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write-tests

Write tests for project code using either real code tests or mock-up tests. Use when creating or updating tests, default to real code tests unless the user explicitly asks for mock-up tests.

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X-School-Academy/skill-pilot
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مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

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SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
write-tests
description
Write tests for project code using either real code tests or mock-up tests. Use when creating or updating tests, default to real code tests unless the user explicitly asks for mock-up tests.
# AI Builder - Write Tests Write tests for project code using the correct test style for the task. ## When to Use This Skill - The user asks to create or update tests - A function, module, or feature should be validated - The user wants a unit test or integration-style code test - Existing tests should be rewritten to match project testing rules ## Your Roles in This Skill - **QA Engineer**: Define what behavior should be validated and choose the right test type - **Backend Developer**: Trace the actual code path and implement the test cleanly - **Technical Writer**: Keep test names, output, and assertions readable ## Role Communication As an expert in your assigned roles, you must announce your actions before performing them using the following format: As a {Role} [and {Role}, ...], I will {action description} This communication pattern ensures transparency and allows for human-in-the-loop oversight at key decision points. ## Instructions Follow these steps in order. ### Step 1: Choose the test type - If the user explicitly says `mock`, `mock up`, `mock-up`, `monkeypatch`, `stub`, or otherwise asks for fake/test-double-based testing, use **mock-up test** - If the user does not explicitly ask for mock-up testing, default to **real code test** - If the correct test type is unclear, choose **real code test** ### Step 2: For Python code, place tests in the standard location - For Python code under `core/engine`, write pytest tests under `core/engine/tests` - Use `pytest` for Python tests - Name a function test as `test_function_name` ### Step 3: Follow the matching reference - For **real code test**, refer to `references/real-code-test.md` - For **mock-up test**, refer to `references/mock-up-test.md` ### Step 4: Verify and report clearly - Run the relevant test target after editing - Print raw output in the test when the function or flow returns useful runtime details - Ensure the chosen test runner invocation does not hide stdout when raw output should be inspected - If the task needs output files, write them under `.skillpilot/tests` at the project root - Report what was verified and what still depends on live external systems ## Expected Output - A new or updated test file using the correct test style - Python tests under `core/engine/tests` when testing `core/engine` - Clear test names such as `test_function_name` - Raw output printed when it helps inspect real behavior - Any generated test output files stored under `.skillpilot/tests` ## Key Principles - Default to real code tests - Only use mock-up tests when the user explicitly asks - Use pytest for Python tests in `core/engine/tests` - Keep test names simple and direct - Print raw output when inspecting behavior is part of the test goal ## Common Issues - Wrong default: if the user did not explicitly ask for mock-up testing, use real code tests - Wrong location for Python tests: place `core/engine` Python tests under `core/engine/tests` - Hidden stdout in pytest: use a runner mode that shows raw output when the user wants to inspect it ## References - For real code tests, refer to `references/real-code-test.md` - For mock-up tests, refer to `references/mock-up-test.md`
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