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 xuliang2024 · MCP Server · ★ 190
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cutcli-cookbook safe to install? View the security audit →
cutcli-cookbook Open-source cookbook, JSON templates, AI prompts, and docs for cutcli — the CapCut / Jianying (剪映) draft CLI. Generate editable video drafts from code, Cursor, Claude Code or any MCP agent. English · 简体中文 cutcli generates standard CapCut / Jianying drafts that the desktop app can open directly. This repo collects ready-to-run examples, reusable JSON templates, AI prompts, and the official documentation source. Contributions welcome. 30-second start bash Install cutcli curl -s https://cutcli.com/c
| Stars | 190 |
| Forks | 10 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.8592926559188/100 |
| Last Updated | 2026-05-26 |
| Created | 2026-04-19 |
| Platforms | claude-code, cli, mcp, node |
| Est. Tokens | ~32k |
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cutcli-cookbook is Cookbook, JSON templates, AI prompts and docs for cutcli — the CapCut / Jianying (剪映) draft CLI. Generate editable video drafts from code, Cursor, Claude Code or any MCP agent.. It is categorized as a MCP Server with 190 GitHub stars.
cutcli-cookbook is primarily written in JavaScript. It covers topics such as ai-agent, ai-video, capcut.
You can find installation instructions and usage details in the cutcli-cookbook GitHub repository at github.com/xuliang2024/cutcli-cookbook. The project has 190 stars and 10 forks, indicating an active community.
cutcli-cookbook is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cutcli-cookbook on Agent Skills Hub include kinocut, mcp-video, capcut-cli. 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: