community-health-monitoring

Name: community-health-monitoring
Availability: InStock
Author: nich

Audit follower quality and engagement health to produce a community health score.

443|88|Updated Feb 18, 2024

Search Tags:#automation #audit #mcp #engagement #reporting #followers #social-health

Ready to run

npx skills add https://github.com/nirholas/XActions --skill community-health-monitoring

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: community-health-monitoring
Source: https://github.com/nirholas/XActions/tree/main/skills/community-health-monitoring
Command: npx skills add https://github.com/nirholas/XActions --skill community-health-monitoring

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Audits follower quality, engagement authenticity, unfollower patterns, and network efficiency to produce a community health score. Use when monitoring account health or detecting bot/spam followers.

Core Features & Use Cases

Automated baseline profile to determine follower/following dynamics and identify unhealthy patterns.
Engagement authenticity checks to flag anomalies, fake engagement, and potential bot activity.
Comprehensive health reporting with actionable recommendations and growth-trend insights for ongoing account management.

Quick Start

Run the MCP health workflow for a target account to generate a community health score and a detailed report.

Frequently Asked Questions about community-health-monitoring

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I audit follower quality and detect bot activity on my social account?▼

You can monitor social account health by running the MCP-driven workflow to calculate a comprehensive community health score. This process profiles baseline follower dynamics, detects unhealthy network patterns, and produces actionable reporting on churn and reciprocity.

What is community health monitoring for social media engagement?▼

You can automate regular health monitoring by applying this Skill to MCP-driven workflows. It implements a structured scoring model to continuously track follower quality, authenticity, churn, and reciprocity, enabling automated anomaly detection and actionable reporting.

Can I use this MCP workflow for regular health monitoring and anomaly detection?▼

Yes, you can apply this Skill to MCP-driven workflows for regular health monitoring and anomaly detection. It automates baseline profile generation and engagement authenticity checks to continuously flag fake engagement and potential bot activity across your social accounts.

How do I generate a social health report with actionable growth insights?▼

You generate a social health report by running the MCP health workflow for a target account. The Skill implements a detailed report template that analyzes unfollower patterns and network efficiency to deliver actionable recommendations and growth-trend insights.

Does this community health audit require any external dependencies or components?▼

No, this community health audit does not require external dependencies or components to function. It implements its own structured scoring model, detailed report template, and browser-script enhancements to support end-to-end follower health analysis natively.