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 HuangYuChuh · MCP Server · ★ 395
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ComfyUI_Skills_OpenClaw safe to install? View the security audit →
ComfyUI Skills for OpenClaw ▶ Demo Video (Bilibili) This project is a ComfyUI skill integration layer for OpenClaw, Codex, and Claude Code. It turns the workflows you build and export from ComfyUI in API format into callable skills that these agents can trigger with natural language. It converts natural language requests into structured skill arguments, maps them to ComfyUI workflow inputs, submits jobs to ComfyUI, waits for completion, then pulls generated images back to local disk. For the upstream ComfyUI local server routes that back this skill, see docs/comfyui-native-routes.md. Features Workflow-to-Skill Conversion Turn your ComfyUI workflows into skills that OpenClaw, Codex, or Claude Code can call directly Set up parameters in three steps: upload a workflow, pick the nodes to expose, then name and describe each parameter Input nodes are detected automatically from the workflow — no need to hunt through the JSON by hand When you update a workflow, preview the parameter changes first and carry over existing mappings Supports bulk workflow import from a ComfyUI server or local JSON files Multi-Server Management Manage multiple ComfyUI servers and route jobs
| Stars | 395 |
| Forks | 36 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73.200967629919/100 |
| Last Updated | 2026-08-26 |
| Created | 2026-03-06 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~17k |
These tools work well together with ComfyUI_Skills_OpenClaw for enhanced workflows:
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ComfyUI_Skills_OpenClaw is Agent-friendly ComfyUI workflow skills for OpenClaw, Hermes Agent, Codex, and Claude Code; complementary to Comfy official local MCP.. It is categorized as a MCP Server with 395 GitHub stars.
ComfyUI_Skills_OpenClaw is primarily written in Python. It covers topics such as agentskills, ai-agent, ai-art.
You can find installation instructions and usage details in the ComfyUI_Skills_OpenClaw GitHub repository at github.com/HuangYuChuh/ComfyUI_Skills_OpenClaw. The project has 395 stars and 36 forks, indicating an active community.
ComfyUI_Skills_OpenClaw is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ComfyUI_Skills_OpenClaw on Agent Skills Hub include comfyui-mcp, comfy-pilot, comfyui-mcp-panel. 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: