Policy Compliance Image Detection

SkillSearch

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.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Policy Compliance Image Detection skill

What this skill tells your AI

The instructions your AI receives, as published by nexscope-ai/nexscope-ecommerce-skills in ecommerce-ruiguan-gun-parts-search/SKILL.md and read by ahel’s review.

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.

Core Concepts

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 Guide

ParameterTypeRequiredDescriptionExample
Image URLimageUrlYesThe URL of the product image to check (max 1000 chars)https://example.com/product.jpg

Key notes:

  • The image URL must be publicly accessible
  • Supported formats include common image types (JPG, PNG, etc.)
  • The URL must not exceed 1000 characters

Response Fields

FieldAPI NameDescription
Total MatchestotalNumber of matching violation records found
Violation ListdataArray of matched violating products
Violation ImagepdImgOssUrlImage URL of the matched violating product
Similarity ScorecosineSimilarity between the input image and the violation (0~1)
Product Title (EN)pdTitleEnglish title of the matched violating product
Product Title (CN)pdTitleCHNCensoredChinese title of the matched violating product
Detection IDdetectIdUnique identifier for this detection session
Token CostcostTokenNumber of tokens consumed by this request

Usage

  • API Endpoint: POST /ruiguan/gunPartsSearch (see references/api.md for full parameters, responses, and error codes)
  • Python Script: python scripts/ruiguan_image_compliance_search.py '<JSON parameters>'

Output strategy (script default behavior):

  • Prints the full JSON response to stdout

Data reading tip: Use jq or ConvertFrom-Json to extract specific fields from the response as needed.

Usage Examples

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

Display Rules

  1. Show results in a clear table: Present each matched violation with its image, similarity score, and product titles
  2. Highlight high-similarity matches: When the cosine score exceeds 0.8, clearly flag the result as a strong match that likely requires attention
  3. Include violation images: When results contain pdImgOssUrl, display the matched violation image so the user can visually compare
  4. Score interpretation: Always explain what the similarity score means -- higher values indicate closer resemblance to known violations
  5. Error handling: When a query fails, explain the issue and suggest checking whether the image URL is valid and publicly accessible
  6. No legal advice: Present detection results factually without providing legal conclusions; remind users to verify with platform policies

Important Limitations

  • Image-only detection: This tool works exclusively with image URLs; it does not analyze text descriptions or product metadata
  • URL accessibility: The image URL must be publicly reachable by the detection service
  • URL length cap: Image URLs must not exceed 1000 characters
  • Similarity-based: Results are based on visual similarity and do not constitute a definitive policy ruling

User Expression & Scenario Quick Reference

Applicable -- Image-based product policy compliance checks:

User SaysScenario
"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:

  • Text-based product compliance analysis
  • General product category classification
  • Intellectual property / trademark infringement
  • Patent or copyright detection (use other detection skills)

Authentication

Set NEXSCOPE_API_KEY. Visit https://www.nexscope.ai/help/skills-external-access?co-from=skillNS to manage credits.

Signals

GitHub stars
67
Forks
9
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
ecommerce-ruiguan-gun-parts-search
Source
github.com/nexscope-ai/nexscope-ecommerce-skills
Policy Compliance Image Detection: Skill · ahel