No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ShaftHQ · MCP Server · ★ 412
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is SHAFT_ENGINE safe to install? View the security audit →
SHAFT Java 25 automation framework for Web, Mobile, API, CLI, and Database testing. SHAFT is a Maven-published test automation engine with one fluent API for synchronized actions, assertions, configuration, test data, reporting, evidence, and optional agent-assisted workflows. User Guide · Quick Start · Architecture · Contribute What SHAFT Provides Web, mobile, API, CLI, database, validati
| Stars | 412 |
| Forks | 154 |
| Language | Java |
| Category | MCP Server |
| License | MIT |
| Quality Score | 61.5573255707951/100 |
| Open Issues | 8 |
| Last Updated | 2026-10-04 |
| Created | 2018-07-15 |
| Platforms | browser, cli, java, mcp |
| Est. Tokens | ~17k |
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SHAFT_ENGINE is Java test automation framework for web, mobile, API, CLI, database, and desktop E2E testing with a fluent API and built-in reporting.. It is categorized as a MCP Server with 412 GitHub stars.
SHAFT_ENGINE is primarily written in Java. It covers topics such as automation, automation-engine, e2e-testing.
You can find installation instructions and usage details in the SHAFT_ENGINE GitHub repository at github.com/ShaftHQ/SHAFT_ENGINE. The project has 412 stars and 154 forks, indicating an active community.
SHAFT_ENGINE is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to SHAFT_ENGINE on Agent Skills Hub include flutter-skill, rulego, xiaozhi-esp32-server-java. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: