Analyze LCOV coverage.info data to detect unexecuted lines, branches, and functions.
npx skills add https://github.com/multicam/ikigai-rev --skill lcov-multicam
Please help me install this Agent Skill. Skill: lcov Source: https://github.com/multicam/ikigai-rev/tree/main/.claude-i/library/lcov Command: npx skills add https://github.com/multicam/ikigai-rev --skill lcov-multicam
LCOV tooling helps developers identify gaps in test coverage by analyzing LCOV data and coverage.info to surface unexecuted lines, branches, and functions.
Run make check-coverage to generate coverage reports and inspect reports/coverage/coverage.info for gaps.
High-intent search queries and answers about installing and using this skill.
To find unexecuted lines and branches in a C++ coverage report, you parse LCOV coverage data by inspecting coverage.info entries like DA: and BRDA: to surface specific code gaps.
Automating coverage gap detection during CI involves parsing LCOV coverage.info files to identify unexecuted lines, branches, and functions, enabling you to fail builds when coverage drops.
Parsing LCOV coverage.info data helps identify test gaps by interpreting format patterns such as SF:, FN:, DA:, BRDA:, and FNDA: to derive actionable metrics on unexecuted code.
Yes, you can use LCOV gap analysis for local C/C++ testing workflows by running make check-coverage and inspecting the generated reports/coverage/coverage.info file to find uncovered code.
To identify uncovered functions in your LCOV test coverage data, you analyze the coverage.info file for FNDA: patterns, which track function execution counts and reveal unexecuted functions.
mgreenlyAnalyze LCOV coverage.info data to identify uncovered lines, branches, and functions.
mayurpiseAggregate coverage reports across languages to identify untested code paths.
condy0919Generates unit tests for C++ common modules using predefined patterns.
L3DigitalNetCollect and analyze Python and C++ test coverage for Qt projects.
