Use this skill whenever coverage needs assessment or improvement (coverage regressions, failing thresholds, or user requests for stronger tests). It runs the coverage suite, analyzes results, highlights the biggest gaps, and prepares test additions while confirming with the user before changing code.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontest-coverage-improverExecute the skills CLI command in your project's root directory to begin installation:
Fetches test-coverage-improver from openai/openai-agents-python and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate test-coverage-improver. Access via /test-coverage-improver in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Use this skill whenever coverage needs assessment or improvement (coverage regressions, failing thresholds, or user requests for stronger tests). It runs the coverage suite, analyzes results, highlights the biggest gaps, and prepares test additions while confirming with the user before changing code.
make coverage to regenerate .coverage data and coverage.xml..coverage and coverage.xml, plus the console output from coverage report -m for drill-downs.tests/, rerun make coverage, and then run $code-change-verification before marking work complete.make coverage at repo root. Avoid watch flags and keep prior coverage artifacts only if comparing trends.coverage report -m for file-level totals; fallback to coverage.xml for tooling or spreadsheets.uv run coverage html to generate htmlcov/index.html if you need an interactive drill-down.src/agents/ before examples or docs.tests/ and avoid flaky async timing.scripts/, references/, or assets/ unless needed later.pnpm test:coverage instead of guessing.Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Registry listing for test-coverage-improver matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for test-coverage-improver matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: test-coverage-improver is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: test-coverage-improver is focused, and the summary matches what you get after install.
test-coverage-improver fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for test-coverage-improver matched our evaluation — installs cleanly and behaves as described in the markdown.
test-coverage-improver has been reliable in day-to-day use. Documentation quality is above average for community skills.
test-coverage-improver is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: test-coverage-improver is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: test-coverage-improver is the kind of skill you can hand to a new teammate without a long onboarding doc.
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