aiko-monitor

v0.0.21 suspicious
5.0
Medium Risk

(No description)

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has moderate risk due to low maintainer activity and poor metadata quality, despite showing no clear signs of malicious intent.

  • Low maintainer activity and poor metadata quality
  • No clear malicious activities detected
Per-check LLM notes
  • Network: The use of httpx.Client indicates the package makes network requests, which could be for legitimate purposes like monitoring or reporting.
  • Shell: No shell execution patterns were detected, suggesting low risk in this area.
  • 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 some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (3.6/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

  • 4 test file(s) detected (e.g. test_core.py)
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ 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

  • 66 type-annotated function signatures detected in source
○ 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 score 1.5

Found 1 network call pattern(s)

  • httpx.Client: return httpx.Client( http2=http2, timeout=httpx.Timeout(
✓ 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

  • 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 aiko-monitor 
Your task is to develop a real-time system health monitoring tool using Python, leveraging the 'aiko-monitor' package. This tool will serve as a dashboard for system administrators and developers to keep track of critical system resources such as CPU usage, memory consumption, disk space, network traffic, and process statuses. Here’s a step-by-step guide on how to approach this project:

1. **Project Setup**: Begin by setting up your Python environment and installing the 'aiko-monitor' package. Ensure you have a recent version of Python installed.
2. **Feature Requirements**:
   - Real-time updates for CPU usage, memory usage, and disk space.
   - Ability to monitor specific processes and their resource usage.
   - Graphical representation of data over time.
   - Alert system for when thresholds are exceeded.
3. **Utilizing 'aiko-monitor'**:
   - Use 'aiko-monitor' to gather real-time data from the system.
   - Implement a method to periodically fetch and update these metrics.
4. **Building the Dashboard**:
   - Create a user-friendly interface where users can view the current status of various system resources.
   - Include options to customize which metrics are displayed and how they are presented.
5. **Alert System Integration**:
   - Set up thresholds for each metric to trigger alerts.
   - Alerts can be sent via email, SMS, or displayed prominently on the dashboard.
6. **Testing and Optimization**:
   - Thoroughly test the application under different conditions to ensure reliability.
   - Optimize performance to ensure minimal impact on system resources while monitoring.
7. **Documentation**:
   - Write comprehensive documentation detailing how to install, configure, and use the application.
8. **Deployment**:
   - Prepare the application for deployment, considering scalability and security.

This project aims to create a robust, user-friendly tool that enhances system management efficiency. Make sure to explore the capabilities of 'aiko-monitor' thoroughly and consider any additional functionalities that could make the tool more versatile and valuable.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!