test-coverage-improver
CommunityBoost code quality with better tests.
Authorzaziedlm
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the need to improve and maintain high test coverage within the OpenAI Agents Python repository, ensuring code robustness and reliability.
Core Features & Use Cases
- Coverage Analysis: Runs
make coverageto generate coverage reports (.coverage,coverage.xml). - Gap Identification: Analyzes coverage reports to pinpoint files and lines with low or no test coverage.
- Test Proposal: Suggests high-impact tests to cover identified gaps, prioritizing critical code areas.
- User Confirmation: Seeks explicit user approval before implementing any new tests.
- Test Implementation: Writes new tests in the
tests/directory after approval. - Verification: Reruns coverage and uses
$code-change-verificationto confirm improvements.
Quick Start
Run make coverage from the repo root to regenerate coverage data and then analyze the results.
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: test-coverage-improver Download link: https://github.com/zaziedlm/openai-agents-python/archive/main.zip#test-coverage-improver Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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