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图像处理需要联网clawhub未标认证来源可访问clear审计提醒

creatok-generate-image创建图像

Agent Skill

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

总安装

10,090

周安装

429

GitHub Stars

公开资料未说明

下载量

3,535
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:creatok-generate-image(创建图像)
来源仓库:https://github.com/newt0n/creatok-generate-image
安装命令:
openclaw skills install creatok-generate-image
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 creatok-generate-image

简介

根据自然语言描述生成高质量 AI 图像,支持多尺寸输出。

  • 适用于产品设计、社交媒体配图或概念可视化场景。
  • 内置提示词优化器,自动增强关键词结构与构图描述。
  • 涉及真人肖像或商标时,请勿生成误导性或侵权视觉内容。
  • creatok-generate-image 属于图像处理类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
creatok-generate-image
version
1.0.0
description
This skill should be used when the user asks to generate an image, create an AI image, produce a product image, generate a visual from a prompt, or check and continue an existing image generation task. Generates images through CreatOK's image generation API and can also recover interrupted generation flows from an existing task id.
license
Open Source
compatibility
Claude Code ≥1.0, OpenClaw skills, ClawHub-compatible installers. Requires network access to CreatOK Open Skills API. No local image rendering packages required.
metadata
openclaw
requires
env
[]
bins
primaryEnv
CREATOK_API_KEY
author
creatok
version
1.0.0
geo-relevance
low
tags
triggers

generate-image

Constraints

  • The model's final user-facing response should match the user's input language, default English.
  • Must request user confirmation before triggering any paid/high-cost image generation call.
  • After confirmed, must call CreatOK Open Skills proxy and wait until completion.
  • Avoid technical wording in the user-facing reply unless the user explicitly needs details for debugging.

Model Selection Rules

The skill must read model list, defaults, and hard limits from the CreatOK capabilities endpoint at runtime instead of hardcoding them locally.

Keep the local client thin:

  • use the returned default model unless the user explicitly chooses another supported model
  • validate only hard execution constraints such as resolution, aspect ratio, count, and reference-image cap
  • keep user-facing model explanation minimal and avoid depending on provider, family, or hint-style metadata

Inputs to clarify (ask if missing)

  • ask only for what is necessary to generate a good image
  • if resolution or aspect ratio is not specified, use the model defaults returned by the capabilities endpoint
  • if the prompt is vague, offer to refine it before confirming generation
  • reference images are optional — ask only if the user implies style transfer or subject reference
  • when reference images are used, upload the local image file first and submit the returned uploaded reference with the generation task

Workflow

  1. Confirmation gate (mandatory)
  • Summarize:

- model - resolution - number of images (n) - aspect ratio if specified - estimated cost/credits if available

  • Ask for a simple confirmation before submitting.
  • Do not submit the generation task until user says yes.
  1. Submit image generation
  • Call CreatOK: POST /api/open/skills/image-generation
  1. Poll status until completion
  • Call CreatOK: GET /api/open/skills/tasks/status?task_id=...&task_type=image_generation
  1. Persist artifacts + respond
  • Write:

- outputs/result.json with task_id/status/images/raw - outputs/result.md

  • Persist the task_id immediately after submission so the user can recover later.
  • Return the final image URLs verbatim.

Existing Task Recovery

  • If the user already has a task_id, continue from that task instead of starting a new one.
  • In recovery mode, do not ask the user to restate the prompt if the task id is already available.
  • The model can either check status once or keep polling if the user wants to wait.
  • If the task succeeded, return the final image URLs verbatim.
  • If the task is still queued or running, explain clearly and offer to keep checking.
  • If the task failed, explain the failure and suggest next steps.

Artifacts

All artifacts under generate-image/.artifacts/<run_id>/....

Thin Client Boundary

  • This skill submits generation jobs, polls status, and persists fixed-format outputs.
  • The model should not make the user restate their idea if the direction is already clear from the conversation.

适合场景

01

文本生成图片

02

图片风格化

03

产品图和创意图

04

需要 FLUX 模型时

能力概览

能力 1

调用 FLUX 图像模型

能力 2

支持文本生图和图像改写

能力 3

覆盖 LoRA 或风格适配

能力 4

适合创意视觉生成

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

73.13%
按下载量换算2,585

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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

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