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    Flaky Test Detective for AI Coding Agents

    by Shandra

    Diagnoses unreliable tests, identifies root causes, creates stabilization plans, and generates safe AI coding prompts for fixing flaky unit, integration, E2E, and CI tests.

    $9.99

    /mo

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    • Always the latest version
    • Delivered live to your agent via MCP
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    About this skill

    Flaky Test Detective helps AI coding agents, developers, QA engineers, CI/CD teams, SaaS builders, and test automation teams investigate unreliable tests that pass and fail inconsistently. It analyzes flaky unit tests, integration tests, E2E tests, Playwright tests, Cypress tests, Selenium tests, Jest tests, Vitest tests, pytest tests, browser tests, API tests, database tests, and CI-only failures. The skill creates root cause hypotheses, failure pattern reports, async timing audits, selector stability reviews, test isolation plans, mock leakage checks, database cleanup reviews, CI environment comparisons, stabilization roadmaps, QA tickets, verification plans, and paste-ready prompts for Cursor, Claude Code, Codex CLI, OpenCode, Replit, and ChatGPT Agents. It is designed to restore trust in test suites by fixing real causes instead of hiding failures with retries, arbitrary sleeps, skipped tests, or weakened assertions.

    How to install

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

    Details

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    Security Scanned

    Passed automated security review

    Permissions

    Browser
    Environment Variables
    Terminal / Shell
    Write Files
    Read Files

    File Scopes

    *.md
    *.txt
    *.json
    *.yaml
    *.yml
    *.log
    README.md
    src/**
    app/**
    server/**
    api/**
    tests/**
    test/**
    spec/**
    cypress/**
    playwright/**
    fixtures/**
    mocks/**
    __mocks__/**
    config/**
    docs/**
    package.json
    playwright.config.*
    cypress.config.*
    jest.config.*
    vitest.config.*
    __tests__/**

    This skill uses file access to read user-provided test files, logs, CI output, traces, screenshots descriptions, mocks, fixtures, configuration files, package manifests, README files, and project notes. It uses write access to create structured Markdown/text outputs such as flaky test diagnosis reports, stabilization plans, CI-only failure investigations, E2E flake reports, reliability audits, QA tickets, AI coding prompts, verification plans, and SKILL.md files. Terminal access is optional and should only be enabled when the agent is expected to run tests, reproduce failures, or validate repeated test runs. Browser or network access is only needed for external framework documentation research. Environment variable access is not normally required, and secret values should never be exposed.

    Creator

    Shandra is a top-ranked AI prompt creator and premium agent skill builder with an established track record in the AI marketplace. She is recognized as a #1 Top Seller on PromptBase, where she has built a trusted catalog of specialized AI prompts and agent skills for creators, entrepreneurs, educators, marketers, digital product sellers, and business professionals. With over 3,500 AI products published, more than 3,400 sales, and 1,000+ five-star reviews, Shandra has become known for creating practical, polished, and commercially useful AI resources that help users save time, organize complex ideas, generate high-quality content, build digital products, and transform creative concepts into actionable workflows. Her Agensi store focuses on premium, ready-to-use agent skills designed for real-world productivity. Each skill is developed with clear instructions, structured workflows, professional formatting, practical use cases, setup guidance, examples, edge-case handling, and a strong emphasis on usability. Her work combines creative strategy, prompt engineering, documentation design, business thinking, and practical automation into reliable tools that users can apply immediately. Shandra’s mission is to create AI skills that feel professional, useful, and complete from the first use — not generic templates, but carefully built workflow systems that help users think better, work faster, and produce stronger results.

    Frequently Asked Questions

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