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AI-powered MAP (Minimum Advertised Price) policy and enforcement skill. Helps brands create MAP policies, monitor violations across channels, manage dealer compliance, and design enforcement workflows.
Passed 18 of 22 test cases with the skill, and 15 of 22 without it.
3 fixed15 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
A buyer clicks 'Add to Cart' on an e-commerce storefront and the price drops from $150 to $120 on the final checkout screen. The product page listed the item as $150. Is this storefront violating standard advertised pricing rules?
| Checked | Without skill | With skill |
|---|---|---|
| Clarifies that checkout prices hidden behind cart actions generally do not violate MAP unless the policy explicitly restricts in-cart price displays | Missed | Passed |
The instructions your model reads when the skill loads.
AI-powered MAP (Minimum Advertised Price) policy and enforcement skill. Helps brands create MAP policies, monitor violations across channels, manage dealer compliance, and design enforcement workflows.
clawhub install minimum-advertised-price
Input: Brand name, product line, distribution channels, current pricing policy
Output: MAP policy document, violation monitoring plan, dealer compliance checklist, enforcement escalation procedures
"I run a [your business type] on [platform]. Help me set up minimum advertised price for my business. Here's my current situation: [describe context]."
Built by Nexscope AI — AI-powered e-commerce intelligence.
test cases passed, vs 15 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.