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图像处理敏感数据clawhub未标认证来源可访问clear审计通过

goai-image-gen果艾图像生成器

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

3,293

周安装

140

GitHub Stars

公开资料未说明

下载量

1,154
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:goai-image-gen(果艾图像生成器)
来源仓库:https://github.com/goai/goai-image-gen
安装命令:
openclaw skills install goai-image-gen
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 goai-image-gen

简介

通过 GoAI API 生成 AI 图像。当用户要求创建、生成、绘制、编辑、渲染或制作图像、图片、插图、海报、头像、图片时使用

SKILL.md

name
goai-image-gen
description
Generate AI images via GoAI API. Use when the user asks to create, generate, draw, edit, render, or make images, pictures, illustrations, posters, avatars, photos, or concept art, including Chinese requests like 生成图片, 生成一张图, 画图, 画一张图, 出图, 做图, 修图, 改图.
version
0.3.0
homepage
https://mustgoai.com
metadata
{ "openclaw": { "emoji": "🎨", "os": ["darwin", "linux", "win32"], "requires": { "bins": ["uv"], "env": ["GOAI_API_KEY"] }, "primaryEnv": "GOAI_API_KEY" } }

When To Use

Use this skill when the user wants image generation, image editing, or reference-image-based image creation through GoAI, especially for prompts like 生成图片, 画图, 出图, 做图, 修图, and 改图.

Pass the user's image prompt through as-is unless the user explicitly asks for prompt optimization, prompt polishing, rewriting, translation, or additional creative detail. Do not silently embellish short prompts such as 画一个老虎.

Do not translate the user's prompt to another language. If the user writes in Chinese, pass Chinese to --prompt. If the user writes in English, pass English to --prompt. You may strip only lightweight request wrappers such as 帮我, 给我, , 生成, or 画一张, but do not rewrite the core prompt content.

Examples:

  • User: 给我生成一只狮子 -> --prompt "一只狮子" or --prompt "给我生成一只狮子"
  • User: 画一个老虎 -> --prompt "画一个老虎" or --prompt "一个老虎"
  • Never turn 给我生成一只狮子 into a lion unless the user explicitly asks for English translation.

Default Behavior

This package currently targets the production environment at https://mustgoai.com. Override GOAI_BASE_URL only when you intentionally need a different endpoint.

This skill now uses a single cross-platform Python entrypoint through uv. If the user does not specify a model, the script queries /api/v1/models/capabilities, sorts enabled image models by display.priority, and picks the highest-priority model.

Treat uv as the only runtime dependency the user needs to install manually. On first run, uv may create a local environment, install httpx, and download Python if the machine does not already have a usable interpreter. That first-run setup is expected and should not be described as an error.

If the user provides local image paths, the script uploads them first and sends the resulting URLs as reference_images. If the user provides remote URLs, the script passes them through unchanged.

Script Rules

Always use the Python entrypoint through uv:

uv run --project . python scripts/generate_image.py \
  --prompt "..." \
  [--model "..."] \
  [--aspect-ratio "..."] \
  [--resolution "..."] \
  [--reference "/path/to/image.png"] \
  [--reference "https://example.com/image.png"]

The Python path validates GOAI_API_KEY, defaults to https://mustgoai.com unless GOAI_BASE_URL is set, and treats 401, 402, 429, content blocking, missing task_id, missing image_url, and backend terminal failure states as hard failures. Polling follows the web client behavior: it checks every 3 seconds, retries transient polling errors, and waits for a backend terminal status instead of enforcing a client-side timeout.

The Python entrypoint self-heals into uv run if it is accidentally invoked as python scripts/generate_image.py ... or python3 scripts/generate_image.py .... Do not try to repair the system Python environment for this skill.

When invoking this skill through OpenClaw's exec tool, always use timeout=600 to allow up to 10 minutes for long-running image generation. Do not describe the run as timed out or killed unless the script itself exits non-zero or the backend reports a terminal failure state.

If uv is missing, explicitly guide the user to install it first:

  • macOS: brew install uv
  • Windows: winget install astral-sh.uv

After uv is installed, rerun the same command. Do not ask the user to install Python packages by hand; uv is responsible for preparing Python and the skill dependencies.

If execution reports a missing Python module such as httpx, do not run pip install, pip install --user, or pip install --break-system-packages. Re-run the skill through uv; the dependency set comes only from pyproject.toml and uv.lock.

If GOAI_API_KEY is missing, explicitly guide the user to visit https://mustgoai.com, register or log in, open Settings -> API Key, create a key, and then configure the skill env in ~/.openclaw/openclaw.json.

Output Contract

On success, print all four lines below in this order:

  • MEDIA:/absolute/path/to/generated-file
  • MEDIA_URL:https://...
  • RESULT_PATH:/absolute/path/to/generated-file
  • RESULT_URL:https://...

When responding to the user after a successful run, always include both the exact local file path and the exact public URL in plain text, even if OpenClaw already rendered or read the local media file. Do not omit the URL just because the image preview succeeded. On failure, exit non-zero and print a concise error message. Do not inline the binary output back into the conversation.

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

80.56%
按下载量换算930

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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。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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