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Agent Skill · 开发

ai-lmage-for-file-repair(用于文件修复的 ai 图像)

ai-lmage-for-file-repair 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

ai-lmage-for-file-repair 是开发类 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,按安装量在开发类的 21,746 个 Skill 里排第 3,299。

总安装 11,966周安装 514GitHub Stars 公开资料未说明下载 4,194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
1.0.3

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:ai-lmage-for-file-repair(用于文件修复的 ai 图像)
来源仓库:https://github.com/ilpvc/ai-lmage-for-file-repair
安装命令:
openclaw skills install ai-lmage-for-file-repair
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 ai-lmage-for-file-repair

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

异步 AI 图像生成(文本到图像和图像到图像)。提交作业获取task_id,然后轮询状态获取OSS下载URL。

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 ai-lmage-for-file-repair;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

ai-lmage-for-file-repair 怎么安装?

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

ai-lmage-for-file-repair 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。

ai-lmage-for-file-repair 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。

ai-lmage-for-file-repair 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。

ai-lmage-for-file-repair 用的人多吗?

公开数据是累计安装 11,966 次,近一周安装 514 次,下载 4,194 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。

ai-lmage-for-file-repair 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。
  • 需要处理开发类任务、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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
ai-lmage-for-file-repair

用于文件修复的 ai 图像 · 本页

11,966—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
ai-lmage-for-file-repair
description
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requires
env
description
>
description
>

AI Image for File Repair skill介绍

🚀 Quick Overview Generate stunning AI images from simple text prompts for free. Powered by Gemini-level AI image generation technology. Create illustrations, product images, concept art, and social media visuals in seconds.

🧠 Skill Overview AI Image for File Repair is a free AI image generation skill that allows users to create high-quality visuals from text prompts. Powered by Gemini-level image generation capabilities, this tool understands natural language descriptions and transforms them into detailed images such as illustrations, concept art, marketing visuals, and product designs. Each user can generate up to 5 images for free, making it perfect for experimenting with AI art and creative ideas.

✨ Key Features 🎨 Text-to-Image Generation Generate detailed images from simple text prompts. ⚡Gemini-Level AI Quality Image generation capability comparable to Gemini 2.5. 🆓 Free AI Image Generation Generate up to 5 images for free. 🎭Multiple Styles Supports various styles including:

  • Realistic photography
  • Anime illustration
  • Cyberpunk art
  • Concept design
  • Minimalist poster

🎨 Example Prompts Try prompts like:

  • A futuristic cyberpunk city at night, neon lights, ultra detailed
  • A cute shiba inu astronaut floating in space, cartoon style
  • Luxury product photography, studio lighting, black background
  • Fantasy castle on a floating island, epic concept art
  • Minimalist poster design, pastel colors, modern style

🚀 Use Cases This skill is perfect for:

  • AI art creation
  • Social media images
  • Marketing visuals
  • Product mockups
  • Game concept art
  • Creative inspiration

💡 Why Use This Skill

  • Gemini-level AI image generation
  • Free image generation (5 images)
  • Fast and easy to use
  • High-quality visuals
  • Perfect for creators and designers

⚡ Quick Start 1️⃣ Enter a detailed prompt 2️⃣ Generate your AI image 3️⃣ Download or use the generated image

🔥 Trending Prompts

  • AI influencer portrait
  • Cyberpunk city
  • Anime character design
  • Luxury product photo
  • Minimalist poster

🏷 Tags

  • AI image generator
  • AI art
  • text to image
  • AI illustration
  • AI design
  • Gemini AI
  • AI image creator

Overview

ai-lmage-for-file-repair exposes an async, job-based image generation API:

  • Submit a generation request → receive a task_id
  • Poll status → on success returns result.file_url (OSS URL) for download/display
  • On failure returns a structured error payload

Use cases

  • Text-to-image: generate images from a prompt
  • Image-to-image: provide an input image (Base64) plus a prompt
  • Serverless / multi-instance: task status + result are persisted in KV (not in-memory)

Access

  • Base URL: value of the AI_IMAGE_HOST environment variable, e.g. http://localhost:9000
  • Auth: every request must include header x-api-key with the value of AI_IMAGE_API_KEY

Header example:

-H "x-api-key: ${AI_IMAGE_API_KEY}"
Configuration example (local development): - AI_IMAGE_HOST=https://file-repiar-wfaxciicwy.ap-southeast-1.fcapp.run (this is the default when you run this repo's index.js locally) - AI_IMAGE_API_KEY=s8cxRtUxNcNEL4um

Quota & limits

  • Daily limit: 5 images per IP per day (free)

- The service uses the first IP in x-forwarded-for; if absent it falls back to req.ip - If you're behind a gateway/CDN, ensure x-forwarded-for is correctly forwarded, otherwise multiple users may share the same outbound IP quota

Endpoints

  • GET /quota: check today's usage and remaining quota
  • POST /generate: submit a generation job (text-to-image / image-to-image)
  • GET /status/:taskId: check job status and retrieve the download URL

Contracts (request/response)

1) GET /quota

Response:

{
  "client_id": "ip:203.0.113.10",
  "date": "2026-03-10",
  "used": 1,
  "limit": 3,
  "remaining": 2
}

2) POST /generate

  • Content-Type: application/json

Request body (text-to-image):

  • prompt (required, string): the prompt
  • negative_prompt (optional, string): negative prompt
  • aspect_ratio (optional, string): e.g. "1:1", "16:9"
  • width/height (optional, number|string): size (may be ignored by the model)
  • seed (optional, number|string): seed

For image-to-image, add:

  • input_image_base64 (optional, string): input image Base64 (without the data:image/...;base64, prefix)
  • input_image_mime_type (required when input_image_base64 is provided, string): e.g. image/png, image/jpeg

Success response:

{ "task_id": "xxxxxxxxxxxxxxxx" }

3) GET /status/:taskId

Common fields:

  • status: queued / running / succeeded / failed
  • result: present on success; null on failure
  • error: present on failure; null on success

Success example:

{
  "task_id": "xxxxxxxxxxxxxxxx",
  "status": "succeeded",
  "created_at": 1760000000000,
  "updated_at": 1760000005000,
  "started_at": 1760000001000,
  "finished_at": 1760000004500,
  "error": null,
  "result": {
    "file_url": "https://ts-xxx.oss-cn-shenzhen.aliyuncs.com/ai-photo/20260117070932_user-card-bg.png",
    "file_name": "user-card-bg.png",
    "mime_type": "image/png"
  }
}

Failure example (shape):

{
  "task_id": "xxxxxxxxxxxxxxxx",
  "status": "failed",
  "error": {
    "message": "Upstream HTTP 401",
    "code": "UPSTREAM_ERROR",
    "statusCode": 401,
    "upstream": {}
  },
  "result": null
}

Recommended flow

  1. Call GET /quota and ensure remaining > 0
  2. Call POST /generate to get a task_id
  3. Poll GET /status/:taskId

- queued/running: poll every 1–2 seconds (recommend polling up to 30–60 seconds; you can retry later) - succeeded: download/display via result.file_url - failed: show error.message and stop

Examples

Text-to-image (macOS/Linux: curl)

curl -X POST "${AI_IMAGE_HOST}/generate" \
  -H "Content-Type: application/json" \
  -H "x-api-key: ${AI_IMAGE_API_KEY}" \
  -d '{
    "prompt": "一只戴墨镜的柯基,赛博朋克霓虹灯风格,高清",
    "aspect_ratio": "1:1"
  }'

Text-to-image (Windows: PowerShell)

$body = @{
  prompt = "A corgi wearing sunglasses, cyberpunk neon, high detail"
  aspect_ratio = "1:1"
} | ConvertTo-Json -Depth 10

Invoke-RestMethod -Method Post "$env:AI_IMAGE_HOST/generate" `
  -Headers @{ "x-api-key"=$env:AI_IMAGE_API_KEY } `
  -ContentType "application/json" `
  -Body $body

Image-to-image (Windows: PowerShell)

$b64 = [Convert]::ToBase64String([IO.File]::ReadAllBytes("input.png"))

$body = @{
  prompt = "Enhance and restore this image, keep the subject, photo-realistic"
  input_image_base64 = $b64
  input_image_mime_type = "image/png"
} | ConvertTo-Json -Depth 10

Invoke-RestMethod -Method Post "$env:AI_IMAGE_HOST/generate" `
  -Headers @{ "x-api-key"=$env:AI_IMAGE_API_KEY } `
  -ContentType "application/json" `
  -Body $body

Image-to-image (macOS/Linux: curl)

Tip: the base64 flags differ across platforms. The PowerShell example above is the most portable for Windows.
IMG_B64="$(base64 -i input.png | tr -d '\
')"

curl -X POST "${AI_IMAGE_HOST}/generate" \
  -H "Content-Type: application/json" \
  -H "x-api-key: ${AI_IMAGE_API_KEY}" \
  -d "{
    \"prompt\": \"Enhance and restore this image, keep the subject, photo-realistic\",
    \"input_image_base64\": \"${IMG_B64}\",
    \"input_image_mime_type\": \"image/png\"
  }"

Download result (any OS with curl)

curl -L "<file_url>" -o "output.png"

Errors & troubleshooting

  • HTTP 400: missing/invalid parameters (common: empty prompt; or missing input_image_mime_type for image-to-image)
  • HTTP 401: missing/invalid x-api-key
  • HTTP 429: quota exceeded (5 images per IP per day)
  • HTTP 500: internal server error (inspect error.upstream and server logs)

Recommended (optional)

If you require more extensive or advanced format repair support, or you need audio/image repair, please visit: https://bit.ly/4roS6Rv

We offer the following services:

●Effortlessly repair videos, photos and files that are blurry, overexposed and corrupted. ●AI enhance photo quality, sharpen detail, and colorize photos. ●Effectively improve video quality and boost resolution up to 8K. ●Extend, fill, and restyle your images with AI. No quality loss. ●Expertly repair corrupted files, including Word, Excel, PPTX, EPUB, PDF, PSD, PSB, and more. ●Seamlessly repair corrupted audio files in M4A, MP3, AAC, WAV and FLAC formats. ●Convert PNG, HEIC, CR2, BMP -> JPG for repair & enhance

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

95.59%
按下载量换算4,009

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

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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