Observability and monitoring validation patterns for dashboards, alerting, log aggregation, APM traces, and SLA/SLO verification. Use when testing monitoring infrastructure, dashboard accuracy, alert rules, or metric pipelines.
Quickly install observability-testing-patterns AI skill to your development environment via command line
Source: proffesor-for-testing/agentic-qe.
Testing Levels | Level | Purpose | Dependencies | Speed |
| Query Validation | Elasticsearch/PromQL query accuracy | Data source | Fast | | Dashboard Accuracy | Visual matches source data | Full stack | Medium | | Alert Threshold | Trigger and notification testing | Alerting stack | Medium | | Pipeline Integrity | End-to-end metric flow | Full pipeline | Slower |
| Performance | Dashboard render time, query latency | Full stack | Slower |
Observability and monitoring validation patterns for dashboards, alerting, log aggregation, APM traces, and SLA/SLO verification. Use when testing monitoring infrastructure, dashboard accuracy, alert rules, or metric pipelines. Source: proffesor-for-testing/agentic-qe.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill observability-testing-patternsObservability and monitoring validation patterns for dashboards, alerting, log aggregation, APM traces, and SLA/SLO verification. Use when testing monitoring infrastructure, dashboard accuracy, alert rules, or metric pipelines. Source: proffesor-for-testing/agentic-qe.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill observability-testing-patterns Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/proffesor-for-testing/agentic-qe