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 zenbu-labs · Claude Skill · ★ 3.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is terminal-browser safe to install? View the security audit →
terminal-browser A real browser that runs inside your terminal Install (macOS & Linux): Usage Use cases: You can have a coding agent and website scoped to the same terminal tab Your agent has full access to interact with open terminal-browsers, which gives your agent the capability to use the web You can ask an agent to make HTML plans and them open them inside terminal-browser, which will automatically open in a split pane next to your agent terminal-browser works over SSH, which allows you to preview websites running on remote machines easily Shortcuts | Zoo
| Stars | 3,131 |
| Forks | 146 |
| Language | TypeScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 67.6582357446733/100 |
| Open Issues | 64 |
| Last Updated | 2026-09-19 |
| Created | 2026-07-06 |
| Platforms | browser, claude-code, cli, codex, node |
| Est. Tokens | ~15k |
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terminal-browser is A browser inside your terminal. It is categorized as a Claude Skill with 3.1k GitHub stars.
terminal-browser is primarily written in TypeScript. It covers topics such as browser, claude-code, claude-code-plugin.
You can find installation instructions and usage details in the terminal-browser GitHub repository at github.com/zenbu-labs/terminal-browser. The project has 3.1k stars and 146 forks, indicating an active community.
terminal-browser is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to terminal-browser on Agent Skills Hub include superset, pro-workflow, agent-of-empires. 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: