A multi-engine reverse image search tool designed to identify image origins and find visually similar content across the web.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install reverse-image-search
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install reverse-image-search using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Reverse Image Search?
The Reverse Image Search skill is a robust utility for identifying the source, context, and authenticity of any visual asset. By integrating this capability into Openclaw Skills, developers and researchers can quickly query multiple search engines—including Yandex, Google, and Bing—without the need for complex API keys. This tool is essential for verifying visual data and discovering high-quality versions of existing images.
Whether you are dealing with local files or remote URLs, this skill provides a streamlined interface for visual discovery. It enhances the Openclaw Skills library by offering a reliable way to perform deep image forensics and aesthetic research across the global web index.
Reverse Image Search Use Cases
- Finding the original creator or primary source of a specific image.
- Verifying the authenticity of social media photos to combat misinformation.
- Locating higher resolution versions or unwatermarked copies of a file.
- Identifying products, landmarks, or celebrities within a visual context.
- Researching visually similar design patterns and styles for creative projects.
How Reverse Image Search Works
- The user provides either a local file path or a public image URL as the search query.
- The system selects the target search engine, with Yandex as the default due to its high reliability.
- The skill executes a Python-based script that interfaces with the PicImageSearch library.
- Visual data is cross-referenced against the selected engine's index to find matches.
- The tool returns a structured JSON output containing titles, source URLs, and similarity scores.
Reverse Image Search Setup
To initialize this tool within your Openclaw Skills environment, set up the Python virtual environment and dependencies:
SKILL_DIR="$(dirname "SKILL.md")"
python3 -m venv "$SKILL_DIR/scripts/.venv"
"$SKILL_DIR/scripts/.venv/bin/pip" install -q PicImageSearch
Reverse Image Search Data Schema & Taxonomy
The skill generates structured data for every query performed. The results are formatted as follows:
| Attribute | Description |
|---|---|
| Title | The descriptive title or metadata of the matched image. |
| URL | The direct web link to the page hosting the image match. |
| Thumbnail | A preview URL of the matched image result. |
| Similarity | A numerical or qualitative score of the visual match (engine dependent). |
Reverse Image Search Advanced Features
- Multi-Engine Parallel Search: Use the 'all' engine parameter to query Yandex, Google, and Bing simultaneously.
- Local & Remote Support: Seamlessly handles both local filesystem paths and standard HTTP(S) image URLs.
- Zero-Credential Operation: Perform complex reverse searches without requiring individual search engine API keys.
- Customizable Result Limits: Control the depth of the search by setting a specific limit on the number of results returned per engine.
SKILL.md
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