Identify Go test coverage gaps and generate test stubs.
npx skills add https://github.com/gopherguides/gopher-ai --skill go-test-coverage
Please help me install this Agent Skill. Skill: go-test-coverage Source: https://github.com/gopherguides/gopher-ai/tree/main/agent-skills/skills/go-test-coverage Command: npx skills add https://github.com/gopherguides/gopher-ai --skill go-test-coverage
Go projects often mismanage test coverage, leaving gaps that hide defects. This skill identifies coverage shortfalls and provides actionable guidance to improve reliability.
Analyze my Go project to identify untested code, generate missing test stubs, and provide actionable coverage recommendations.
High-intent search queries and answers about installing and using this skill.
To find untested functions and error paths in your Go project, this skill analyzes your modules using go test -cover and go tool cover. It identifies coverage gaps at the package and function levels, targeting untested exported functions and edge cases.
Yes, you can automatically generate test stubs to improve Go test coverage. After analyzing your code and detecting coverage shortfalls, the skill produces ready-to-use test stubs and actionable recommendations to accelerate remediation.
Go code coverage gap analysis works by running standard toolchain utilities like go test -cover and go tool cover. The skill parses the coverage profiles to uncover untested functions, error paths, and edge cases, then outputs a structured report detailing these gaps.
You do not need an API key to get code quality insights for your Go modules, as standard coverage analysis relies on the go toolchain. However, providing an API key optionally enhances insights with additional context and patterns.
The best way to identify missing edge cases in Go packages is to run an automated gap analysis over your modules. This process detects untested exported functions and error paths, then generates concrete test cases and stubs to target those specific shortfalls.
When analyzing Go test coverage for large modules, the skill relies on standard toolchain outputs, which may require sufficient execution time for comprehensive profiling. It targets untested exported functions and error paths, but complex runtime behaviors might need additional manual testing beyond generated stubs.
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