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Agent Skill · 图像处理

maliang-image(马良图片)

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。

maliang-image 是图像处理类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在图像处理类的 1,562 个 Skill 里排第 258。

总安装 12,803周安装 523GitHub Stars 公开资料未说明下载 4,449核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.1.1

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:maliang-image(马良图片)
来源仓库:https://github.com/xexojay/maliang-image
安装命令:
openclaw skills install maliang-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 maliang-image

这个 Skill 是做什么的

图像处理类 Skill 处理生成、裁剪、压缩和批量转换图片的任务。

基于 Google Gemini 的 AI 图像生成与编辑工具,支持文本转图。适用于创意配图、背景替换、视觉提示词优化等图像处理任务。首次使用赠送约 10 张免费图片额度,后续按 API 消耗计费。涉及人物或品牌素材时,请确认输出合规性与版权使用范围。

通过 clawhub 安装,运行于 OpenClaw,依赖外部 API 服务稳定性。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install maliang-image;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

maliang-image 怎么安装?

在终端执行 openclaw skills install maliang-image。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

maliang-image 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

maliang-image 需要什么权限?

权限级别是接触敏感数据。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。

maliang-image 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

maliang-image 用的人多吗?

公开数据是累计安装 12,803 次,近一周安装 523 次,下载 4,449 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

maliang-image 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理图像处理类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

图像处理类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
ai-image-generation

AI 图像生成 · Codex、Claude

4,365,552382调用外部服务未明确有提醒
openai-image-gen

OpenAI 图像生成 · OpenClaw

1,906,88432需要联网MIT-0有提醒
image

图像 · OpenClaw

525,99926需要联网MIT-0通过
baoyu-cover-image

宝玉封面图 · Codex、Claude

474,24016,779只读MIT有提醒
baoyu-image-gen

宝玉图像生成器 · Codex、Claude

468,00716,778接触敏感数据MIT通过
maliang-image

马良图片 · 本页

12,803—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
maliang-image
version
1.1.0
description
Generate images from text prompts or edit existing images with AI. Powered by Google Gemini via Maliang API. Free $6 credit on first use (~10 images). Supports text-to-image and multi-image inpainting editing.
user-invocable
true
metadata
openclaw
emoji
🎨
homepage
https://nano.djdog.ai
requires
bins

Maliang Image — AI Image Generation & Editing

Provider: Maliang API (nano.djdog.ai) Model: Google Gemini (image generation & editing) Pricing: $0.60/image, free $6 credit on first use (~10 images)

What it does

Generate images from text descriptions or edit existing images using AI.

  • No images provided → text-to-image generation
  • Images provided → AI image editing / inpainting (1–10 reference images, user-provided only)

Security & Data Handling

  • API Key: Auto-provisioned on first use via POST /api/v1/provision. The key is stored only in your local environment (MALIANG_API_KEY). You can revoke it at any time.
  • Images: Only images explicitly provided by the user are sent to the API. The skill never reads files unless the user specifies the file path. All uploads go over HTTPS.
  • No data collection: The API processes your request and returns results. Images are not stored permanently on the server.

Inputs needed

InputSourceRequired
Text promptUser messageYES
Reference imagesUser provides file paths or URLsNO (if omitted, generates from text)
Aspect ratioUser preferenceNO (default: 1:1)

Auto-Provision (First-time Setup)

On first use (when MALIANG_API_KEY is not set), automatically provision a new account:

curl -s -X POST "https://nano.djdog.ai/api/v1/provision"

Response:

{
  "success": true,
  "data": {
    "api_key": "sk-...",
    "short_code": "ML-XXXXXX",
    "balance": 6.0,
    "currency": "USD",
    "recharge_url": "https://nano.djdog.ai/recharge/ML-XXXXXX",
    "message": "Your API key has been created with $6 initial credit (~10 images)..."
  }
}

Save the returned api_key as MALIANG_API_KEY for all subsequent requests. Tell the user their short code (ML-XXXXXX) and initial balance — they'll need the short code to recharge later.

Balance Check

After each task, check remaining balance:

curl -s "https://nano.djdog.ai/api/v1/balance" \
  -H "Authorization: Bearer ${MALIANG_API_KEY}"

Response includes short_code for recharge reference. If balance is low, remind the user:

Your balance is $X.XX. To recharge, visit: https://nano.djdog.ai/recharge/{short_code}

Workflow

Step 0 — Ensure API key

If MALIANG_API_KEY is not set, run Auto-Provision first (see above) and store the returned key.

Step 1 — Determine mode

  • If the user provides one or more images (file paths, URLs, or pasted base64): edit mode
  • Otherwise: generate mode

Step 2 — Prepare images (edit mode only)

For each image the user provides:

  1. If it is a local file path, read and base64-encode it.
  2. If it is a URL, download it first, then base64-encode.
  3. Strip any data:image/...;base64, prefix — the API accepts raw base64.
  4. Verify each image is under 10 MB after decoding.
  5. Maximum 10 images total.

Step 3 — Submit task

Generate mode — call:

curl -s -X POST "https://nano.djdog.ai/api/v1/generate" \
  -H "Authorization: Bearer ${MALIANG_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "<user prompt>",
    "aspect_ratio": "<ratio, default 1:1>"
  }'

Edit mode — call:

curl -s -X POST "https://nano.djdog.ai/api/v1/edit" \
  -H "Authorization: Bearer ${MALIANG_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "<user editing instruction>",
    "image": "<base64 string or array of base64 strings>",
    "aspect_ratio": "<ratio, optional>"
  }'

Both return:

{
  "success": true,
  "data": {
    "task_id": "...",
    "status": "pending",
    "created_at": "..."
  }
}

Extract task_id from the response.

Step 4 — Poll for result

Poll every 3 seconds, up to 120 seconds max:

curl -s "https://nano.djdog.ai/api/v1/tasks/${TASK_ID}" \
  -H "Authorization: Bearer ${MALIANG_API_KEY}"

Response data.status values:

StatusMeaningAction
pendingQueuedKeep polling
processingGeneratingKeep polling
completedDoneGet image from image_url or image_base64
failedErrorShow error.message to user
deadMax retries exceededShow error, suggest retry

Step 5 — Deliver result

When status is completed:

  • If image_url is present: show the URL to the user (preferred).
  • If only image_base64 is present: save to a local file and show the path.

Output format

Image generated successfully!
URL: https://...
Aspect ratio: 1:1
Prompt: "<original prompt>"

Guardrails

  • Never fabricate task IDs or image URLs. Only use values from API responses.
  • Never poll more than 40 times (120 seconds). If not completed, tell the user it is still processing and provide the task ID for manual checking.
  • Do not send images larger than 10 MB to the edit endpoint.
  • Do not send more than 10 images to the edit endpoint.
  • If the API returns 402 (INSUFFICIENT_BALANCE), tell the user their balance is low and they need to recharge.
  • Prompt max length is 4000 characters. If the user's prompt is longer, ask them to shorten it.

Failure handling

ErrorAction
401 UnauthorizedMALIANG_API_KEY is invalid or missing. Try re-provisioning a new account.
402 Insufficient BalanceTell user to recharge via https://nano.djdog.ai/recharge/{short_code} (get short_code from balance endpoint)
400 IMAGE_TOO_LARGETell user the image exceeds 10 MB limit
400 TOO_MANY_IMAGESTell user max 10 images allowed
Network errorRetry once, then report failure
Timeout (120s)Report task ID, suggest checking later

Examples

Text-to-image:

User: Generate a cute orange cat sitting on a windowsill at sunset, anime style
→ Auto-provision if no API key → POST /api/v1/generate with prompt → poll for result → return image URL

Image editing:

User: Change the background of this photo to a beach scene [attaches photo]
→ Base64-encode the photo
→ POST /api/v1/edit with prompt + image, poll for result, return image URL

Multi-image editing:

User: Combine these character designs into one group portrait [attaches 3 images]
→ Base64-encode all 3 images
→ POST /api/v1/edit with prompt + image array, poll for result, return image URL

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

平台分布

OpenClaw

88.1%
按下载量换算3,920

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

接触敏感数据

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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