SHAFT_ENGINE

by ShaftHQVerified

Java test automation framework for web, mobile, API, CLI, database, and desktop E2E testing with a fluent API and built-in reporting.

405
Stars
152
Forks
Java
Language
8/23/2026
Added
View on GitHubDownload ZIP

⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

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Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/ShaftHQ/SHAFT_ENGINE

Getting Started

Guides for using skills like SHAFT_ENGINE.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

SHAFT S logo

SHAFT

Reliable Java test automation, from first intent to production-grade evidence.

One strong, maintainable framework for Web, Mobile, API, CLI, Database, and native testing—with synchronized actions, configuration-first execution, readable assertions, and unified reports.

Maven Central Build Stars User guide

Generate your first project · Explore the user guide · Star SHAFT on GitHub ⭐

SHAFT removes the repeated plumbing around drivers, waits, assertions, configuration, test data, screenshots, logs, and Allure evidence. Its modular Maven reactor keeps the core lean and lets teams add advanced tooling only when they need it.

From zero to useful evidence

  1. Open the SHAFT landing page and generate a ready-to-run Maven project.

  2. Extract it and run:

    mvn test
    
  3. Inspect the sample result, screenshots, logs, and Allure evidence.

The generated project uses the canonical Maven coordinate io.github.shafthq:shaft-engine and gives you a repeatable baseline for local runs and CI.

One orchestration layer, every execution surface

Test intent and configuration enter SHAFT's orchestration layer, fan out across the required execution surfaces, and return through one unified evidence flow.

flowchart LR
    accTitle: SHAFT execution and evidence workflow
    accDescr: Test intent and configuration enter SHAFT orchestration, run across Web, Mobile, API, and Native execution surfaces, and produce unified evidence.
    I[Test intent] --> S[SHAFT orchestration]
    C[Configuration] --> S
    S --> W[Web]
    S --> M[Mobile]
    S --> A[API]
    S --> N[Native, CLI, and Database]
    W --> E[Unified evidence]
    M --> E
    A --> E
    N --> E
Engineering needWhat SHAFT provides
Stable UI automationManaged Selenium and Appium drivers, synchronized actions, locator builders, screenshots, and accessibility evidence.
End-to-end coverageREST, GraphQL, Database, CLI, and native desktop actions in the same test flow.
Trustworthy verdictsHard and soft assertions, structured logs, attachments, failure context, and Allure reports.
Scalable executionConfiguration-first local, Grid, BrowserStack, LambdaTest, TestNG, JUnit, and Cucumber runs.
Maintainable architectureA focused engine, BOM-aligned optional modules, public extension points, and reusable test assets.
Assisted workflowsCapture, Doctor, deterministic Heal, MCP/CLI tools, provider adapters, and an IntelliJ IDEA plugin.

Built for long-lived automation suites

  • Strong defaults, explicit control. Sensible behavior gets teams moving; configuration keeps environments and CI reproducible.
  • Modular by design. Start with shaft-engine, then adopt visual, video, cloud, native, or agentic modules without rebuilding the test architecture.
  • Evidence is part of execution. Logs, screenshots, attachments, and reports share one lifecycle instead of becoming after-the-fact glue.
  • Open and inspectable. SHAFT is MIT licensed, built in public, and guarded by its pull-request gate, security policy, and published release history.

Agent-ready, source-grounded

SHAFT ships 30 first-party skills for planning, authoring, running, diagnosing, and reporting tests. Start with $shaft-developer; it routes the immediate job to one focused specialist. Exact MCP names and CLI syntax are generated from source in shaft-mcp-tools.md and shaft-cli-commands.md.

Join the project

BrowserStack, LambdaTest, Applitools, and JetBrains have provided tooling or open-source program support. This is support for the project, not a claim of financial sponsorship, customer status, or endorsement.

SHAFT is free and MIT licensed. You can support ongoing maintenance, documentation, and public infrastructure through GitHub Sponsors.

MIT licensed — see LICENSE.

Frequently Asked Questions

What is SHAFT_ENGINE?

SHAFT_ENGINE is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by ShaftHQ. Java test automation framework for web, mobile, API, CLI, database, and desktop E2E testing with a fluent API and built-in reporting. It has 405 GitHub stars.

Is SHAFT_ENGINE safe to use?

Yes. SHAFT_ENGINE passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install SHAFT_ENGINE?

Clone the repository with "git clone https://github.com/ShaftHQ/SHAFT_ENGINE" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is SHAFT_ENGINE written in?

SHAFT_ENGINE is primarily written in Java. It is open-source under ShaftHQ on GitHub, so you can review or fork the full source.

Are there alternatives to SHAFT_ENGINE?

Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh SHAFT_ENGINE against similar tools.

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