by agentrhq · Agent Tool · ★ 2.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install -g @agentrhq/webcmdTaken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 2,694 |
| Forks | 1,543 |
| Language | TypeScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 65/100 |
| Open Issues | 50 |
| Last Updated | 2026-09-25 |
| Created | 2026-07-02 |
| Platforms | browser, cli, node |
| Est. Tokens | ~15k |
Webcmd Self-learning browser infra for AI agents. Webcmd learns the navigational context of websites as agents use them, then turns that knowledge into local memory for faster, cheaper, more reliable browser automation. The goal is simple: stop making agents rediscover the same sites on every run a
Looking for a webcmd alternative? If you're comparing webcmd with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Open source and self-hostable browser automation library for AI agents
Browser automation and computer use for AI agents. One CLI and MCP server for your signed-in browser, native m
The agent that turns websites into APIs!
Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-callin
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
🔥 Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser sandbox that le
Explore other popular agent tool tools:
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: