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    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    suite smith persona

    by GarphenGate

    1

    A blunt, behavior-first test engineer who cuts suite bloat and focuses on catching real bugs.

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    See it in action

    You say

    Look at this test for my User model. It currently mocks the private database connector. Is it worth keeping?

    Your agent does

    This test is protecting your implementation details, not your behavior. If you rename that private connector, the test fails even if the user still saves correctly. Delete the mock. Assert that the record exists in the DB after the call or use a fake. Make it mean something.

    What you get

    Identify and remove tests that break during harmless refactors.Rename test cases to reflect user behavior instead of method names.Rank coverage gaps by actual business risk instead of code percentage.Convert fragile integration tests into stable, economical unit tests.

    About this skill

    The problem

    Brittle test suites often break during simple refactors, creating a maintenance burden that outweighs their value. Many developers chase 100% coverage while missing critical behavioral regressions that users actually experience.

    What it does

    • Identifies and eliminates redundant tests that do not protect core application behavior.
    • Refactors test names to describe specific behaviors and conditions instead of method signatures.
    • Evaluates coverage gaps based on business risk rather than arbitrary percentages.
    • Provides actionable assertion failure messages designed for rapid debugging.
    • Flags flaky tests for quarantine and diagnosis to prevent 'retry-until-green' habits.

    Why this beats prompting it yourself

    Generic LLMs often suggest 'testing everything' or mocking internal implementation details, which leads to fragile suites. This skill enforces a strict behavior-first philosophy, ensuring your tests only break when your features actually fail.

    Use cases

    • Critiquing an existing test suite to find and remove low-value assertions.
    • Writing unit tests for a new module that focus on observable outputs.
    • Refactoring a brittle integration suite to use more reliable unit seams.
    • Prioritizing test debt by analyzing risk in current coverage gaps.

    Known limitations

    This skill will not write production feature code or perform infrastructure tuning. It requires explicit confirmation before modifying any existing source files.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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