Run pytest tests and generate concise failure summaries with patch hints.
npx skills add https://github.com/karimatayuta/graph-vector-rag --skill test-karimatayuta
Please help me install this Agent Skill. Skill: test Source: https://github.com/karimatayuta/graph-vector-rag/tree/main/.claude/skills/test Command: npx skills add https://github.com/karimatayuta/graph-vector-rag --skill test-karimatayuta
This Skill helps developers run pytest tests, analyze failures quickly, and propose fixes to improve code quality and test reliability.
Run the test suite for your Python project, review the failing tests, and generate actionable fix recommendations.
High-intent search queries and answers about installing and using this skill.
To analyze pytest failures, run your test suite and the tool will identify failing tests, generating concise failure summaries to guide debugging and suggest actionable fixes. It evaluates unit, integration, and end-to-end suites to produce clear remediation steps.
Yes, pytest test analysis works with pytest-asyncio across unit, integration, and end-to-end test suites. It diagnoses failures and provides guidance for flaky or invalid tests within your Python project's testing environment.
The best way to diagnose flaky or invalid pytest tests is to run the test analyzer, which identifies failing tests and provides specific guidance for flaky or invalid tests, outputting concise failure summaries and patch hints to fix them.
You need Python 3.13+ and a valid test setup to run pytest test analysis and generate patch hints. Satisfying these environment prerequisites allows the tool to execute tests and provide actionable recommendations.
Your pytest tests may be failing due to code errors, flaky tests, or invalid test setups. Run the test analyzer to identify failing tests, generate concise failure summaries, and receive actionable recommendations and patch hints to resolve them.
Yes, you can integrate pytest test debugging into REPL or automation scripts to streamline debugging workflows. This allows you to run tests, analyze failures, and generate fix recommendations directly within your Python project environment.
Neko1313Generate pytest test suites for FastAPI/SQLAlchemy projects with testcontainers.
heysuhasEnforce a red-green-refactor TDD cycle with pytest in Python projects.
mifunedevRun and verify FastAPI backend tests with pytest and pytest-asyncio.
Vasallo94Run and debug Python test suites with pytest and uv.
