nodetool（nodetool 搜索） Skills下载安装命令和教程

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手，先确认命令和权限，再让它执行。

请帮我安装这个 Agent Skill：nodetool（nodetool 搜索）
来源仓库：https://github.com/georgi/nodetool
安装命令：
openclaw skills install nodetool
安装前请先检查当前环境是否支持对应 CLI，并向我确认将要执行的命令、安装目录、联网范围和文件读写权限；确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill；本站只展示命令，不托管安装包，也不自动执行。

ClawHubOpenClaw

openclaw skills install nodetool

简介

视觉 AI 工作流程构建器 - ComfyUI 满足 LLM 代理、RAG 管道和多模式数据流的 n8n 要求。本地优先、开源 (AGPL-3.0)。

SKILL.md

name: nodetool
description: Visual AI workflow builder - ComfyUI meets n8n for LLM agents, RAG pipelines, and multimodal data flows. Local-first, open source (AGPL-3.0).

NodeTool

Visual AI workflow builder combining ComfyUI's node-based flexibility with n8n's automation power. Build LLM agents, RAG pipelines, and multimodal data flows on your local machine.

Quick Start

# See system info
nodetool info

# List workflows
nodetool workflows list

# Run a workflow interactively
nodetool run <workflow_id>

# Start of chat interface
nodetool chat

# Start of web server
nodetool serve

Installation

Linux / macOS

Quick one-line installation:

curl -fsSL https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.sh | bash

With custom directory:

curl -fsSL https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.sh | bash --prefix ~/.nodetool

Non-interactive mode (automatic, no prompts):

Both scripts support silent installation:

# Linux/macOS - use -y
curl -fsSL https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.sh | bash -y

# Windows - use -Yes
irm https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.ps1 | iex; .\install.ps1 -Yes

What happens with non-interactive mode:

All confirmation prompts are skipped automatically
Installation proceeds without requiring user input
Perfect for CI/CD pipelines or automated setups

Windows

Quick one-line installation:

irm https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.ps1 | iex

With custom directory:

.\install.ps1 -Prefix "C:\
odetool"

Non-interactive mode:

.\install.ps1 -Yes

Core Commands

Workflows

Manage and execute NodeTool workflows:

# List all workflows (user + example)
nodetool workflows list

# Get details for a specific workflow
nodetool workflows get <workflow_id>

# Run workflow by ID
nodetool run <workflow_id>

# Run workflow from file
nodetool run workflow.json

# Run with JSONL output (for automation)
nodetool run <workflow_id> --jsonl

Run Options

Execute workflows in different modes:

# Interactive mode (default) - pretty output
nodetool run workflow_abc123

# JSONL mode - streaming JSON for subprocess use
nodetool run workflow_abc123 --jsonl

# Stdin mode - pipe RunJobRequest JSON
echo '{"workflow_id":"abc","user_id":"1","auth_token":"token","params":{}}' | nodetool run --stdin --jsonl

# With custom user ID
nodetool run workflow_abc123 --user-id "custom_user_id"

# With auth token
nodetool run workflow_abc123 --auth-token "my_auth_token"

Assets

Manage workflow assets (nodes, models, files):

# List all assets
nodetool assets list

# Get asset details
nodetool assets get <asset_id>

Packages

Manage NodeTool packages (export workflows, generate docs):

# List packages
nodetool package list

# Generate documentation
nodetool package docs

# Generate node documentation
nodetool package node-docs

# Generate workflow documentation (Jekyll)
nodetool package workflow-docs

# Scan directory for nodes and create package
nodetool package scan

# Initialize new package project
nodetool package init

Jobs

Manage background job executions:

# List jobs for a user
nodetool jobs list

# Get job details
nodetool jobs get <job_id>

# Get job logs
nodetool jobs logs <job_id>

# Start background job for workflow
nodetool jobs start <workflow_id>

Deployment

Deploy NodeTool to cloud platforms (RunPod, GCP, Docker):

# Initialize deployment.yaml
nodetool deploy init

# List deployments
nodetool deploy list

# Add new deployment
nodetool deploy add

# Apply deployment configuration
nodetool deploy apply

# Check deployment status
nodetool deploy status <deployment_name>

# View deployment logs
nodetool deploy logs <deployment_name>

# Destroy deployment
nodetool deploy destroy <deployment_name>

# Manage collections on deployed instance
nodetool deploy collections

# Manage database on deployed instance
nodetool deploy database

# Manage workflows on deployed instance
nodetool deploy workflows

# See what changes will be made
nodetool deploy plan

Model Management

Discover and manage AI models (HuggingFace, Ollama):

# List cached HuggingFace models by type
nodetool model list-hf <hf_type>

# List all HuggingFace cache entries
nodetool model list-hf-all

# List supported HF types
nodetool model hf-types

# Inspect HuggingFace cache
nodetool model hf-cache

# Scan cache for info
nodetool admin scan-cache

Admin

Maintain model caches and clean up:

# Calculate total cache size
nodetool admin cache-size

# Delete HuggingFace model from cache
nodetool admin delete-hf <model_name>

# Download HuggingFace models with progress
nodetool admin download-hf <model_name>

# Download Ollama models
nodetool admin download-ollama <model_name>

Chat & Server

Interactive chat and web interface:

# Start CLI chat
nodetool chat

# Start chat server (WebSocket + SSE)
nodetool chat-server

# Start FastAPI backend server
nodetool serve --host 0.0.0.0 --port 8000

# With static assets folder
nodetool serve --static-folder ./static --apps-folder ./apps

# Development mode with auto-reload
nodetool serve --reload

# Production mode
nodetool serve --production

Proxy

Start reverse proxy with HTTPS:

# Start proxy server
nodetool proxy

# Check proxy status
nodetool proxy-status

# Validate proxy config
nodetool proxy-validate-config

# Run proxy daemon with ACME HTTP + HTTPS
nodetool proxy-daemon

Other Commands

# View settings and secrets
nodetool settings show

# Generate custom HTML app for workflow
nodetool vibecoding

# Run workflow and export as Python DSL
nodetool dsl-export

# Export workflow as Gradio app
nodetool gradio-export

# Regenerate DSL
nodetool codegen

# Manage database migrations
nodetool migrations

# Synchronize database with remote
nodetool sync

Use Cases

Workflow Execution

Run a NodeTool workflow and get structured output:

# Run workflow interactively
nodetool run my_workflow_id

# Run and stream JSONL output
nodetool run my_workflow_id --jsonl | jq -r '.[] | "\(.status) | \(.output)"'

Package Creation

Generate documentation for a custom package:

# Scan for nodes and create package
nodetool package scan

# Generate complete documentation
nodetool package docs

Deployment

Deploy a NodeTool instance to the cloud:

# Initialize deployment config
nodetool deploy init

# Add RunPod deployment
nodetool deploy add

# Deploy and start
nodetool deploy apply

Model Management

Check and manage cached AI models:

# List all available models
nodetool model list-hf-all

# Inspect cache
nodetool model hf-cache

Installation

Linux / macOS

Quick one-line installation:

curl -fsSL https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.sh | bash

With custom directory:

curl -fsSL https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.sh | bash --prefix ~/.nodetool

Non-interactive mode (automatic, no prompts):

Both scripts support silent installation:

# Linux/macOS - use -y
curl -fsSL https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.sh | bash -y

# Windows - use -Yes
irm https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.ps1 | iex; .\install.ps1 -Yes

What happens with non-interactive mode:

All confirmation prompts are skipped automatically
Installation proceeds without requiring user input
Perfect for CI/CD pipelines or automated setups

Windows

Quick one-line installation:

irm https://raw.githubusercontent.com/nodetool-ai/nodetool/refs/heads/main/install.ps1 | iex

With custom directory:

.\install.ps1 -Prefix "C:\
odetool"

Non-interactive mode:

.\install.ps1 -Yes

What Gets Installed

The installer sets up:

micromamba — Python package manager (conda replacement)
NodeTool environment — Conda env at ~/.nodetool/env
Python packages — nodetool-core, nodetool-base from NodeTool registry
Wrapper scripts — nodetool CLI available from any terminal

Environment Setup

After installation, these variables are automatically configured:

# Conda environment
export MAMBA_ROOT_PREFIX="$HOME/.nodetool/micromamba"
export PATH="$HOME/.nodetool/env/bin:$HOME/.nodetool/env/Library/bin:$PATH"

# Model cache directories
export HF_HOME="$HOME/.nodetool/cache/huggingface"
export OLLAMA_MODELS="$HOME/.nodetool/cache/ollama"

System Info

Check NodeTool environment and installed packages:

nodetool info

Output shows:

Version
Python version
Platform/Architecture
Installed AI packages (OpenAI, Anthropic, Google, HF, Ollama, fal-client)
Environment variables
API key status

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明，方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用；具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

83.66%

按下载量换算24,603

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置，应进入高风险复核队列，默认不自动发布。

安装前确认

本站仅展示第三方公开信息，不托管安装包，不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果，不能写成本站确认安全。当前只有一个来源，正式发布前建议补源仓库或其他目录站核验。

来源信息

GitHub 仓库

github.com

/georgi/nodetool

SKILL.md 来源

clawhub.ai

/georgi/nodetool

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