🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks associated with network calls, shell execution, obfuscation, and credential harvesting. However, the presence of a suspicious non-HTTPS link and incomplete author details raises some concern, suggesting potential issues that need further investigation.

Suspicious non-HTTPS link
Incomplete author details

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: Suspicious non-HTTPS link and author details raise concerns, but no concrete evidence of malice.

🔬 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 score 2.0

Found 1 suspicious link(s) on the package page

Non-HTTPS external link: http://127.0.0.1:9222

✓ Git Repository History

Repository afkbot-io/afkbotio appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

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 afkbotio

Your task is to develop a Python-based mini-application called 'AFKGuardian' which leverages the 'afkbotio' package to monitor user activity on their computer and automatically engage in passive activities when the user goes idle. This application will serve as a smart solution for maintaining system activity during periods of inactivity, potentially preventing disconnections from online services like gaming servers or streaming platforms.

**Application Overview:**
- **Monitoring Idle Time:** Utilize the 'afkbotio' package to continuously monitor the user's keyboard and mouse activity to detect when the user has been idle for a specified period (e.g., 15 minutes).
- **Automated Passive Actions:** When idle time exceeds the threshold, the application should trigger predefined passive actions such as moving the mouse cursor slightly, pressing a key periodically, or simulating keystrokes to type a message (e.g., 'I am AFK').
- **Customizable Settings:** Users should be able to configure idle time thresholds and select which passive actions to perform upon detecting idleness.
- **User Interface:** Design a simple command-line interface (CLI) using the 'afkbotio' package's CLI capabilities to allow users to start, stop, and configure the application easily.

**Features to Implement:"
- **Idle Detection:** Use 'afkbotio' to track keyboard and mouse events and calculate idle time.
- **Action Scheduling:** Schedule and execute passive actions at regular intervals while the user is idle.
- **Configuration Management:** Allow users to save and load configuration settings via a file or environment variables.
- **Logging:** Implement logging functionality to record application events and user actions.
- **Help and Usage Information:** Provide comprehensive help information within the CLI to guide users through setup and usage.

**Utilizing 'afkbotio':**
- Explore the documentation and examples provided with 'afkbotio' to understand its capabilities for monitoring and interacting with the system.
- Integrate 'afkbotio' into your application to handle all aspects of idle detection and action execution.
- Consider how you might extend or customize 'afkbotio' to better suit the needs of your 'AFKGuardian' application.