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linkfox-multimodal-recognize-image（linkfox 多模态识别图像）

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

3,280

周安装

134

GitHub Stars

公开资料未说明

下载量

1,051
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：linkfox-multimodal-recognize-image（linkfox 多模态识别图像）
来源仓库：https://github.com/linkfox-ai/linkfox-multimodal-recognize-image
安装命令：
openclaw skills install linkfox-multimodal-recognize-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 linkfox-multimodal-recognize-image

简介

基于多模态AI对图片进行内容理解与OCR识别，支持描述、问答与文字提取。

  • 适用于商品图信息抽取、广告合规审查与素材分析，提升视觉数据处理效率。
  • 输入图片URL后返回结构化文本描述与识别出的文字内容，便于后续处理。
  • 复杂排版或多语言混合场景下OCR准确率受限，建议提供清晰单色背景图。
  • linkfox-multimodal-recognize-image 属于图像处理类 Skill，可作为该场景下的辅助能力补充。

SKILL.md

name
linkfox-multimodal-recognize-image
description
基于多模态AI的图片识别与分析。当用户想分析、描述、从图片URL中提取信息、image recognition, image analysis, image description, image content understanding, OCR text recognition, visual Q&A时触发此技能。当用户提到图片识别、图片分析、图片描述、识别图片内容、分析产品图、从图片中读取文字、描述图片、提取视觉内容或理解照片内容时触发。当用户提供图片URL并就其视觉内容提问时，即使未明确说"图片识别"，也应触发此技能。

Image Recognition

This skill guides you on how to use the multimodal image recognition API to analyze images from URLs and extract meaningful information based on user intent.

Core Concepts

The Image Recognition tool accepts an image URL and an optional natural-language requirement describing what the user wants to know about the image. The backend uses a multimodal AI model to interpret the visual content and return a textual description or analysis.

Supported formats: JPG, JPEG, PNG, GIF, WebP, BMP.

How it works: You provide a publicly accessible image URL and a requirement (what you want to learn from the image). The service downloads the image, runs multimodal analysis, and returns a text-based result.

Parameter Guide

ParameterRequiredDescription
imageUrlYesA publicly accessible URL pointing to the image. Must be JPG, JPEG, PNG, GIF, WebP, or BMP. Maximum 1000 characters.
requirementNoA natural-language description of what to identify or analyze in the image. Defaults to "Describe the content of this image" when omitted. Maximum 1000 characters.

Tips for Writing the requirement Parameter

  1. Be specific: Instead of "analyze this image", say "List all products visible on the shelf and estimate their category."
  2. State the goal: If you need text extraction, say "Extract all visible text from the image." If you need object identification, say "Identify the main objects and their colors."
  3. Provide context when helpful: For product images, mention "This is an e-commerce product listing image" so the model can tailor its analysis.

Usage Examples

1. General Image Description

  • User says: "What is in this picture?"
  • Set imageUrl to the provided URL, leave requirement as default.

2. Product Image Analysis

  • User says: "Analyze this Amazon product image and list the key selling points shown."
  • Set requirement to: "This is an Amazon product listing image. Identify the product, key features, and selling points visible in the image."

3. Text Extraction from an Image

  • User says: "Read the text in this screenshot."
  • Set requirement to: "Extract all visible text from this image, preserving layout where possible."

4. A+ Page Image Review

  • User says: "Describe what this A+ content image communicates."
  • Set requirement to: "This is an Amazon A+ product description image. Describe the visual content, key messaging, and branding elements."

5. Comparison / Detail Inspection

  • User says: "What differences can you spot between the product and its packaging?"
  • Set requirement to: "Identify and describe any differences between the product and its packaging shown in the image."

API Usage

This tool calls the LinkFox tool gateway API. See references/api.md for calling conventions, request parameters, and response structure. You can also execute scripts/multimodal_recognize_image.py directly to run queries.

Display Rules

  1. Show the analysis result clearly: Present the returned text analysis in a readable format. Use bullet points or paragraphs as appropriate for the content.
  2. No fabrication: Only relay information that the API actually returned. Do not add visual details that were not in the response.
  3. Format support: If the image URL is invalid or the format is unsupported, explain the limitation and list the supported formats (JPG, JPEG, PNG, GIF, WebP, BMP).
  4. Error handling: When the API returns an error status, explain the issue based on the response and suggest corrective actions (e.g., check that the URL is publicly accessible, verify the image format).
  5. Token usage: If the user asks about cost, you may mention the costToken value from the response.

User Expression & Scenario Quick Reference

Applicable -- Image analysis tasks:

User SaysScenario
"What's in this image/picture/photo"General image description
"Analyze this product image"Product visual analysis
"Read the text in this image"OCR / text extraction
"Describe the A+ page images"E-commerce content review
"What does this screenshot show"Screenshot interpretation
"Identify objects in this photo"Object detection / listing

Not applicable -- Needs beyond image recognition:

  • Generating or editing images
  • Video analysis
  • Analyzing images from local file paths (only URLs are supported)
  • Image search or reverse image lookup

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

  1. The functionality or purpose described in this skill does not match actual behavior
  2. The skill's results do not match the user's intent
  3. The user expresses dissatisfaction or praise about this skill
  4. Anything you believe could be improved

Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.

*For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.*

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

79.95%
按下载量换算840

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API；具体网络访问范围需要结合源码和 README 复核。

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

GitHub 仓库

github.com

/linkfox-ai/linkfox-multimodal-recognize-image

SKILL.md 来源

clawhub.ai

/linkfox-ai/linkfox-multimodal-recognize-image

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下一个 Skill

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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。