test-coverage-improver Skill
Improve test coverage in the OpenAI Agents Python repository: run make coverage, inspect coverage artifacts, identify low-coverage files, propose high-impact tests, and confirm with the user before writing tests. Published by openai in openai-agents-python.
What is test-coverage-improver Skill?
Improve test coverage in the OpenAI Agents Python repository: run make coverage, inspect coverage artifacts, identify low-coverage files, propose high-impact tests, and confirm with the user before writing tests. Published by openai in openai-agents-python. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Testing
- Data analysis
- Writing
- Testing use cases
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use test-coverage-improver Skill
- Use it for testing.
- Use it for data analysis.
- Use it for writing.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/openai-agents-python
- Skill file: .agents/skills/test-coverage-improver/SKILL.md
What it does
Improve test coverage in the OpenAI Agents Python repository: run make coverage, inspect coverage artifacts, identify low-coverage files, propose high-impact tests, and confirm with the user before writing tests.
Skill instructions
Test Coverage Improver Overview 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. Quick Start 1. From the repo root run make coverage to regenerate .coverage data and coverage.xml. 2. Collect artifacts: .coverage and coverage.xml, plus the console output from coverage report -m for drill-downs. 3. Summarize coverage: total percentages, lowest files, and uncovered lines/paths. 4. Draft test ideas per file: scenario, behavior under test, expected outcome, and likely coverage gain. 5. Ask the user for approval to implement the proposed tests; pause until they agree. 6. After approval, write the tests in tests/, rerun make coverage, and then run $code-change-verification before marking work complete. Workflow Details - Run coverage: Execute m
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Frequently asked questions
What is test-coverage-improver?
test-coverage-improver is a open-source AI agent skill with Copy skill directory. Improve test coverage in the OpenAI Agents Python repository: run make coverage, inspect coverage artifacts, identify low-coverage files, propose high-impact tests, and confirm with the user.
Who is test-coverage-improver best for?
test-coverage-improver is best for reusing agent instructions, scripts, and references, testing workflows, data analysis workflows, writing workflows.
How do I install test-coverage-improver?
Install or run test-coverage-improver using Copy skill directory. Check test-coverage-improver for the latest setup command.
Is test-coverage-improver actively maintained?
test-coverage-improver may need a closer maintenance check before production use.
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