---
name: linkfox-ruiguan-graphic-trademark
description: 产品图片的图形商标检测与相似度搜索。当用户提到商标检测、图形商标搜索、Logo侵权检查、商标相似度分析、图片商标风险评估、产品图片商标筛查、graphic trademark detection, logo infringement, trademark similarity, trademark risk, image trademark screening, Ruiguan时触发此技能。即使用户未明确说"商标检测"，只要其需求涉及将产品图片与已注册的图形商标进行比对或评估商标侵权风险，也应触发此技能。
---

# Ruiguan Graphic Trademark Detection

This skill guides you on how to detect graphic trademarks in product images, helping e-commerce sellers and brand owners identify potential trademark infringement risks before listing products.

## Core Concepts

Graphic trademark detection analyzes a product image to find visually similar registered trademarks across multiple countries and regions. The tool uses YOLO-based object detection to locate logo-like regions in the image, then compares them against trademark databases worldwide.

**Similarity score**: A higher `similarity` value means the detected graphic is more visually similar to the registered trademark. Values closer to 1.0 indicate near-identical matches and higher infringement risk.

**Trademark status meanings**:
| Status | Meaning |
|--------|---------|
| registered | Trademark is actively registered |
| act | Trademark is active |
| pend | Trademark application is pending |
| filed | Trademark application has been filed |
| ended | Trademark has expired |
| DEL | Trademark has been deleted/cancelled |

## Parameter Guide

| Parameter | Required | Description | Default |
|-----------|----------|-------------|---------|
| imageUrl | Yes | Product image URL or base64-encoded image data | - |
| topNumber | Yes | Maximum number of detection results to return (1-100) | 5 |
| productTitle | No | Product title, helps improve detection accuracy | - |
| trademarkName | No | Suspected logo name, helps narrow down results | - |
| regions | No | Country/region codes to check, comma-separated. If omitted, all countries are searched | All |
| enableLocalizing | No | Whether to enable image cropping for detected regions | false |
| enableRadar | No | Whether to enable radar monitoring | true |

### Supported Regions

US (United States), WO (WIPO), ES (Spain), GB (United Kingdom), DE (Germany), IT (Italy), CA (Canada), MX (Mexico), EM (European Union), AU (Australia), FR (France), JP (Japan), TR (Turkey), BX (Benelux), CN (China)

When the user does not specify a region, omit the `regions` parameter so all countries are searched by default.

## Local Image Upload

This tool requires a **publicly accessible image URL**. If the user provides a local image file path (e.g., `C:\Users\...\photo.png`, `/home/.../image.jpg`), you must upload it first to obtain a public URL.

Run the upload script:
```bash
python scripts/upload_image.py /path/to/local/image.png
```

The script will return a public URL (valid for 24 hours) that can be used as the image URL parameter.

## Usage Examples

**1. Basic image trademark check**
Detect trademarks in a product image across all regions, returning up to 10 results:
```
imageUrl: "https://example.com/product-image.jpg"
topNumber: 10
```

**2. Region-specific trademark check**
Check a product image against US and EU trademark databases only:
```
imageUrl: "https://example.com/product-image.jpg"
topNumber: 5
regions: "US,EM"
```

**3. Detailed check with product context**
Provide product title and suspected logo name for more accurate detection:
```
imageUrl: "https://example.com/product-image.jpg"
topNumber: 10
productTitle: "Wireless Bluetooth Headphones with Noise Cancellation"
trademarkName: "SonicWave"
regions: "US,GB,DE"
```

**4. Full detection with image cropping**
Enable localizing to get cropped images of detected logo regions:
```
imageUrl: "https://example.com/product-image.jpg"
topNumber: 20
enableLocalizing: true
regions: "US"
```

## 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/ruiguan_trademark_graphic_detection.py` directly to run detections.

## Display Rules

1. **Present results clearly**: Show detection results in a well-structured table including trademark image, similarity score, trademark name, status, registration office, Nice classification, applicant name, and key dates
2. **Highlight high-risk matches**: When similarity is above 0.8, explicitly warn the user about high infringement risk
3. **Explain trademark status**: When showing results, clarify what each trademark status means for the user's risk assessment
4. **Radar results**: If `radarResult` is present in the response, display it prominently as it contains aggregated risk assessment
5. **Sub-radar results**: If individual items contain `subRadarResult`, include this information alongside each match
6. **Region context**: Always indicate which regions were searched so the user understands the scope of the check
7. **Error handling**: When a detection fails, explain the reason based on the response and suggest adjustments (e.g., using a clearer image, specifying regions, adjusting topNumber)
## Important Limitations

- **Image requirement**: The `imageUrl` parameter is mandatory; the tool cannot perform detection without an image
- **Result cap**: The `topNumber` parameter caps at 100 results per request
- **Image quality**: Detection accuracy depends on image resolution and clarity; higher quality images yield better results
- **Region coverage**: Not all countries are covered; the supported list includes 15 major trademark offices

## User Expression & Scenario Quick Reference

**Applicable** -- Graphic trademark detection tasks:

| User Says | Scenario |
|-----------|----------|
| "Check if this image has trademark issues" | Basic trademark detection |
| "Is this logo registered anywhere" | Multi-region trademark search |
| "Trademark risk for my product image" | Product listing risk assessment |
| "Find similar trademarks to this graphic" | Similarity search |
| "Check this image against US trademarks" | Region-specific detection |
| "Does this design infringe any trademark" | Infringement risk check |
| "Scan my product photo for logos" | Logo detection in product images |

**Not applicable** -- Needs beyond graphic trademark detection:
- Text/word trademark search (no image involved)
- Trademark registration or filing
- Patent or copyright checks
- Legal advice on trademark disputes
- Product listing optimization

**Boundary judgment**: When users say "check my product" or "is this safe to sell", if the concern relates to graphic elements or logos in product images potentially infringing registered trademarks, this skill applies. If they are asking about text trademarks, patent issues, or general legal compliance, it does not apply.


**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.

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## Handling Large Responses

To avoid overflowing the agent context, persist the response to disk and extract only the fields you need:

```
python scripts/response_io.py run --script scripts/ruiguan_trademark_graphic_detection.py --out-dir <DIR> '<params>'
python scripts/response_io.py read <file> --fields "<paths>"   # or --path "<JMESPath>"
```

> Pick `--out-dir` outside any git working tree (e.g. `/tmp/...` on Unix, `%TEMP%/...` on Windows). Persisted responses may contain PII, pricing, or auth-sensitive data — do not commit them. Files are not auto-deleted; clean up when the task is done.

> This skill exposes multiple entry scripts: `ruiguan_trademark_graphic_detection.py`, `upload_image.py`. Pass `--script scripts/<name>.py` to choose the one you need.

`run` writes the full response to a file and emits only a schema preview + file path. `read` projects specific fields, with `--limit/--offset` for slicing and `--format json|jsonl|csv|table` for output.

**When to prefer this pattern** — apply your judgment based on the response characteristics, e.g.:
- High field count per record, or fields you don't need
- Batch/paginated results (multiple items per call)
- Long-text fields (descriptions, reviews, HTML, time series)
- Output reused across later steps rather than consumed immediately

For small, single-use responses, calling the main script directly is fine.

⚠️ The preview is a truncated schema + sample, not the full data. Any field-level decision must read from the persisted file via `read`.
<!-- /LF_LARGE_RESPONSE_BLOCK -->

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