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    Flaky Test Root-Cause Analyzer

    1

    Diagnose nondeterministic test failures and race conditions with a structured 25-step technical audit.

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    See it in action

    You say

    Investigate why this Cypress test fails intermittently in CI with a timeout error, but only when running in parallel with the billing suite. [logs attached]

    Your agent does

    Verdict: Material flakiness risk (Score: 62/100). Root Cause: Test-order dependence. The billing suite leaves a global mock active that interferes with the auth flow. Remediation: Move mock restoration to a global teardown hook and implement a unique tenant ID for each worker.

    What you get

    Identify race conditions and timing assumptions in asynchronous codeDetect state leaks between tests running in parallel workersPinpoint environment-specific failures caused by timezone or locale driftGenerate a 100-point stability score for release gate decisions

    About this skill

    The problem

    Intermittent test failures waste developer time, break CI pipelines, and hide real regressions. Traditional debugging often leads to blind retries or mutes that don't address the underlying race conditions or state leaks.

    What it does

    • Reconstructs failure patterns by analyzing logs, traces, and environment variables across passing and failing runs.
    • Identifies root causes across 17 categories including shared mutable state, timing assumptions, and resource contention.
    • Ranks hypotheses based on evidence to distinguish between probable causes and weak correlations.
    • Provides a concrete reproduction plan and remediation steps without making destructive code changes.
    • Calculates a 100-point stability score to determine if a test is safe for release gates.

    Why this beats prompting it yourself

    General LLMs often suggest simple timeouts or retries. This tool follows a 25-step technical audit that systematically checks for subtle issues like clock boundaries, database isolation levels, and worker reuse that are easily missed in manual reviews.

    Use cases

    • Diagnosing CI-only failures that cannot be replicated on local developer machines.
    • Analyzing order-dependent test failures caused by incomplete cleanup or state leaks.
    • Evaluating whether a flaky test should block a production release or be quarantined.
    • Identifying synchronization issues in complex UI and browser-based integration tests.

    Known limitations

    Analysis only. This tool does not execute tests, modify source code, or fix infrastructure directly. It requires existing logs, traces, or code snippets to perform a diagnosis.

    How to install

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

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