Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by lamngockhuong · Codex Skill · ★ 58
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is termote safe to install? View the security audit →
<img src="https://img.shields.io/badge/PWA-ready-5A0FC8?style=
| Stars | 58 |
| Forks | 10 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68.6299539492948/100 |
| Open Issues | 17 |
| Last Updated | 2026-10-04 |
| Created | 2026-03-20 |
| Platforms | browser, claude-code, cli, codex, node |
| Est. Tokens | ~19k |
Looking for a termote alternative? If you're comparing termote with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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termote is Self-hosted PWA to control Claude Code, Codex, GitHub Copilot or any terminal from your phone or desktop. Single Go binary streaming tmux/psmux/Herdr sessions to xterm.js, native or in a container.. It is categorized as a Codex Skill with 58 GitHub stars.
termote is primarily written in TypeScript. It covers topics such as ai-coding-agent, claude-code, cli.
You can find installation instructions and usage details in the termote GitHub repository at github.com/lamngockhuong/termote. The project has 58 stars and 10 forks, indicating an active community.
termote is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to termote on Agent Skills Hub include run-kit, hexokit, nexus4cc. 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: