 'aiogram'. Set up the bot to listen for incoming messages and commands.

3. **Task Management Functions**: Implement functions to handle CRUD operations for tasks. These include adding a new task, listing all tasks, updating existing tasks, and deleting tasks.

4. **Integration with aiogram-dialog-manager**: Use 'aiogram-dialog-manager' to manage conversations between the user and the bot. Design a dialog flow where the bot guides the user through creating, viewing, updating, or deleting tasks. For example, when a user wants to add a task, the bot should ask for details like title and due date, then confirm these details before saving the task.

5. **User Interface**: Make sure the bot provides clear instructions and feedback to the user at each step of the interaction. Utilize buttons and inline keyboards provided by Telegram to make interactions more intuitive.

6. **Testing**: Thoroughly test your bot to ensure it handles various scenarios correctly, such as invalid inputs, missing data, and unexpected user behavior.

7. **Deployment**: Deploy your bot to a server that can keep it running continuously, such as Heroku or a VPS.

**Suggested Features**:
- Support for setting priorities (high, medium, low).
- Ability to mark tasks as completed.
- Notifications for upcoming deadlines.
- Statistics about completed vs pending tasks.
- Integration with Google Calendar or another calendar service to sync tasks.

By following these steps and incorporating the suggested features, you'll create a robust and user-friendly task management bot powered by 'aiogram' and 'aiogram-dialog-manager'.