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 lidge-jun · MCP Server · ★ 208
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cli-jaw safe to install? View the security audit →
CLI-JAW Your personal AI agent. 2 lines to install. 13 AI runtime surfaces in one dashboard. English / 한국어 / 中文 / 日本語 Install Safe install — for existing users who want minimal changes Windows users should use the WSL install path below. Native PowerShell is not the supported CLI-JAW install target. That's it. Open http://localhost:24576 for the manager dashboard. Per-instance agent Web UIs still run from http://localhost:3457 when you start . Requires Node.js 22.4+.
| Stars | 208 |
| Forks | 33 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.5219920813333/100 |
| Open Issues | 24 |
| Last Updated | 2026-09-22 |
| Created | 2026-02-25 |
| Platforms | claude-code, cli, codex, gemini, mcp, node |
| Est. Tokens | ~21k |
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cli-jaw is 🦈 2-line install personal AI assistant. 11 AI runtime surfaces (Claude, Codex, Cursor, Gemini, Grok, Antigravity, OpenCode, Copilot), 200+ skills, zero ban risk.. It is categorized as a MCP Server with 208 GitHub stars.
cli-jaw is primarily written in TypeScript. It covers topics such as ai, assistant, automation.
You can find installation instructions and usage details in the cli-jaw GitHub repository at github.com/lidge-jun/cli-jaw. The project has 208 stars and 33 forks, indicating an active community.
cli-jaw is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cli-jaw on Agent Skills Hub include Overture, agnix, agentsys. 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: