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图像处理敏感数据github未标认证来源可访问许可证需确认审计异常

ez-google-imagenEZ Google imagen 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

264

周安装

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GitHub Stars

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下载量

88
CodexClaudeCursorGemini CLI

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

unknown

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:ez-google-imagen(EZ Google imagen 图像)
来源仓库:https://github.com/araa47/ez-vision
仓库路径:skills/ez-google-imagen
安装命令:
npx skills add https://github.com/araa47/ez-vision --skill ez-google-imagen
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/araa47/ez-vision --skill ez-google-imagen

简介

ez-google-imagen 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。

  • 它能让 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、品牌或公开展示素材时,应额外核对授权和合规边界。
  • 安装前建议核对来源仓库维护状态,并留意是否会触发联网、命令执行或文件读写。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

ez-google-imagen

Generate new images or edit existing ones using Google's Gemini and Imagen models.

Currently supports:

  • Vertex AI ADC (Application Default Credentials) - default
  • Gemini API key - fallback

Models

ModelTypeEditingNotes
gemini-3-pro-image-previewGeminiYesDefault. High quality generation and editing.
imagen-4.0-generate-001Imagen 4NoBest image quality. Generation only.

Use --model to select. Default: gemini-3-pro-image-preview.

Model Aliases

Short names you can use instead of full model IDs:

AliasResolves to
nano-bananagemini-3-pro-image-preview
geminigemini-3-pro-image-preview
imagenimagen-4.0-generate-001
imagen4imagen-4.0-generate-001

Example: --model nano-banana is equivalent to --model gemini-3-pro-image-preview.

Imagen models use generate_images API (generation only). Gemini models use generate_content API (generation + editing).

Usage

Script path (do NOT cd to skill directory first):

SCRIPT=~/.openclaw/skills/ez-google-imagen/scripts/generate_image.py

Generate (Gemini, default):

uv run $SCRIPT --prompt "your image description" --filename "output-name.png"

Generate (Imagen 4):

uv run $SCRIPT --prompt "your image description" --filename "output-name.png" --model imagen-4.0-generate-001

Generate (API key fallback):

uv run $SCRIPT --prompt "your image description" --filename "output-name.png" --api-key KEY

Edit existing image (Gemini only):

uv run $SCRIPT --prompt "editing instructions" --filename "output-name.png" --input-image "path/to/input.png"

Important: Always run from the user's current working directory so images are saved where the user is working, not in the skill directory.

Default Workflow (draft → iterate → final)

Goal: fast iteration without burning time on 4K until the prompt is correct.

  • Draft (1K): quick feedback loop

- uv run $SCRIPT --prompt "<draft prompt>" --filename "yyyy-mm-dd-hh-mm-ss-draft.png" --resolution 1K

  • Iterate: adjust prompt in small diffs; keep filename new per run

- If editing: keep the same --input-image for every iteration until you're happy.

  • Final (4K): only when prompt is locked

- uv run $SCRIPT --prompt "<final prompt>" --filename "yyyy-mm-dd-hh-mm-ss-final.png" --resolution 4K

Resolution Options

The Gemini image API supports three resolutions (uppercase K required):

  • 1K (default) - ~1024px resolution
  • 2K - ~2048px resolution
  • 4K - ~4096px resolution

Map user requests to API parameters:

  • No mention of resolution → 1K
  • "low resolution", "1080", "1080p", "1K" → 1K
  • "2K", "2048", "normal", "medium resolution" → 2K
  • "high resolution", "high-res", "hi-res", "4K", "ultra" → 4K

Authentication

The script supports two authentication methods:

1. Vertex AI ADC (Default)

Uses Application Default Credentials - no configuration needed if ADC is set up.

  • Default project: read from GOOGLE_CLOUD_PROJECT env var, or auto-detected from ADC
  • Default location: global
  • Override with --project and --location flags if needed

2. API Key (Fallback)

If you need to use a Gemini API key instead:

  1. --api-key argument (use if user provided key in chat)
  2. GEMINI_API_KEY environment variable

The script tries Vertex AI ADC first (if no API key provided), then falls back to API key auth.

Preflight + Common Failures (fast fixes)

  • Preflight:

- command -v uv (must exist) - Vertex AI ADC configured (default) OR GEMINI_API_KEY set / --api-key passed - If editing: test -f "path/to/input.png"

  • Common failures:

- Error: Failed to initialize Vertex AI with ADC → run gcloud auth application-default login or provide API key - Error loading input image: → wrong path / unreadable file; verify --input-image points to a real image - "quota/permission/403" style API errors → wrong credentials, no access, or quota exceeded

Filename Generation

Generate filenames with the pattern: yyyy-mm-dd-hh-mm-ss-name.png

Format: {timestamp}-{descriptive-name}.png

  • Timestamp: Current date/time in format yyyy-mm-dd-hh-mm-ss (24-hour format)
  • Name: Descriptive lowercase text with hyphens
  • Keep the descriptive part concise (1-5 words typically)
  • Use context from user's prompt or conversation
  • If unclear, use random identifier (e.g., x9k2, a7b3)

Examples:

  • Prompt "A serene Japanese garden" → 2025-11-23-14-23-05-japanese-garden.png
  • Prompt "sunset over mountains" → 2025-11-23-15-30-12-sunset-mountains.png
  • Prompt "create an image of a robot" → 2025-11-23-16-45-33-robot.png
  • Unclear context → 2025-11-23-17-12-48-x9k2.png

Image Editing

When the user wants to modify an existing image:

  1. Check if they provide an image path or reference an image in the current directory
  2. Use --input-image parameter with the path to the image
  3. The prompt should contain editing instructions (e.g., "make the sky more dramatic", "remove the person", "change to cartoon style")
  4. Common editing tasks: add/remove elements, change style, adjust colors, blur background, etc.

Prompt Handling

For generation: Pass user's image description as-is to --prompt. Only rework if clearly insufficient.

For editing: Pass editing instructions in --prompt (e.g., "add a rainbow in the sky", "make it look like a watercolor painting")

Preserve user's creative intent in both cases.

Prompt Templates (high hit-rate)

Use templates when the user is vague or when edits must be precise.

  • Generation template:

- "Create an image of:. Style:. Composition: <camera/shot>. Lighting:. Background:. Color palette:. Avoid:."

  • Editing template (preserve everything else):

- "Change ONLY:. Keep identical: subject, composition/crop, pose, lighting, color palette, background, text, and overall style. Do not add new objects. If text exists, keep it unchanged."

Output

  • Saves PNG to current directory (or specified path if filename includes directory)
  • Script outputs the full path to the generated image
  • Do not read the image back - just inform the user of the saved path

Examples

Generate with Gemini (default):

uv run $SCRIPT --prompt "A serene Japanese garden with cherry blossoms" --filename "2025-11-23-14-23-05-japanese-garden.png" --resolution 4K

Generate with Imagen 4:

uv run $SCRIPT --prompt "A serene Japanese garden" --filename "2025-11-23-14-23-05-japanese-garden.png" --model imagen-4.0-generate-001

Edit existing image (Gemini only):

uv run $SCRIPT --prompt "make the sky more dramatic with storm clouds" --filename "2025-11-23-14-25-30-dramatic-sky.png" --input-image "original-photo.jpg" --resolution 2K

Using API key (fallback):

uv run $SCRIPT --prompt "A mountain landscape" --filename "mountain.png" --api-key "your-api-key-here"

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

36.07%
按下载量换算32

Claude

29.61%
按下载量换算26

Cursor

18.99%
按下载量换算17

Gemini CLI

8.06%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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。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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