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 ryantsai · MCP Server · ★ 495
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is KKTerm safe to install? View the security audit →
KKTerm One native Windows window for terminals, SSH, SFTP, RDP/VNC, and a dashboard — plus an AI that builds your own little tools on request. Because your taskbar shouldn't look like a Vegas slot machine. Named after 乖乖 (Kuāi Kuāi), the green coconut snack Taiwanese sysadmins place on servers to keep them well-behaved. We hope this app earns its place on the rack. Download the latest Windows installer (.exe) <img src="https://img.shields.io
| Stars | 495 |
| Forks | 60 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 55.80053492049/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-22 |
| Created | 2026-05-01 |
| Platforms | mcp, node |
| Est. Tokens | ~18k |
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KKTerm is Super-tool for vibe coders & system admins — terminals, SSH, SFTP, RDP/VNC, dashboards, install helpers, and a built-in AI assistant.. It is categorized as a MCP Server with 495 GitHub stars.
KKTerm is primarily written in TypeScript. It covers topics such as ai-tools, devops, local-first.
You can find installation instructions and usage details in the KKTerm GitHub repository at github.com/ryantsai/KKTerm. The project has 495 stars and 60 forks, indicating an active community.
The top alternatives to KKTerm on Agent Skills Hub include oxideterm, purple, octo-terminal-releases. 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: