How does the risk scoring work?

Risk scores are dynamically calculated based on the duration a sensor has been offline, telemetry health status, and whether the asset matches your defined naming conventions.

What is a 'silent sensor' in LimaCharlie?

A silent sensor is an endpoint that is heartbeating and appears 'online' but hasn't sent telemetry events recently, often indicating an agent crash or network filtering issue.

Can I use this skill for multi-tenant environments?

Yes, the skill features a specific Multi-Org mode designed for MSSPs to detect systemic issues and track SLA compliance across their entire customer fleet.

Does this skill require initialization?

Yes, you must have the LimaCharlie CLI tools configured and run the /init-lc command to provide the necessary context for the skill to access your organizations.

LimaCharlie Sensor Coverage & Asset Inventory

Name: LimaCharlie Sensor Coverage & Asset Inventory
Author: refractionPOINT

$refractionPOINT$ byrefractionPOINT

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Seguridad y Pruebas

Monitors LimaCharlie fleet health by identifying sensor coverage gaps, validating telemetry flow, and profiling assets for security posture management.

This skill provides a comprehensive monitoring framework for LimaCharlie endpoint deployments, serving as a vital tool for MSSPs and security teams. It goes beyond simple connectivity checks by identifying 'zombie' sensors—endpoints that are online but failing to send telemetry—and detecting Shadow IT through automated enrollment pattern analysis. With support for both deep-dive single-org profiling and fleet-wide multi-tenant assessments, it enables users to calculate risk scores, track SLA compliance, and ensure that every critical asset is properly monitored and reporting healthy security data.

Características Principales

01Automated asset profiling including OS versions, installed packages, and active services

02Real-time telemetry health validation to detect online but silent 'zombie' sensors

03Multi-org fleet assessments to identify systemic coverage trends across all tenants

04Compliance auditing to compare actual sensor deployments against expected asset inventories

053 GitHub stars

06Risk-based scoring for coverage gaps based on offline duration and asset criticality

Casos de Uso

01Identifying production servers that are online but failing to send security telemetry due to agent crashes

02Performing a weekly fleet health audit for an MSSP managing multiple customer environments

03Validating if all assets in a provided inventory list have active and healthy LimaCharlie sensors

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add refractionpoint/lc-ai sensor-coverage

For use in Claude.ai and ChatGPT

Características Principales

01Automated asset profiling including OS versions, installed packages, and active services

02Real-time telemetry health validation to detect online but silent 'zombie' sensors

03Multi-org fleet assessments to identify systemic coverage trends across all tenants

04Compliance auditing to compare actual sensor deployments against expected asset inventories

053 GitHub stars

06Risk-based scoring for coverage gaps based on offline duration and asset criticality

Casos de Uso

01Identifying production servers that are online but failing to send security telemetry due to agent crashes

02Performing a weekly fleet health audit for an MSSP managing multiple customer environments

03Validating if all assets in a provided inventory list have active and healthy LimaCharlie sensors