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Agent Skill · 待分类

comfyui-skill-openclaw(comfyui 技能 OpenClaw)

comfyui-skill-openclaw 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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-skill-openclaw 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在待分类类的 11,209 个 Skill 里排第 4,216。

总安装 784周安装 33GitHub Stars 241下载 275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
unknown

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-skill-openclaw(comfyui 技能 OpenClaw)
来源仓库:https://github.com/huangyuchuh/comfyui_skills_openclaw
仓库路径:skills/comfyui-skill-openclaw
安装命令:
npx skills add https://github.com/huangyuchuh/comfyui_skills_openclaw --skill comfyui-skill-openclaw
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/huangyuchuh/comfyui_skills_openclaw --skill comfyui-skill-openclaw

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

comfyui-skill-openclaw 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。

通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 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。当前无原始 SKILL.md 内容可参考,功能描述基于通用协作场景推断。

来源仓库内路径:skills/comfyui-skill-openclaw

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/huangyuchuh/comfyui_skills_openclaw --skill co…;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-skill-openclaw 怎么安装?

在终端执行 npx skills add https://github.com/huangyuchuh/comfyui_skills_openclaw --skill comfyui-skil…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

comfyui-skill-openclaw 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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-skill-openclaw 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-skill-openclaw 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

comfyui-skill-openclaw 用的人多吗?

公开数据是累计安装 784 次,近一周安装 33 次,下载 275 次,GitHub 241 星。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-skill-openclaw 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

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。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

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。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
comfyui-skill-openclaw

comfyui 技能 OpenClaw · 本页

784241接触敏感数据未明确有提醒

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

ComfyUI Agent SKILL

Prerequisites: Install the CLI: pip install -U comfyui-skill-cli. All commands must run from this project's root directory (where this SKILL.md is located). [!IMPORTANT] Directory Sensitivity: The CLI reads config.json and data/ from the current directory. You MUST cd into the project root before running any command. Symptom: list returns [] or server status reports not found → you are in the wrong directory.

Quick Decision

  • User says "generate image / draw a picture" → Execution Flow (Step 1–4)
  • User says "import workflow / add workflow" → comfyui-skill --json workflow import <path>
  • User says "img2img / use this image" → first comfyui-skill --json upload <image>, then execute
  • User says "inpainting / mask this area" → comfyui-skill --json upload <mask> --mask, then execute
  • User says "show previous results" → comfyui-skill --json history list <id>
  • User says "what failed / check job status" → comfyui-skill --json jobs list --status failed
  • User says "which server has more VRAM" → comfyui-skill --json server stats --all
  • User says "what nodes are available" → comfyui-skill --json nodes list
  • User says "dry run / test without executing" → comfyui-skill --json run <id> --validate
  • User says "open management UI" → python3./ui/open_ui.py

Core Concepts

  • Skill ID: <server_id>/<workflow_id> (e.g., local/txt2img). If server is omitted, the default server is used.
  • Schema: Each workflow has a schema.json that maps business parameter names (e.g., prompt, seed) to internal ComfyUI node fields. Never expose node IDs to the user.
  • Server: One or more ComfyUI instances configured in config.json. Check health with server status.

Command Reference

CommandPurpose
comfyui-skill --json server statusCheck if ComfyUI server is online
comfyui-skill --json server statsShow VRAM, RAM, GPU, versions (--all for multi-server)
comfyui-skill --json listList all available workflows and parameters
comfyui-skill --json info <id>Show workflow details and parameter schema
comfyui-skill --json submit <id> --args '{...}'Submit a workflow (non-blocking)
comfyui-skill --json status <prompt_id>Check execution status
comfyui-skill --json run <id> --args '{...}'Execute a workflow (blocking, real-time streaming)
comfyui-skill --json run <id> --validateValidate workflow without executing
comfyui-skill --json upload <path>Upload image to ComfyUI (for img2img workflows)
comfyui-skill --json upload <path> --maskUpload mask image (for inpainting workflows)
comfyui-skill --json nodes listList all available ComfyUI nodes
comfyui-skill --json jobs listList server-side job history (--status failed to filter)
comfyui-skill --json deps check <id>Check missing dependencies
comfyui-skill --json deps install <id> --repos '[...]'Install missing custom nodes
comfyui-skill --json workflow import <path>Import workflow (auto-detect, warns about deprecated nodes)
comfyui-skill --json history list <id>List execution history for a workflow

Execution Flow

Step 1: Query Available Workflows

comfyui-skill --json list

Returns a JSON array of all enabled workflows with their parameters.

  • required: true parameters → ask the user if not provided.
  • required: false parameters → infer from context (e.g., seed = random number), or omit.
  • Never expose node IDs; only use business parameter names (e.g., prompt, style).
  • If multiple workflows match, pick the most relevant one or list candidates.

Step 2: Parameter Assembly

Assemble parameters into a JSON string. Example:

{"prompt": "A beautiful landscape, high quality, masterpiece", "seed": 40128491}

If critical parameters are missing, ask the user (e.g., "What visual style would you like?").

Step 3: Pre-flight Dependency Check

Always run before first execution of a workflow:

comfyui-skill --json deps check <server_id>/<workflow_id>
  • If is_ready is true → proceed to Step 4.
  • If is_ready is false:

1. Present missing nodes and models to the user. 2. If user agrees to install, run: comfyui-skill --json deps install <id> --repos '["https://github.com/repo1"]' Use source_repo URLs from the check report as --repos values. 3. If needs_restart is true, inform the user to restart ComfyUI, then re-check. 4. Missing models must be downloaded manually — tell the user which folder to place them in (e.g., checkpoints).

Step 4: Execute the Workflow

Note: JSON args must be wrapped in single quotes to prevent bash from parsing double quotes.

Choose the execution mode based on your environment:

Interactive mode: submit + status (recommended for chat)

Step 4a — Submit:

comfyui-skill --json submit <id> --args '{"prompt": "..."}'

Returns: {"status": "submitted", "prompt_id": "..."}. Tell the user generation has started.

Step 4b — Poll:

comfyui-skill --json status <prompt_id>

Status values: queued (with position) → running → success (with outputs) or error.

Polling pattern — critical for real-time feedback:

Each status call must be a separate tool invocation (a separate bash command). Do NOT write a shell loop. The correct pattern is:

  1. Run status as a standalone bash command.
  2. Read the returned JSON.
  3. If queued or running: send a text message to the user with progress, then run status again.
  4. If success: proceed to Step 5.
  5. If error: report the error.
Non-interactive mode: one-shot blocking (for scripts/CI)
comfyui-skill --json run <id> --args '{"prompt": "..."}'

Blocks until finished. Returns the same result format as status with success.

Step 5: Present Results

On success, the result contains an outputs array with file references (filename, subfolder, type). Use your native capabilities to present the files to the user (e.g., image preview, file path).


Workflow Import

When the user wants to add new workflows (not execute existing ones):

comfyui-skill --json workflow import <json_path>
  • Supports both API format and editor format (auto-detected, auto-converted).
  • Automatically generates schema.json with smart parameter extraction.
  • After import, check dependencies before first execution.

For bulk import from ComfyUI server or local folders, see references/workflow-import.md.

Troubleshooting

  1. ComfyUI Offline: Run comfyui-skill --json server status. If offline, ask the user to start ComfyUI.
  2. Workflow Not Found: Run comfyui-skill --json list to see available workflows. If missing, the user needs to import it first.
  3. Parameter Format Error: Ensure --args is valid JSON wrapped in single quotes.
  4. Cloud Node Unauthorized: Workflow uses cloud API nodes (Kling, Sora, etc.). Guide user to: (1) Generate an API Key at https://platform.comfy.org, (2) Open Web UI → Server Settings → fill in "ComfyUI API Key".

平台分布

Codex

37.64%
按下载量换算104

Claude

30.62%
按下载量换算84

Cursor

18.4%
按下载量换算51

Gemini CLI

9.01%
按下载量换算25

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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