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.
95
93%
Does it follow best practices?
Impact
95%
1.33xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a well-crafted skill description that excels across all dimensions. It clearly specifies the capability (health check endpoints with three specific types), provides explicit 'Use for' guidance with numerous natural trigger terms covering both infrastructure contexts (Kubernetes, load balancers) and problem scenarios (probe failures, timeout errors). The description is concise yet comprehensive.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'liveness, readiness, dependency monitoring' as distinct health check types, clearly describing what the skill does. | 3 / 3 |
Completeness | Clearly answers both what ('Health check endpoints for liveness, readiness, dependency monitoring') and when ('Use for Kubernetes, load balancers, auto-scaling, or encountering probe failures, startup delays, dependency checks, timeout configuration errors'). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'Kubernetes', 'load balancers', 'auto-scaling', 'probe failures', 'startup delays', 'dependency checks', 'timeout configuration errors' - all terms users naturally use when dealing with health check issues. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focused specifically on health check endpoints with distinct triggers like 'probe failures', 'liveness', 'readiness' that are unlikely to conflict with general infrastructure or monitoring skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, well-crafted skill that efficiently covers health check implementation with executable code and proper Kubernetes configuration. The content is appropriately concise and actionable. The main gap is the lack of explicit validation/testing workflow for verifying health checks work correctly before deployment.
Suggestions
Add a brief testing/validation section showing how to verify health endpoints work correctly (e.g., curl commands to test each endpoint, expected responses for healthy/unhealthy states)
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Content is lean and efficient with no unnecessary explanations. The table format for probe types is excellent, and code examples are minimal but complete. No padding or concepts Claude already knows. | 3 / 3 |
Actionability | Provides fully executable JavaScript code with a complete HealthChecker class, Express routes, and Kubernetes YAML configuration. All examples are copy-paste ready with specific paths, ports, and timing values. | 3 / 3 |
Workflow Clarity | While the probe types table clearly explains what each probe does and failure actions, there's no explicit workflow for implementing or debugging health checks. Missing validation steps for testing probes work correctly before deployment. | 2 / 3 |
Progressive Disclosure | Well-structured with clear sections progressing from concepts to implementation to configuration. References additional implementations in a separate file with clear signaling of what's available there. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
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Table of Contents
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