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reverse-image-search

Reverse image search (find image source, visually similar images). Use when user provides an image and wants to find its origin, similar images, or verify authenticity. Supports Yandex, Google, and Bing engines. Works with both URLs and local files. No API key required.

gushu3330 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install gushu333/reverse-image-search

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Reverse Image Search

Find the source, similar images, or context for any image using reverse image search engines.

Setup

On first use, create a Python venv and install the dependency:

SKILL_DIR="$(dirname "SKILL.md")"
python3 -m venv "$SKILL_DIR/scripts/.venv"
"$SKILL_DIR/scripts/.venv/bin/pip" install -q PicImageSearch

Usage

SKILL_DIR="$(dirname "SKILL.md")"
"$SKILL_DIR/scripts/.venv/bin/python3" "$SKILL_DIR/scripts/search.py" "<image_url_or_path>" [engine] [limit]
  • image_url_or_path: HTTP(S) URL or local file path
  • engine: yandex (default, most reliable), google, bing, or all
  • limit: Max results per engine (default: 10)

Output is JSON with matched results including title, URL, thumbnail, and similarity when available.

Engine Selection

  • yandex — Best overall: most stable, good at finding exact matches and similar images
  • google — Good for well-known images, web pages, products
  • bing — Useful as supplementary source
  • all — Query all three engines in parallel

Typical Workflow

  1. User provides image (URL or file attachment)
  2. Run search with yandex first
  3. If results are insufficient, retry with all
  4. Summarize findings: source, context, similar images

来源信息

Source
github
Repository
openclaw/skills
Path
skills/gushu333/reverse-image-search
Version
—
Commit
b851cc3a713ea8bfc8adad91b39a67e9b8b99df9
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# Reverse Image Search

Find the source, similar images, or context for any image using reverse image search engines.

## Setup

On first use, create a Python venv and install the dependency:

```bash
SKILL_DIR="$(dirname "SKILL.md")"
python3 -m venv "$SKILL_DIR/scripts/.venv"
"$SKILL_DIR/scripts/.venv/bin/pip" install -q PicImageSearch
```

## Usage

```bash
SKILL_DIR="$(dirname "SKILL.md")"
"$SKILL_DIR/scripts/.venv/bin/python3" "$SKILL_DIR/scripts/search.py" "<image_url_or_path>" [engine] [limit]
```

- **image_url_or_path**: HTTP(S) URL or local file path
- **engine**: `yandex` (default, most reliable), `google`, `bing`, or `all`
- **limit**: Max results per engine (default: 10)

Output is JSON with matched results including title, URL, thumbnail, and similarity when available.

## Engine Selection

- **yandex** — Best overall: most stable, good at finding exact matches and similar images
- **google** — Good for well-known images, web pages, products
- **bing** — Useful as supplementary source
- **all** — Query all three engines in parallel

## Typical Workflow

1. User provides image (URL or file attachment)
2. Run search with `yandex` first
3. If results are insufficient, retry with `all`
4. Summarize findings: source, context, similar images

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