Aggregate coverage reports across languages to identify untested code paths.
npx skills add https://github.com/mayurpise/draft --skill coverage-mayurpise
Please help me install this Agent Skill. Skill: coverage Source: https://github.com/mayurpise/draft/tree/main/skills/coverage Command: npx skills add https://github.com/mayurpise/draft --skill coverage-mayurpise
This Skill helps teams understand and improve test coverage by aggregating results from coverage reports and highlighting untested code paths.
Run an initial coverage analysis using your project’s test runner and review the resulting report to identify and remediate gaps.
High-intent search queries and answers about installing and using this skill.
To identify test coverage gaps in a multi-language project, you aggregate coverage reports from standard tools like nyc and pytest-cov. This process highlights untested code paths and branches, enabling developers to prioritize and fix uncovered code.
Test coverage aggregation for CI pipelines works by gathering coverage data from standard tools like nyc and pytest-cov. It presents a unified report that integrates into CI dashboards to track quality trends over time.
Yes, you can use pytest-cov and nyc reports together to find untested code paths. The aggregation process gathers data from both tools to automatically identify uncovered lines and branches with suggested test actions.
Yes, you need access to your repository's test commands to generate actionable coverage results. Running an initial coverage analysis using your project's test runner is required to review the resulting report and remediate gaps.
The best way to track code quality and coverage trends over time is by integrating coverage insights into CI dashboards. This allows teams to monitor unified coverage data and identify untested paths across multi-language projects continuously.
CoreStack-EnggAudits Jest, pytest-cov, and go test-cover reports to identify uncovered code paths.
greyhaven-aiGenerate unit and integration tests for TypeScript and Python codebases.
kage1020Run tests, linting, and builds to verify code quality.
HomericIntelligenceGenerate and analyze pytest coverage reports to identify untested code paths.
