This skill analyzes test coverage results, identifies gaps, proposes high-impact tests, and coordinates approval before implementation.
npx playbooks add skill openai/openai-agents-python --skill test-coverage-improver
The Test Coverage Improver analyzes test coverage results to identify gaps and proposes high-impact tests to improve coverage, coordinating approval before implementation to ensure effective testing. This skill connects to testing frameworks and enables developers to strengthen their test suites. A developer would reach for this tool when they need to enhance the comprehensiveness of their tests and ensure that their code is thoroughly validated.
At 16 words, this compact prompt gives your agent specialized testing & qa expertise with structured patterns and output formats. Install via CLI or copy the prompt below.
This skill analyzes test coverage results, identifies gaps, proposes high-impact tests, and coordinates approval before implementation.
Test Coverage Improver is a free testing & qa skill for AI coding agents. This skill analyzes test coverage results, identifies gaps, proposes high-impact tests, and coordinates approval before implementation.. It provides a specialized system prompt that configures your agent with testing & qa expertise.
Run npx playbooks add skill openai/openai-agents-python --skill test-coverage-improver in your terminal to install Test Coverage Improver into your Claude Code session. It works immediately after installation.
Test Coverage Improver is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Test Coverage Improver is completely free and open source. The full source is available on GitHub at https://github.com/openai/openai-agents-python/tree/main/.codex/skills/test-coverage-improver. You only need a subscription to the AI agent you use it with.
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