by ShaftHQ
Java test automation framework for web, mobile, API, CLI, database, and desktop E2E testing with a fluent API and built-in reporting.
# Add to your Claude Code skills
git clone https://github.com/ShaftHQ/SHAFT_ENGINEGuides for using mcp servers skills like SHAFT_ENGINE.
Last scanned: 6/23/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-06-23T07:49:19.138Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how SHAFT_ENGINE compares with popular alternatives.
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 410 GitHub stars.
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.
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).
SHAFT_ENGINE is primarily written in Java. It is open-source under ShaftHQ on GitHub, so you can review or fork the full source.
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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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
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.
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.
chaos-engine/skills/local-agency (dispatch.py --prefer freetoken or OpenAI-compat on :8080).http://127.0.0.1:8000 is READY; not the default on 6GB VRAM laptops.chaos-engine/README.md.Open the SHAFT landing page and generate a ready-to-run Maven project.
Extract it and run:
mvn test
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.
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 need | What SHAFT provides |
|---|---|
| Stable UI automation | Managed Selenium and Appium drivers, synchronized actions, locator builders, screenshots, and accessibility evidence. |
| End-to-end coverage | REST, GraphQL, Database, CLI, and native desktop actions in the same test flow. |
| Trustworthy verdicts | Hard and soft assertions, structured logs, attachments, failure context, and Allure reports. |
| Scalable execution | Configuration-first local, Grid, BrowserStack, LambdaTest, TestNG, JUnit, and Cucumber runs. |
| Maintainable architecture | A focused engine, BOM-aligned optional modules, public extension points, and reusable test assets. |
| Assisted workflows | Capture, Doctor, deterministic Heal, MCP/CLI tools, provider adapters, and an IntelliJ IDEA plugin. |
shaft-engine, then adopt visual, video,
cloud, native, or agentic modules without rebuilding the test architecture.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.
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.