webqa-agent: Autonomous web browser agent that audits performance, functionality & UX for engineers and vibe-coding

by MigoXLab · AI Skill · ★ 232

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

How to install webqa-agent

uv add webqa-agent
git clone https://github.com/MigoXLab/webqa-agent.git

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

Security audit verdict: SAFE · quality 66/100

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.

agentbrowser-agente2ellmqaqa-agentregression-testingtest-generationvibe-codingvibe-testing

Quick Facts

Stars232
Forks22
LanguagePython
CategoryAI Skill
LicenseApache-2.0
Quality Score66/100
Open Issues19
Last Updated2026-07-02
Created2025-08-01
Platformsbrowser, cli, python
Est. Tokens~16k

About webqa-agent

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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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