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 AIDC-AI · Agent Tool · ★ 4.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ComfyUI-Copilot safe to install? View the security audit →
中文 ｜ English 🎯 ComfyUI-Copilot: Your Intelligent Assistant for ComfyUI 👾 Alibaba International Digital Commerce 👾 https://github.com/user-attachments/assets/4b5806b8-dd34-4219-ac9f-6896115c5600 ⚠️ Service Update & Adjustment Notice Ki
| Stars | 4,901 |
| Forks | 303 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63.3546328176176/100 |
| Open Issues | 41 |
| Last Updated | 2026-04-07 |
| Created | 2025-02-14 |
| Platforms | node |
| Est. Tokens | ~11788k |
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ComfyUI-Copilot is An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance. It is categorized as a Agent Tool with 4.9k GitHub stars.
ComfyUI-Copilot is primarily written in TypeScript. It covers topics such as agent, ai, comfy-ui.
You can find installation instructions and usage details in the ComfyUI-Copilot GitHub repository at github.com/AIDC-AI/ComfyUI-Copilot. The project has 4.9k stars and 303 forks, indicating an active community.
ComfyUI-Copilot is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ComfyUI-Copilot on Agent Skills Hub include ComfyUI-Copilot, E2B, langroid. 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: