Summary
When you need to actually move the coverage needle rather than just stare at red percentages, this skill runs `make coverage`, parses the output and XML artifacts, then surfaces the lowest hanging fruit in your codebase. It prioritizes public APIs and risky paths over examples, drafts specific test scenarios with expected gains, and crucially asks for your approval before writing anything. The workflow is thorough: propose tests, wait for confirmation, implement them in `tests/`, rerun coverage, and verify changes. It's opinionated about what matters (error cases and combinational logic over happy paths) and won't let you merge without seeing the new numbers.
Install to Claude Code
npx -y skills add openai/openai-agents-python --skill test-coverage-improver --agent claude-codeInstalls into .claude/skills of the current project.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
