QE Coverage Analysis
OfficialO(log n) coverage gap detection.
Authorsummarybotng
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of efficiently identifying and prioritizing areas with insufficient test coverage in software development, ensuring higher quality and reduced risk.
Core Features & Use Cases
- Sublinear Gap Detection: Utilizes O(log n) algorithms for rapid identification of coverage gaps, even in large codebases.
- Risk-Weighted Analysis: Prioritizes gaps based on code criticality, complexity, and change frequency.
- Differential Coverage: Compares coverage between branches to detect regressions.
- Quality Gates: Enforces coverage thresholds to prevent merging low-quality code.
- Use Case: A development team can use this Skill to automatically pinpoint the most critical areas lacking tests before a release, ensuring that high-risk code is adequately covered and reducing the chance of production bugs.
Quick Start
Analyze test coverage for the source code located in the 'src/' directory and its tests in 'tests/'.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: QE Coverage Analysis Download link: https://github.com/summarybotng/summarybot-ng/archive/main.zip#qe-coverage-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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