observability-agent

Audit service instrumentation for logging, metrics, traces, and alert configurations.

Updated Apr 4, 2026
One-click install
npx skills add https://github.com/asalhamed/dev-agents --skill observability-agent-asalhamed
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: observability-agent
Source: https://github.com/asalhamed/dev-agents/tree/main/observability-agent
Command: npx skills add https://github.com/asalhamed/dev-agents --skill observability-agent-asalhamed

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Verify instrumentation completeness, validate alert rules, monitor SLO compliance, and audit logging/tracing coverage.

Core Features & Use Cases

  • Ensure structured logging, metrics, and traces across services
  • Validate alert rules and runbooks for incident readiness
  • Audit health endpoints and trace propagation to prevent blind spots
  • Produce a centralized observability audit report for production readiness

Quick Start

Run the observability-agent after implementation to verify logs, metrics, traces, and alerts against the defined standards.

Frequently Asked Questions about observability-agent

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

FAQPage Schema
How do I audit service instrumentation for complete observability before production?

Audit service instrumentation by verifying structured logging, RED metrics, trace propagation, and alert configurations across distributed systems to produce a centralized observability readiness report.

What is observability validation for distributed systems and when do I need it?

Observability validation is the post-implementation process of verifying logs, metrics, traces, and alerts meet defined standards. You need it during post-implementation validation to prevent blind spots in backend and frontend services.

How do I validate alert rules and runbooks for incident readiness?

Validate alert rules and runbooks by auditing alert configurations against defined standards to ensure incident readiness, checking that health endpoints and trace propagation prevent operational blind spots across your services.

Does observability auditing work for both backend and frontend services?

Yes, observability auditing applies to both backend and frontend services during post-implementation validation, verifying structured logging, RED metrics, and trace propagation across your distributed systems architecture.

What's the best way to verify SLO compliance and health endpoint readiness?

The best way to verify SLO compliance is running a post-implementation audit that checks health endpoint readiness, structured logging standards, and trace propagation to ensure complete observability coverage across your services.

Why does my distributed system have observability blind spots after implementation?

Observability blind spots occur when structured logging, RED metrics, or trace propagation are incomplete. Auditing service instrumentation after implementation verifies coverage and prevents missing health endpoints or alert configurations.