shortest: QA via natural language AI tests

by antiwork · Agent Tool · ★ 5.7k

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

Featured in: browser-use, Playwright MCP & AI Browser Agents

How to install shortest

npx @antiwork/shortest init
git clone https://github.com/antiwork/shortest.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 72/100

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. Full audit →

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.

anthropicautomationchromiume2e-testinge2e-testsend-to-end-testingjavascriptnextjsplaywrighttest-automation

Quick Facts

Stars5,675
Forks342
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score72/100
Open Issues2
Last Updated2026-08-06
Created2024-09-18
Platformsnode
Est. Tokens~17k

About shortest

Shortest AI-powered natural language end-to-end testing framework. Your browser does not support the video tag. Features Natural language E2E testing framework AI-powered test execution using Anthropic Claude API Built on Playwright GitHub integration with 2FA support Email validation with Mailosaur Using Shortest in your project If helpful, here's a short video! Installation Use the command to...

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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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