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Agent Skill · 开发

comfyui-runninghub(comfyui 跑步中心)

comfyui-runninghub 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

comfyui-runninghub 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 5,603。

总安装 6,048周安装 252GitHub Stars 公开资料未说明下载 2,016核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.1

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:comfyui-runninghub(comfyui 跑步中心)
来源仓库:https://github.com/uiueux/comfyui-runninghub
安装命令:
openclaw skills install comfyui-runninghub
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 comfyui-runninghub

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

comfyui-runninghub 通过 API 在 RunningHub 云平台执行 ComfyUI 工作流。适用于需要弹性算力或远程运行复杂图像/视频生成任务的场景。支持提交任务、查询进度并获取输出结果,无需本地部署完整环境。使用受限于 RunningHub 账户权限与配额,需提前开通服务。

建议测试基础工作流以确保 API 连通性与参数传递正确性。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install comfyui-runninghub;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

comfyui-runninghub 怎么安装?

在终端执行 openclaw skills install comfyui-runninghub。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

comfyui-runninghub 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

comfyui-runninghub 需要什么权限?

权限级别是接触敏感数据。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。

comfyui-runninghub 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

comfyui-runninghub 用的人多吗?

公开数据是累计安装 6,048 次,近一周安装 252 次,下载 2,016 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

comfyui-runninghub 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
comfyui-runninghub

comfyui 跑步中心 · 本页

6,048—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
runninghub-comfyui
description
Execute RunningHub ComfyUI workflows via API. Use when you need to run ComfyUI workflows on RunningHub cloud platform, submit tasks, query status, and retrieve results.

RunningHub ComfyUI Workflow Runner

This skill provides tools to execute ComfyUI workflows on the RunningHub cloud platform via API.

Prerequisites

  1. RunningHub Account - Register at https://www.runninghub.ai/?inviteCode=kol01-rh124
  2. API Access - Basic membership or above (free users cannot use API)
  3. API Key - Get your 32-character API KEY from the API Console
  4. Workflow ID - The workflow must have been successfully run manually at least once

Getting API Key

  1. Login to RunningHub
  2. Click your avatar in the top-right corner
  3. Go to "API Console"
  4. Copy your API KEY (keep it secure!)

Getting Workflow ID

  1. Open the target workflow page
  2. Get the ID from the URL: https://www.runninghub.ai/#/workflow/WORKFLOW_ID
  3. Example: ID is 1987728214757978114

Setup API Key

Option 1: Save to Config File (Recommended)

cd /root/.openclaw/workspace/skills/runninghub-comfyui
python3 scripts/runninghub_client.py --save-key YOUR_API_KEY

The API key will be saved to config.json and automatically loaded for future runs.

Option 2: Environment Variable

export RUNNINGHUB_API_KEY=YOUR_API_KEY

Option 3: Command Line (Each Time)

python3 scripts/runninghub_client.py --api-key YOUR_API_KEY ...

Usage

Submit Workflow Task (Default Configuration)

For workflows using default configuration:

cd /root/.openclaw/workspace/skills/runninghub-comfyui

python3 scripts/runninghub_client.py \
  --workflow-id 1987728214757978114 \
  --action submit

Run Workflow with Custom Image (NEW!)

Upload an image and run the workflow with it:

python3 scripts/runninghub_client.py \
  --workflow-id 1987728214757978114 \
  --action run-with-image \
  --image /path/to/your/image.png \
  --node-id 107 \
  --field-name image

Parameters:

  • --image: Path to the local image file
  • --node-id: The node ID for image input (default: 107)
  • --field-name: The field name for image input (default: image)

Query Task Status

python3 scripts/runninghub_client.py \
  --task-id TASK_ID \
  --action query

Wait for Completion

python3 scripts/runninghub_client.py \
  --task-id TASK_ID \
  --action wait \
  --poll-interval 5 \
  --max-attempts 60

Python API Usage

from runninghub_client import RunningHubClient, load_config, get_api_key

# Get API key from config
api_key = get_api_key()

# Initialize client
client = RunningHubClient(api_key)

# Upload image and get URL
image_url = client.upload_image("/path/to/image.png")
print(f"Image URL: {image_url}")

# Submit workflow with custom image
result = client.submit_workflow_with_image(
    workflow_id="1987728214757978114",
    node_id="107",
    field_name="image",
    image_url=image_url
)

task_id = result["taskId"]

# Wait for completion
final_result = client.wait_for_completion(task_id)

# Get output URLs
if final_result.get("status") == "SUCCESS":
    for item in final_result.get("results", []):
        print(f"Output: {item.get('url')}")

API Reference

RunningHubClient Class

__init__(api_key: str)

Initialize the client with your API KEY.

upload_image(image_path: str) -> Optional[str]

Upload an image file to RunningHub and get the URL.

Returns:

  • Image URL on success
  • None on failure
submit_workflow(workflow_id: str, node_info_list: Optional[list]) -> Dict

Submit a workflow task for execution.

Parameters:

  • workflow_id: The workflow ID from RunningHub
  • node_info_list: Node configuration list (optional)

Important: Use fieldValue (not value) in node_info_list:

node_info_list = [
    {
        "nodeId": "107",
        "fieldName": "image",
        "fieldValue": "https://..."  # ✅ Use fieldValue, not value
    }
]

Returns:

{
  "taskId": "TASK_ID",
  "status": "RUNNING",
  "clientId": "CLIENT_ID"
}
submit_workflow_with_image(workflow_id: str, node_id: str, field_name: str, image_url: str) -> Dict

Submit a workflow with an image input (convenience method).

Example:

result = client.submit_workflow_with_image(
    "1987728214757978114",  # workflow_id
    "107",                   # node_id
    "image",                 # field_name
    "https://..."            # image_url
)
query_task(task_id: str) -> Dict

Query the status of a submitted task.

Returns:

{
  "status": "RUNNING|SUCCESS|FAILED",
  "results": [
    {"url": "https://...", "filename": "..."}
  ]
}
wait_for_completion(task_id: str, poll_interval: int, max_attempts: int) -> Dict

Wait for a task to complete by polling status.

Image Upload

Endpoint: POST /openapi/v2/media/upload/binary

Headers:

  • Authorization: Bearer <api_key>

Body:

  • Multipart form-data with file field

Response:

{
  "code": 0,
  "msg": "success",
  "data": {
    "type": "image",
    "download_url": "https://...",
    "fileName": "openapi/...",
    "size": "3490"
  }
}

Submit Workflow with Custom Input

Endpoint: POST /openapi/v2/run/workflow/{workflow_id}

Headers:

  • Authorization: Bearer <api_key>
  • Content-Type: application/json

Request Body:

{
  "apiKey": "your-api-key",
  "workflowId": "1987728214757978114",
  "addMetadata": true,
  "nodeInfoList": [
    {
      "nodeId": "107",
      "fieldName": "image",
      "fieldValue": "https://..."  // ✅ Use fieldValue, not value
    }
  ],
  "instanceType": "default",
  "usePersonalQueue": "false"
}

Important: Use fieldValue not value for node input values!

Important Notes

  1. Use fieldValue not value: When passing node input values via API, always use fieldValue:
   {"nodeId": "107", "fieldName": "image", "fieldValue": "..."}  // ✅ Correct
   {"nodeId": "107", "fieldName": "image", "value": "..."}       // ❌ Wrong
  1. Rate Limiting: Basic members have concurrency limits (usually 1 task at a time)
  1. Error 421: "API queue limit reached" - Wait for previous tasks to complete
  1. Authentication: Uses Authorization: Bearer <api_key> header
  1. API Endpoints:

- Submit: POST /openapi/v2/run/workflow/{workflow_id} - Query: POST /openapi/v2/query - Upload: POST /openapi/v2/media/upload/binary

Troubleshooting

"Invalid node info" (Error 803)

  • Check that you're using fieldValue not value
  • Verify the nodeId and fieldName match the workflow configuration
  • Use the workflow's getJsonApiFormat endpoint to check available nodes

"API queue limit reached" (Error 421)

  • Wait 2-3 minutes and retry
  • Check RunningHub web console for running tasks
  • Cancel tasks from web console if needed

"TOKEN_INVALID" (Error 412)

  • Verify your API KEY is correct (32 characters)
  • Check if your membership is active
  • Try regenerating the API KEY from console

Task stuck in "RUNNING"

  • Large workflows may take several minutes
  • Check RunningHub web console for actual progress
  • Contact support if task runs too long

平台分布

OpenClaw

74.73%
按下载量换算1,507

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

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。目前只有一个公开来源,建议同时核对源仓库。

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