atqo

v2.0.0 suspicious
6.0
Medium Risk

Async task queue orchestrator with resource-aware scheduling

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low activity and poor metadata quality, along with a potential typosquatting attempt targeting 'arq'. These factors suggest possible malicious intent.

  • Low maintainer activity and poor metadata quality
  • Potential typosquatting attempt
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • Shell: No shell execution patterns detected, indicating no direct system command execution by the package.
  • 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, which could indicate potential malicious intent.
  • ⚠ Typosquatting target: arq

📦 Package Quality Overall: Medium (5.2/10)

✦ High Test Suite 9.0

Test suite present — 11 test file(s) found

  • Test runner config found: pyproject.toml
  • 11 test file(s) detected (e.g. test_basic.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2813 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

  • 45 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in endremborza/atqo
  • Single author but highly active (100 commits)

🔬 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 score 6.0

Possible typosquat of: arq, amqp

  • "atqo" is 2 edit(s) from "arq"
  • "atqo" is 2 edit(s) from "amqp"
✓ 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 atqo 
Create a fully functional mini-application called 'TaskMaster' using the Python package 'atqo'. TaskMaster is designed to help users manage their tasks more efficiently by leveraging asynchronous task queues and resource-aware scheduling. Your application should allow users to add tasks, schedule them for execution at specific times, and monitor their progress. Additionally, TaskMaster should dynamically adjust the number of concurrent tasks based on system load to optimize performance.

### Key Features:
- **Task Management:** Users can add new tasks, edit existing ones, and delete completed or unnecessary tasks.
- **Scheduling:** Tasks can be scheduled for execution at a specific time or after a certain delay.
- **Progress Tracking:** Users should be able to see the status of each task (e.g., pending, running, completed).
- **Resource-Aware Scheduling:** The application should automatically adjust the number of concurrently running tasks based on the current system load.
- **User Interface:** Develop a simple command-line interface (CLI) for interacting with the application.

### Utilizing 'atqo':
- Use 'atqo' to create and manage the task queue.
- Implement resource-aware scheduling using 'atqo' to ensure optimal use of system resources.
- Schedule tasks using 'atqo' to execute them at predefined intervals.
- Monitor the status of tasks and update the CLI interface accordingly.

Your goal is to build a robust and efficient task management tool that showcases the capabilities of 'atqo' in handling asynchronous tasks and optimizing resource usage.

💬 Discussion Feed

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