What is observability-testing?
Verifies structured log output and error context. Provides mock logger creation, log level policy enforcement, and assertion patterns for observability testing. Source: apankov1/quality-engineering.
Verifies structured log output and error context. Provides mock logger creation, log level policy enforcement, and assertion patterns for observability testing.
Quickly install observability-testing AI skill to your development environment via command line
Source: apankov1/quality-engineering.
Test that your code produces correct logs — not just that it runs.
Logs are your only window into production behavior. If critical paths don't log correctly, you're flying blind during incidents. This skill teaches you to verify structured log output as part of your test suite.
When to use: Testing error logging with context, audit trails, monitoring integration, log level policy enforcement, any code where observability matters.
Verifies structured log output and error context. Provides mock logger creation, log level policy enforcement, and assertion patterns for observability testing. Source: apankov1/quality-engineering.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/apankov1/quality-engineering --skill observability-testingVerifies structured log output and error context. Provides mock logger creation, log level policy enforcement, and assertion patterns for observability testing. Source: apankov1/quality-engineering.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/apankov1/quality-engineering --skill observability-testing Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/apankov1/quality-engineering