aion-scheduler

v0.1.0 suspicious
5.0
Medium Risk

Run async functions in Rust

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no signs of immediate malicious behavior but has a high metadata risk due to its newness and lack of detailed author information.

  • High metadata risk due to limited author information.
  • No direct evidence of malicious activities.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communication.
  • Shell: No shell execution patterns detected, indicating no immediate risk from command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.
  • Metadata: The package is new with limited information about the author, raising concerns about its legitimacy.

📦 Package Quality Overall: Low (2.8/10)

○ 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 (3469 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

  • Type checker (mypy / pyright / pytype) referenced in project
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 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

No GitHub repository linked

  • No GitHub repository link found
Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author name is missing or very short
  • Author "" 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 aion-scheduler
Create a fully-functional asynchronous task scheduler application using the 'aion-scheduler' package in Python. This application will allow users to define, schedule, and manage tasks that run asynchronously. Each task can be a function that performs any operation, such as sending emails, processing data, or making API calls. The application should have a user-friendly interface where tasks can be added, edited, deleted, and their status can be monitored.

Key Features:
1. Add new tasks with a description, function to execute, and scheduled time.
2. Edit existing tasks to change their details or reschedule them.
3. Delete tasks from the system.
4. View the current status of all tasks, including when they were last executed and their execution status.
5. Use 'aion-scheduler' to handle the scheduling and execution of these tasks in an asynchronous manner.
6. Implement logging for each task execution to track errors and successes.
7. Provide a simple command-line interface (CLI) for interacting with the application.
8. Include documentation on how to use the CLI and set up the application.

Steps to Build the Application:
1. Set up your Python environment and install the 'aion-scheduler' package.
2. Design the structure of your application, deciding how you will store tasks and their details.
3. Create functions to add, edit, delete, and view tasks.
4. Integrate 'aion-scheduler' to handle the scheduling and execution of tasks asynchronously.
5. Implement logging functionality to record task execution statuses.
6. Develop a CLI for users to interact with the application.
7. Test the application thoroughly to ensure it works as expected.
8. Write documentation explaining how to use the application and set up the CLI.

This project will demonstrate the power of asynchronous programming and how 'aion-scheduler' can simplify the process of managing complex task schedules.

💬 Discussion Feed

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