No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by citrolabs · Codex Skill · ★ 16.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ego-lite safe to install? View the security audit →
The best browser for both you and your AI agents work in parallel. ego (lite) is a browser where you and your AI agents work in parallel. Your agents run multiple browser tasks in their own Spaces while your tabs stay yours, and tasks complete faster on fewer tokens. Existing tools like browser-use and agent-br
| Stars | 16,426 |
| Forks | 872 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68.7365810634929/100 |
| Open Issues | 170 |
| Last Updated | 2026-09-23 |
| Created | 2026-04-16 |
| Platforms | browser, claude-code, codex, node |
| Est. Tokens | ~15k |
These tools work well together with ego-lite for enhanced workflows:
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ego-lite is The fastest browser for AI agents to run browser automation, built for sharing your logged-in browser state with your AI agents, like Codex or Claude Code, without disturbing you. Zero cost, zero conf. It is categorized as a Codex Skill with 16.4k GitHub stars.
ego-lite is primarily written in JavaScript. It covers topics such as agent-skills, ai-agent, automation.
You can find installation instructions and usage details in the ego-lite GitHub repository at github.com/citrolabs/ego-lite. The project has 16.4k stars and 872 forks, indicating an active community.
ego-lite is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ego-lite on Agent Skills Hub include cherry-studio, awesome-claude-skills, refly. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: