Analyzes code coverage gaps and automates the creation of high-impact unit tests for Python projects.
The Test Coverage Improver skill streamlines the quality assurance process by executing coverage suites, identifying untested logic, and proposing targeted test cases. It focuses on high-impact areas such as public APIs, error handling, and complex logic paths within the OpenAI Agents framework. By automating the analysis of coverage artifacts and requiring user confirmation before implementation, it ensures that your codebase reaches its testing thresholds efficiently and reliably.
Key Features
01Detailed analysis of coverage.xml and console reports to find gaps
02Automated execution of coverage suites via make and coverage.py
03Post-implementation verification to confirm coverage gains
04Structured test proposals with scenarios and expected outcomes
0518,501 GitHub stars
06Prioritization of public APIs and critical error-handling paths
Use Cases
01Generating edge-case tests for complex error handling and timeouts
02Identifying and fixing coverage regressions after a large refactor
03Increasing test density for critical public-facing API modules
