ln-627-observability-auditor

Audit codebases for observability best practices and generate improvement reports.

Updated Mar 9, 2026
One-click install
npx skills add https://github.com/cbbkrd-tech/jl-finishes --skill ln-627-observability-auditor-cbbkrd-tech
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ln-627-observability-auditor
Source: https://github.com/cbbkrd-tech/jl-finishes/tree/main/.claude/skills/ln-627-observability-auditor
Command: npx skills add https://github.com/cbbkrd-tech/jl-finishes --skill ln-627-observability-auditor-cbbkrd-tech

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill identifies gaps in a project's observability practices, ensuring critical systems are properly monitored and debuggable.

Core Features & Use Cases

  • Structured Logging Audit: Checks for the use of structured logging frameworks over simple console.log.
  • Health Check Verification: Ensures essential /health, /ready, or /live endpoints are present.
  • Metrics & Tracing Checks: Assesses the implementation of metrics collection and request tracing.
  • Log Level Analysis: Verifies that appropriate log levels are utilized for visibility.
  • Use Case: A development team needs to ensure their new microservice meets the company's observability standards before deployment. This Skill can be run against the codebase to generate a compliance report and identify areas for improvement.

Quick Start

Run the ln-627-observability-auditor skill to audit the current project's observability.

Frequently Asked Questions about ln-627-observability-auditor

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

FAQPage Schema
How do I audit my codebase for observability best practices?

To audit observability practices, you can run a script-based analyzer against your codebase to detect deviations in structured logging, health checks, metrics, and tracing. It generates a detailed report with severity levels and effort estimations for identified gaps.

What is structured logging and how does it differ from console.log?

Structured logging uses specialized logging frameworks to output machine-readable data formats like JSON, unlike simple console.log statements. Auditing your codebase helps identify instances where console.log is used instead of structured logging, which is critical for effective monitoring and debugging.

How do I verify that health check endpoints are implemented in my microservice?

Verifying health check endpoints involves scanning your codebase for essential routes like /health, /ready, or /live. This Skill checks for the presence of these endpoints to ensure your microservice meets standard observability and deployment readiness requirements.

Does this observability audit assess log levels and request tracing implementation?

Yes, the observability audit assesses both log levels and request tracing. It verifies that appropriate log levels are utilized for visibility and checks for the implementation of request tracing to ensure critical system interactions are properly monitored and debuggable.

Can I use this observability audit for a microservice before deployment?

Yes, you can use this observability audit for a microservice before deployment. It is designed to check if a new service meets company observability standards by generating a compliance report that highlights areas for improvement before the code goes live.