test-automation-skills-agents: A practical library of agents, instructions, and skills designed specifically for QA Automation Engineers

by fugazi · Agent Tool · ★ 255

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install test-automation-skills-agents

npx skills add https://github.com/fugazi/test-automation-skills-agents --skill playwright-e2e-testing
npx skills add https://github.com/fugazi/test-automation-skills-agents --skill a11y-playwright-testing

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 74/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentsaiai-agentsai-instructionsai-skillsqa-automationskillstest-automation

Quick Facts

Stars255
Forks50
LanguageJava
CategoryAgent Tool
LicenseMIT
Quality Score74/100
Last Updated2026-10-26
Created2026-02-09
Platformsjava
Est. Tokens~20k

About test-automation-skills-agents

Test Automation AI Agents & Skills (Tool-Agnostic) 🚀 A practical library of agents, instructions, and skills designed specifically for QA Automation Engineers, focusing on production-oriented solutions. This repository is tool-agnostic by design: the concepts and content can be used with GitHub Copilot, Claude, Cursor, OpenCode, Windsurf, and similar AI assistants.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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