health-check-endpoints

Health check endpoints for liveness, readiness, dependency monitoring. Use for Kubernetes, load balancers, auto-scaling, or encountering probe failures, startup delays, dependency checks, timeout configuration errors.

1.33x

Quality

93%

Does it follow best practices?

Impact

95%

1.33x

Average score across 3 eval scenarios

Securityby

Advisory

Suggest reviewing before use

Evaluation results

95%

32%

Health Check Endpoints for Order Processing Service

Liveness vs readiness separation

Criteria

Without context

With context

Liveness path

100%

Readiness path

100%

Liveness is lightweight

100%

Liveness has timestamp

100%

Readiness checks db

100%

Readiness checks Redis

100%

503 on unhealthy

100%

200 on healthy

100%

Error in response

100%

Latency metrics

50%

92%

Kubernetes Deployment Manifest for Payment Service

Kubernetes probe configuration

Criteria

Without context

With context

Liveness path correct

100%

Readiness path correct

100%

Startup probe present

100%

Startup probe path

100%

Startup failureThreshold >= 25

100%

Liveness initialDelay >= 15

Readiness initialDelay 5

100%

Liveness failureThreshold 3

100%

Readiness failureThreshold 3

100%

Liveness timeout set

100%

Readiness timeout set

100%

Resource limits present

100%

32%

Comprehensive Health Dashboard for Data Pipeline Service

Deep health with system metrics

Criteria

Without context

With context

Liveness path

100%

Readiness path

100%

Deep health path

100%

Liveness no deps

100%

Readiness returns 503

100%

Liveness has timestamp

100%

Latency in checks

50%

100%

Error message captured

100%

CPU metric in deep

100%

Memory metric in deep

100%

Disk metric in deep

100%

503 for deep unhealthy

100%

Repository: secondsky/claude-skills
Commit: 90d6bd7

Evaluated: 29 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Health Check Endpoints for Order Processing Service Kubernetes Deployment Manifest for Payment Service Comprehensive Health Dashboard for Data Pipeline Service

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