ln-627-observability-auditor

Solid

Checks structured logging, health checks, metrics collection, request tracing, log levels. Use when auditing observability.

AI & Automation 479 stars 67 forks Updated yesterday MIT

Install

View on GitHub

Quality Score: 94/100

Stars 20%
89
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

> **Paths:** File paths (`shared/`, `references/`, `../ln-*`) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root. If `shared/` is missing, fetch files via WebFetch from `https://raw.githubusercontent.com/levnikolaevich/claude-code-skills/master/skills/{path}`. # Observability Auditor (L3 Worker) **Type:** L3 Worker Specialized worker auditing logging, monitoring, and observability. ## Purpose & Scope - Audit **observability** (Category 10: Medium Priority) - Check logging, health checks, metrics, tracing - Calculate compliance score (X/10) ## Inputs **MANDATORY READ:** Load `shared/references/audit_worker_core_contract.md`. Receives `contextStore` with tech stack, framework, codebase root, output_dir. ## Workflow **MANDATORY READ:** Load `shared/references/two_layer_detection.md` for detection methodology. 1) Parse context + output_dir 2) **Determine project type (Layer 2 pre-check):** Is this a web service (all checks apply), CLI tool (health/probes not applicable), or library (most checks optional)? Adjust applicable checks accordingly. 3) Check observability patterns (Layer 1: grep) 4) Analyze context per candidate (Layer 2): - Structured logging: is this a library (no logging OK) or a service (logging required)? - Health endpoints: web service -> required. CLI/library -> skip - Request tracing: monolith -> less needed. Microservice -> critical 5) Collect confirmed findings 6) Calculat...

Details

Author
levnikolaevich
Repository
levnikolaevich/claude-code-skills
Created
7 months ago
Last Updated
yesterday
Language
JavaScript
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category