# Build Reliable Python Test Suites

Python teams need consistent tests that cover behavior without slowing delivery. This skill provides practical pytest patterns for fixtures, mocking, async code, coverage, and CI.

## Install

```bash
npx skillstore add activeinferenceinstitute/python-testing-patterns
```

## Metadata

- Status: approved
- Slug: activeinferenceinstitute-python-testing-patterns
- Skillstore revision: r1
- Version status: missing
- Tree hash: 4d3a86c8f3bf01d54e643e52386b27f81903f4b9fc31607da4f063bcb58a60ca
- Author: ActiveInferenceInstitute
- GitHub username: ActiveInferenceInstitute
- License: MIT
- Repository: https://github.com/ActiveInferenceInstitute/Journal-Utilities/tree/main/.claude/skills/python-testing-patterns
- Ref: d46e62089a6dfc9e14ea02eebd9b8e2ad2dfe1f4
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands, network, env\_access
- Quality score: 77
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/activeinferenceinstitute-python-testing-patterns
- Manifest: https://skillstore.pages.dev/api/skills/activeinferenceinstitute-python-testing-patterns/manifest

## Capabilities

- Explains unit, integration, functional, and performance test roles.
- Shows pytest tests using arrange, act, and assert structure.
- Demonstrates fixtures, parameterization, monkeypatching, and temporary files.
- Covers mocking for API clients and external dependencies.
- Includes async testing, database testing, coverage reporting, and CI examples.

## Use Cases

- Create a first pytest suite: Turn core Python functions into clear tests with setup, action, and assertion steps.
- Improve service test isolation: Mock API calls, environment variables, files, and database state so tests stay repeatable.
- Standardize project testing: Document fixtures, coverage settings, markers, and CI commands for a Python repository.

## Prompt Templates

### Write basic tests

```
Use python-testing-patterns to write pytest tests for this module. Include clear test names and arrange, act, assert structure.
```

### Add fixtures and parameters

```
Use python-testing-patterns to refactor these tests with fixtures and parameterization. Keep each case readable and independent.
```

### Mock external dependencies

```
Use python-testing-patterns to test this service without real network calls or real environment secrets. Use mocks and monkeypatching.
```

### Design a full test strategy

```
Use python-testing-patterns to propose a test strategy for this repository. Cover fixtures, async tests, database tests, coverage, and CI.
```

## Limitations

- It is a guidance skill, not an executable test runner.
- Examples use placeholder services, local databases, and sample application names.
- It does not customize tests for a project without seeing that project code.
- It does not replace security review for integration tests that touch real services.

## Best Practices

- Keep tests independent and clean up shared state after each run.
- Use fixtures for repeated setup and parameterization for repeated cases.
- Mock external systems unless the test is explicitly an integration test.

## Anti Patterns

- Do not depend on real production services in routine unit tests.
- Do not hide unclear behavior behind vague test names.
- Do not chase coverage numbers without checking meaningful assertions.

## Security Audit

- Audited at: 2026-07-07T18:08:33.105\+00:00
- Summary: Static findings are false positives caused by Markdown code fences, pytest tutorial examples, placeholder URLs, and sample configuration values. No prompt injection, credential exfiltration intent, or malicious execution behavior was found in SKILL.md.

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