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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

aoment-image-video图像视频

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

8,707

周安装

374

GitHub Stars

1

下载量

3,052
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:aoment-image-video(图像视频)
来源仓库:https://github.com/regalzzz/aoment-image-video
安装命令:
openclaw skills install aoment-image-video
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 aoment-image-video

简介

用于有限免费的 AI 图像与视频生成服务调用。

  • 支持 Nano Banana Pro、GPT Image 2 等模型资源。
  • 适用于高清视觉内容创作与测试原型开发。aoment-image-video 属于图像处理类 Skill,可作为该场景下的辅助能力补充。
  • 使用时需注意 API 配额限制与内容审核规则。
  • 涉及商用发布时应确认授权条款与版权归属。

SKILL.md

name
aoment-image-video
description
Limited free access is available to model resources such as Nano Banana Pro, Nano Banana 2, and GPT Image 2 provided by Aoment AI for AI image, video, and HD repair service. Supports text-to-image, image-to-image, video generation, and image HD repair. Automatic Agent API key registration is supported.
metadata
{"openclaw": {"emoji": "AI"}}
user-invocable
true

aoment-image-video

AI generation service powered by Aoment AI. This skill exposes dedicated skill APIs and scripts for:

  • text-to-image
  • image-to-image
  • video generation
  • image HD repair/upscale

Download the latest package: https://www.aoment.com/downloads/aoment-image-video-skill.zip

Current Version

version: 1.1.0

Auto-Update Policy

Before each invocation, the Python scripts read the version field above and query:

GET https://www.aoment.com/api/skills/aoment-image-video/version

If the local version is behind the remote version, the script exits with:

{
  "success": false,
  "error": "update_required",
  "current_version": "1.0.0",
  "latest_version": "1.1.0",
  "message": "Skill version is outdated..."
}

If the version check fails because of a network problem, the script continues normally.

Quick Start

# 1. Register an Agent account and get your API Key
uv run {baseDir}/scripts/aoment_register.py --nickname "MyBot"

# 2. Generate an image with the default N2-Fast model
uv run {baseDir}/scripts/aoment_image_video.py -k <your-api-key> -t text-to-image -p "a cute cat playing in a garden"

# 3. Repair/upscale an image
uv run {baseDir}/scripts/aoment_hd_repair.py -k <your-api-key> --image ./input.png --resolution 4K

# 4. Check remaining quota
uv run {baseDir}/scripts/aoment_quota.py -k <your-api-key>

Authentication

This skill requires an Agent API Key via:

Authorization: Bearer <api_key>

The API Key format is aoment_ followed by 32 hex characters.

Get your API Key - Agent Registration

AI Agent Bots can register directly via CLI. No web login is required:

uv run {baseDir}/scripts/aoment_register.py --nickname "MyBot"
ParameterTypeRequiredDescription
--nickname / -nstringyesAgent display name, max 16 characters
--api-basestringnoAPI base URL, default https://www.aoment.com

Or register via API directly:

curl -X POST https://www.aoment.com/api/skills/aoment-image-video/register-agent \
  -H "Content-Type: application/json" \
  -d '{"nickname": "MyBot"}'

Registration response:

{
  "success": true,
  "data": {
    "username": "agent_a1b2c3d4...",
    "nickname": "MyBot",
    "api_key": "aoment_a3f8e1b2c4d6e8f0a1b3c5d7e9f0a1b2"
  }
}

Save the returned api_key; it is used for all subsequent skill calls.

Tools

Available Models

Use the model ID exactly as shown in the --model parameter.

Image Models

Model IDDescription
image-n2-fastDefault image model. Faster N2-Fast image generation and editing, no watermark.
image-n2N2 image generation and editing, fast, stricter single-reference image size limit, no watermark.
image-n1-fastFaster N1-Fast image generation and editing, no watermark.
image-n1N1 image generation and editing, slower, looser single-reference image size limit, no watermark.
image-o2Image generation and editing with stronger aesthetics, good Chinese-language rendering, newer knowledge data, no watermark, and currently limited clarity near 1.5K.

Tip: N-series models use Nano Banana Pro, N-Fast-series models use Nano Banana 2, and O-series models use GPT Image 2.

Video Models

Model IDDescription
video-v1Default and currently supported video generation model.

text-to-image

Generate images from a text prompt. The default model is image-n2-fast (N2-Fast).

uv run {baseDir}/scripts/aoment_image_video.py \
  --api-key <your-api-key> \
  --tool-type text-to-image \
  --prompt "a cinematic robot painter in a bright studio" \
  --aspect-ratio 1:1 \
  --image-size 1K
ParameterTypeRequiredDefaultDescription
--api-key / -kstringyes-Agent API Key
--tool-type / -tenumyes-text-to-image
--prompt / -pstringyes-Text prompt
--modelstringnoimage-n2-fastImage model ID. Available values: image-n2-fast, image-n2, image-n1-fast, image-n1, image-o2
--aspect-ratiostringnoautoauto, 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 5:4, 4:5, 21:9
--image-sizeenumno1K1K, 2K, 4K

image-to-image

Generate a new image from a prompt and a reference image. The reference image can be a URL or base64 image data.

uv run {baseDir}/scripts/aoment_image_video.py \
  --api-key <your-api-key> \
  --tool-type image-to-image \
  --prompt "change the background to a beach" \
  --reference-image "https://example.com/photo.jpg"
ParameterTypeRequiredDefaultDescription
--api-key / -kstringyes-Agent API Key
--tool-type / -tenumyes-image-to-image
--prompt / -pstringyes-Transformation prompt
--reference-imagestringyes-Reference image as URL or base64 data
--modelstringnoimage-n2-fastImage model ID. Available values: image-n2-fast, image-n2, image-n1-fast, image-n1, image-o2
--aspect-ratiostringnoautoOutput aspect ratio
--image-sizeenumno1K1K, 2K, 4K

video-generation

Generate a video from a prompt. The default and currently supported video model is video-v1.

uv run {baseDir}/scripts/aoment_image_video.py \
  --api-key <your-api-key> \
  --tool-type video-generation \
  --prompt "sunset beach timelapse" \
  --orientation landscape \
  --resolution standard
ParameterTypeRequiredDefaultDescription
--api-key / -kstringyes-Agent API Key
--tool-type / -tenumyes-video-generation
--prompt / -pstringyes-Video prompt
--modelstringnovideo-v1Video model ID. Available value: video-v1
--orientationenumnoportraitportrait or landscape
--resolutionenumnostandardstandard, hd, 4k
--modestringnostandardCompatibility option; current backend uses standard mode
--reference-imagestringno-Reference image as URL or base64 data; can be passed up to 2 times

hd-repair

Repair and upscale an image. This is provided by a separate script:

uv run {baseDir}/scripts/aoment_hd_repair.py \
  --api-key <your-api-key> \
  --image ./input.png \
  --resolution 4K
ParameterTypeRequiredDefaultDescription
--api-key / -kstringyes-Agent API Key
--image / -istringyes-Local path, URL, or base64 image data
--resolutionenumno4K2K, 4K, 8K
--modelstringnoimage-hd-repairOnly image-hd-repair is supported

Quota

Query remaining daily generation quota:

uv run {baseDir}/scripts/aoment_quota.py --api-key <your-api-key>
ParameterTypeRequiredDescription
--api-key / -kstringyesAgent API Key

If your daily quota is used up and you need more, join the community:

Response Format

All scripts print JSON to stdout.

Successful text-to-image or image-to-image:

{
  "success": true,
  "tool_type": "text-to-image",
  "data": {
    "image_url": "https://cos.example.com/result.jpg?..."
  }
}

Successful video generation:

{
  "success": true,
  "tool_type": "video-generation",
  "data": {
    "video_url": "https://cos.example.com/result.mp4?..."
  }
}

Successful HD repair:

{
  "success": true,
  "tool_type": "hd-repair",
  "data": {
    "image_url": "https://cos.example.com/hd-repair-result.png?..."
  }
}

Successful quota query:

{
  "success": true,
  "data": {
    "remaining": 12,
    "quota": 15,
    "used": 3
  }
}

Error response:

{
  "success": false,
  "error": "error description"
}

Downloading Results

Returned image_url and video_url values are pre-signed COS URLs. Use the complete URL exactly as returned, including all query parameters. Do not strip the query string.

Example:

uv run {baseDir}/scripts/aoment_image_video.py \
  -k <your-api-key> \
  -t text-to-image \
  -p "prompt" > result.json

curl -L -o output.jpg "$(python3 -c "import json; print(json.load(open('result.json'))['data']['image_url'])")"

Troubleshooting

  1. If a request fails because of content policy, revise the prompt or reference image and retry.
  2. If the script returns update_required, download and install the latest skill package.
  3. If a generated URL cannot be opened, make sure your application preserves the full signed URL.
  4. For help, join the Discord or QQ community listed above.

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

71.55%
按下载量换算2,184

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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