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OpenClaw

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 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install gushu333/reverse-image-search

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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

Source information

Source
github
Repository
openclaw/skills
Path
skills/gushu333/reverse-image-search
Version
—
Commit
b851cc3a713ea8bfc8adad91b39a67e9b8b99df9
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

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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