Check product images against a database of policy-violating items using visual similarity matching. Triggered when users mention policy compliance check, product image compliance review, violation detection, prohibited product screening, image-based compliance audit, pre-listing risk screening, or product image risk check. Even if the user does not explicitly say "compliance," this skill should be triggered whenever the need involves comparing product images against a violation database.
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This skill guides you on how to use the policy compliance detection tool to identify potential policy violations in product images. It performs image-based similarity search against a known database of prohibited products.
Policy Compliance Image Detection is an image-based compliance screening service. Given a product image URL, it searches for visually similar products in a database of known policy-violating items. The tool returns matching violations ranked by visual similarity.
Similarity score (cosine): A value between 0 and 1. Higher values indicate stronger visual resemblance to known violating products. A score close to 1.0 means the product image is nearly identical to a flagged violation.
| Parameter | Type | Required | Description | Example |
|---|---|---|---|---|
| Image URL | imageUrl | Yes | The URL of the product image to check (max 1000 chars) | https://example.com/product.jpg |
Key notes:
| Field | API Name | Description |
|---|---|---|
| Total Matches | total | Number of matching violation records found |
| Violation List | data | Array of matched violating products |
| Violation Image | pdImgOssUrl | Image URL of the matched violating product |
| Similarity Score | cosine | Similarity between the input image and the violation (0~1) |
| Product Title (EN) | pdTitle | English title of the matched violating product |
| Product Title (CN) | pdTitleCHNCensored | Chinese title of the matched violating product |
| Detection ID | detectId | Unique identifier for this detection session |
| Token Cost | costToken | Number of tokens consumed by this request |
POST /ruiguan/gunPartsSearch (see references/api.md for full parameters, responses, and error codes)python scripts/ruiguan_image_compliance_search.py '<JSON parameters>'Output strategy (script default behavior):
Data reading tip: Use jq or ConvertFrom-Json to extract specific fields from the response as needed.
1. Basic compliance check for a single product image
Check this product image for policy compliance: https://example.com/images/product-123.jpg
2. Batch checking multiple product images
Please scan these product images for potential policy violations:
- https://example.com/images/item-a.jpg
- https://example.com/images/item-b.jpg
3. Pre-listing compliance screening
Before I list this product, can you check if the image triggers any policy flags?
Image: https://example.com/new-product.png
pdImgOssUrl, display the matched violation image so the user can visually compareApplicable -- Image-based product policy compliance checks:
| User Says | Scenario |
|---|---|
| "Check if this product image has compliance risks" | Single image compliance check |
| "Scan my product images for policy violations" | Batch compliance screening |
| "Is this image flagged as a prohibited product" | Specific violation inquiry |
| "Pre-screen my listing images for policy risks" | Pre-listing compliance audit |
| "Find similar violations for this product image" | Similarity-based violation search |
Not applicable -- Needs beyond image-based policy compliance detection:
Set NEXSCOPE_API_KEY. Visit https://www.nexscope.ai/help/skills-external-access?co-from=skillNS to manage credits.
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