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Comfy UI Complete Toolkit

作者 Zambav · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install comfyui-complete-toolkit-skill
功能描述
Portable ComfyUI workflow and API guidance for any install. Use when building, validating, or troubleshooting ComfyUI image/video workflows, discovering avai...
使用说明 (SKILL.md)

ComfyUI Portable Skill

Use this skill when the task is to work with ComfyUI in a reusable, installation-agnostic way.

Minimum trigger scope

Trigger on requests like:

  • "Build a ComfyUI workflow"
  • "Fix this ComfyUI workflow"
  • "Use the ComfyUI API"
  • "Why is this ComfyUI graph failing?"
  • "Add a LoRA / model / node to this ComfyUI setup"

Do not assume any particular machine, model inventory, file layout, GPU, or custom node pack.

First move: assume zero install knowledge

Before writing or editing any workflow:

  1. Read references/setup.md.
  2. If the install is unknown, collect the missing setup fields from the user or discover them from the running ComfyUI instance.
  3. Prefer discovery over assumptions:
    • use /object_info to detect node classes and model dropdown values
    • confirm checkpoints, VAEs, encoders, and LoRAs from the target install
    • stop and report missing requirements clearly

Read path by task

Global operating rules

  • Treat node classes as discoverable, not guaranteed constants.
  • Treat model filenames as examples until confirmed on the target install.
  • Use filename-only model references in workflow JSON unless the install explicitly requires a subdirectory path.
  • Use defensive parsing for /history and /object_info; schema details can vary by ComfyUI version and custom nodes.
  • Fail fast when a required node class, model, or custom node is missing.
  • Keep setup-specific notes out of this file; put them in a per-user config or setup reference.

Cold-read test

Before publishing or packaging changes, check that a fresh reader could answer:

  • What does this skill do?
  • When should it trigger?
  • What must be discovered first?
  • Where do install-specific values go?
  • Which reference file should be opened for the current task?
安全使用建议
This skill appears coherent and portable. Before installing or using it, be sure you intentionally grant the agent access to the ComfyUI target you want it to manage: verify the base_url/websocket URL you provide (don’t hand over credentials or URLs for systems you don’t control), limit network exposure if possible (e.g., avoid giving access to internal-only services unless you trust the agent), and review any workflow submissions before approving large or expensive runs. If you need the agent to persist configuration, confirm that it will store that config in a user-owned location rather than a shared/global store.
功能分析
Type: OpenClaw Skill Name: comfyui-complete-toolkit-skill Version: 1.0.0 The skill bundle provides a comprehensive and portable toolkit for an AI agent to interact with ComfyUI via its REST and WebSocket APIs. It emphasizes a 'discovery-first' approach, instructing the agent to query the live server (e.g., via /object_info) for available nodes and models rather than making assumptions about the local environment. There is no evidence of data exfiltration, malicious execution, or harmful prompt injection; instead, the documentation in SKILL.md and the references/ directory focuses on legitimate workflow construction, debugging, and job management while explicitly advising against hardcoding secrets or absolute paths.
能力评估
Purpose & Capability
The name/description match the runtime instructions: the SKILL.md consistently focuses on discovering a target ComfyUI install (via /object_info, /queue, /history, /prompt, /ws) and building/validating workflows. There are no unrelated requirements (no cloud creds, no system paths) and the manifest explicitly avoids machine-specific inventories.
Instruction Scope
Runtime instructions confine activity to querying the ComfyUI API, validating discovered node/model dropdown values, and building/submitting workflow JSON. The skill explicitly disallows embedding absolute filesystem paths or storing secrets in docs and instructs to ask the user for base URLs when unknown. It does not instruct reading arbitrary system files or environment variables outside the declared (none) set.
Install Mechanism
This is instruction-only with no install spec and no code files to write or execute. That is the lowest-risk install profile and matches the described portable guidance role.
Credentials
The skill declares no required environment variables, credentials, or config paths. It asks the user (or discovers) only for target ComfyUI base/websocket URLs and model names — which are appropriate and proportionate for the stated functionality.
Persistence & Privilege
always is false and the skill does not request persistent or cross-skill privileges. disable-model-invocation is the default (false) which is expected; nothing in the files suggests it would modify other skills or system settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install comfyui-complete-toolkit-skill
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /comfyui-complete-toolkit-skill 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
comfyui-skill 1.0.0 - Initial release focused on portable and installation-agnostic ComfyUI workflow guidance. - Provides task-based triggers, discovery-first workflow, and clear references for common ComfyUI usage scenarios. - Emphasizes model/node discovery, explicit install-variable gathering, and defensive graph/API handling. - Includes structured reference map for setup, API, workflow building, compatibility, and debugging. - Establishes global rules to avoid hardcoded assumptions and maximize cross-install usability.
元数据
Slug comfyui-complete-toolkit-skill
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Comfy UI Complete Toolkit 是什么?

Portable ComfyUI workflow and API guidance for any install. Use when building, validating, or troubleshooting ComfyUI image/video workflows, discovering avai... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 333 次。

如何安装 Comfy UI Complete Toolkit?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install comfyui-complete-toolkit-skill」即可一键安装,无需额外配置。

Comfy UI Complete Toolkit 是免费的吗?

是的,Comfy UI Complete Toolkit 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Comfy UI Complete Toolkit 支持哪些平台?

Comfy UI Complete Toolkit 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Comfy UI Complete Toolkit?

由 Zambav(@zambav)开发并维护,当前版本 v1.0.0。

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