error_monitor

Aggregate Enso error and action logs into a real-time monitoring dashboard.

5|1|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/Proxy2021/Enso --skill error-monitor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: error_monitor
Source: https://github.com/Proxy2021/Enso/tree/main/server/apps/error_monitor
Command: npx skills add https://github.com/Proxy2021/Enso --skill error-monitor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Teams often struggle to keep track of scattered logs and errors across services. This skill provides a real-time dashboard that aggregates errors, shows severity breakdowns, trends, and health signals to support proactive reliability management.

Core Features & Use Cases

  • Real-time error overview with total counts, severity distribution, and top categories.
  • Trend and category analysis, recent error feed, and actionable recommendations.
  • Recurring pattern detection and fixes tracking to prevent regressions.

Quick Start

Show the current error health dashboard for the last 24 hours.

Frequently Asked Questions about error_monitor

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

FAQPage Schema
How do I monitor system health using error and action logs?

Real-time error monitoring aggregates error and action logs to compute a system health score, categorize severity, and track recurring faults. You get a dashboard showing error trends, recent feeds, and actionable fixes for proactive reliability management.

What is the best way to track recurring errors across services?

Tracking recurring errors involves clustering fault patterns from aggregated system logs to detect repeat incidents. This process identifies recurring categories, tracks applied fixes, and helps prevent regressions by surfacing historical error trends.

How do I categorize error severity from log data over specific time windows?

Error categorization analyzes aggregated log data across hourly time windows to classify errors by severity and category. This yields a structured breakdown of total counts, top categories, and trend distributions for visualization.

Can I compute a health score using circuit breaker and error rate data?

Yes, computing a health score ingests circuit breaker states and error rate monitor data alongside action logs. This ingestion calculates real-time health metrics, reflecting system stability and exposing structured results for dashboard visualization.

Does real-time error monitoring work without external dependencies?

Yes, real-time error monitoring operates without external dependencies, relying entirely on ingested internal logs and circuit breaker data. It independently processes error feeds, computes health scores, and clusters faults within the existing environment.