How does this skill identify intermittent failures?

The skill analyzes historical execution data to find 'flapping' patterns where checks pass and fail sporadically, which typically suggests network instability or resource contention.

What information do I need to provide to start troubleshooting?

You can provide a specific health check name or ID. If you don't have it, the skill can search for relevant checks based on your description or list all checks to find the culprit.

Can I use this to test a fix immediately?

Yes, the skill utilizes the run_health_check tool to trigger an immediate execution, allowing you to verify if your configuration changes resolved the issue.

Does it track when a health check configuration was changed?

Yes, the skill uses the search_catalog_changes tool to see if recent specification updates correlate with the start of the health check failures, helping identify regressions.

Mission Control Health Check Troubleshooter

Name: Mission Control Health Check Troubleshooter
Author: flanksource

byflanksource

Analíticas y Monitorización

Diagnoses and resolves Mission Control health check failures by analyzing execution patterns, configuration history, and root causes.

Acerca de

This skill empowers Claude to perform deep-dive forensics on Mission Control health checks. It systematically analyzes execution history, identifies failure patterns such as intermittent timeouts or configuration regressions, and cross-references recent catalog changes to pinpoint specific root causes. By following a structured troubleshooting workflow, it helps developers and SREs move quickly from an 'unhealthy' status to a validated remediation, ensuring infrastructure reliability and high observability across your system.

Características Principales

Structured diagnostic summaries with impact assessments
Real-time fix validation using run_health_check
Automated failure pattern analysis (intermittent vs. consistent)
Config change cross-referencing with catalog updates
Historical execution and duration trend tracking
0 GitHub stars

Casos de Uso

Investigating recurring timeouts in production endpoints
Differentiating between network instability and backend performance issues
Identifying specific configuration changes that broke a canary check

Acerca de

Características Principales

Structured diagnostic summaries with impact assessments
Real-time fix validation using run_health_check
Automated failure pattern analysis (intermittent vs. consistent)
Config change cross-referencing with catalog updates
Historical execution and duration trend tracking
0 GitHub stars

Casos de Uso

Investigating recurring timeouts in production endpoints
Differentiating between network instability and backend performance issues
Identifying specific configuration changes that broke a canary check