HyperAgent: AI Browser Automation

by hyperbrowserai · Agent Tool · ★ 1.6k

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

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.

agentaiautomationchromellmplaywrightweb

Quick Facts

Stars1,594
Forks209
LanguageTypeScript
CategoryAgent Tool
Quality Score66/100
Open Issues26
Last Updated2026-05-11
Created2025-04-14
Platformsbrowser, node
Est. Tokens~17k

About HyperAgent

Intelligent Browser Automation with LLMs Overview Hyperagent is Playwright supercharged with AI. No more brittle scripts, just powerful natural language commands. Just looking for scalable headless browsers or scraping infra? Go to Hyperbrowser to get started for free! View HyperAgent docs here: https://www.hyperbrowser.ai/docs/hyperagent/introduction Features 🤖 AI Commands: Simple APIs like ,...

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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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