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Sellersprite Competitor

v1.0.0

使用卖家精灵数据在亚马逊上查找和分析竞品,覆盖12个站点,包含销量、BSR、定价、评分和增长趋势等商品指标。当用户提到竞品查询、竞品分析、ASIN反查、竞争商品研究、查找相似商品、市场竞品发现、商品对标、竞品销量估算、分析竞争Listing、competitor analysis, ASIN reverse lo...

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Sellersprite Competitor" (linkfox-ai/linkfox-sellersprite-competitor) from ClawHub.
Skill page: https://clawhub.ai/linkfox-ai/linkfox-sellersprite-competitor
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

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Use the direct CLI path if you want to install manually and keep every step visible.

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openclaw skills install linkfox-sellersprite-competitor

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npx clawhub@latest install linkfox-sellersprite-competitor
Security Scan
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Purpose & Capability
The SKILL.md, api.md, and the included Python script consistently describe calling LinkFox's SellerSprite competitor-lookup API and returning Amazon competitor metrics — this matches the skill name/description. However, the skill metadata declares no required environment variables or credentials while both references/api.md and scripts/sellersprite_competitor_lookup.py require an API key (LINKFOXAGENT_API_KEY). That omission is an incoherence between claimed requirements and actual runtime needs.
Instruction Scope
Runtime instructions and examples are narrowly focused on building requests to the external tool-gateway.linkfox.com API (and a separate feedback endpoint). The SKILL.md does not instruct the agent to read unrelated files, secrets, or system paths. The trigger rules are broad (activate when user intent is about competitor research) but within the described domain.
Install Mechanism
There is no install spec; this is an instruction-only skill with one small helper script. Nothing is downloaded or written to disk by the skill itself, which minimizes install-time risk.
!
Credentials
The skill requires an API key (LINKFOXAGENT_API_KEY) to call the LinkFox gateway as shown in api.md and enforced in the Python script, but the skill metadata lists no required env vars or primary credential. Requesting a single API key for the external service is proportionate to the described function, but the manifest omission is a significant inconsistency that could cause surprise or misconfiguration. Also there is no published homepage or provenance for the skill owner, so providing an API key to an unknown third party carries risk.
Persistence & Privilege
The skill does not request always:true and does not modify other skills or system settings. It runs as-needed and requires the API key only to contact the external API; no elevated or persistent platform privileges are requested.
What to consider before installing
This skill's code and docs show it calls an external LinkFox SellerSprite API and needs an API key (LINKFOXAGENT_API_KEY), but the skill manifest incorrectly states no env vars are required and there is no homepage or verified publisher. Before installing: 1) Confirm the provider (tool-gateway.linkfox.com / LinkFox) is trustworthy and that you expect to share an API key with them. 2) Do not reuse high-privilege keys—create a limited/test key if possible. 3) Ask the publisher to correct the manifest to declare LINKFOXAGENT_API_KEY as a required credential and to provide provenance/homepage. 4) If you cannot verify the service or publisher, avoid installing or restrict network access and test in a sandbox. The included Python script is short and readable (no obfuscation), so the primary concern is the missing manifest declaration and unknown origin rather than hidden code behavior.

Like a lobster shell, security has layers — review code before you run it.

latestvk97f32jw7c4ps2gd72j00qjb0984079w
94downloads
0stars
1versions
Updated 3w ago
v1.0.0
MIT-0

SellerSprite Competitor Lookup

This skill guides you on how to query and analyze Amazon competitor product data, helping Amazon sellers discover competing products, benchmark performance, and extract actionable competitive intelligence.

Core Concepts

The SellerSprite Competitor Lookup tool provides comprehensive Amazon product data across 12 marketplaces. It allows querying products by ASIN, keyword, seller name, brand, or category, and returns detailed metrics including monthly sales volume, revenue, BSR ranking, pricing, ratings, and growth trends.

Data snapshots: The tool supports both real-time data (last 30 days) and historical monthly snapshots. Use nearly (default) for current data or a yyyyMM format (e.g., 202501) for historical snapshots. Historical snapshots capture all active listings for that month, enabling year-over-year and seasonal comparisons.

Category hierarchy: Amazon category names support multi-level paths separated by colons (:). For example, Electronics:Computers & Accessories:Monitors. Convert user-provided category descriptions into the proper colon-separated format.

Supported Marketplaces

US (United States), UK (United Kingdom), DE (Germany), FR (France), JP (Japan), CA (Canada), IT (Italy), ES (Spain), MX (Mexico), AU (Australia), TR (Turkey), IN (India)

Default marketplace is US. Use US when the user does not specify a marketplace.

Parameter Guide

Search Filters

ParameterDescriptionExample
marketplaceAmazon marketplace codeUS, UK, DE, JP
keywordSearch keyword (translate to the marketplace language)wireless earbuds
asinListOne or more ASINs, comma-separated (max 40)B072MQ5BRX,B08N5WRWNW
sellerNameSeller name to filter byAnker Direct
brandBrand name to filter byAnker
nodeLabelAmazon category name (colon-separated levels)Electronics:Headphones
nodeIdPathAmazon category ID path172282
matchTypeKeyword match mode: 1 = phrase, 2 = fuzzy, 3 = exact (default 1)1
showVariationShow product variations: Y or N (default N)N
dataSnapshotMonthData snapshot month (nearly for real-time, or yyyyMM)nearly

Pagination & Sorting

ParameterDescriptionExample
pagePage number, starting from 11
sizeResults per page, 10-100 (default 50)50
order.fieldSort field (see sort options below)total_units
order.descSort direction: true = descending, false = ascendingtrue

Sort Field Options

FieldDescription
total_unitsMonthly sales units
total_amountMonthly sales revenue
bsr_rankBSR ranking
pricePrice
ratingRating score
reviewsNumber of reviews
profitGross margin
reviews_rateReview rate
available_dateListing date
questionsQ&A count
total_units_growthMonthly sales unit growth rate
total_amount_growthMonthly revenue growth rate
reviews_increasementMonthly new reviews
bsr_rank_cv7-day BSR growth count
bsr_rank_cr7-day BSR growth rate
amz_unitVariant sales units

Key Response Fields

FieldDescription
asinProduct ASIN
titleProduct title
priceCurrent price
monthlySalesUnitsMonthly sales volume
monthlySalesRevenueMonthly sales revenue
bsrBSR ranking
bsrGrowthRateBSR growth rate
bsrGrowthCountBSR growth count
ratingRating score
ratingsNumber of ratings
ratingsGrowthMonthly new ratings
ratingsRateReview rate
brandBrand name
sellerNameBuyBox seller
sellerNationBuyBox seller nationality
fulfillmentFulfillment type (AMZ/FBA/FBM)
availableDateStringListing date
profitGross margin
nodeLabelPathCategory path
imageUrlProduct image URL
monthlySalesUnitsGrowthRateMonthly sales growth rate
listingQualityScoreListing quality score
variationNumNumber of variations
parentParent ASIN
badgeBestSellerBest Seller badge (Y/N)
badgeAmazonChoiceAmazon's Choice badge (Y/N)
badgeEbcA+ Content (Y/N)
badgeVideoVideo present (Y/N)

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/sellersprite_competitor_lookup.py directly to run queries.

Usage Examples

1. Look up competitors by ASIN

{
  "marketplace": "US",
  "asinList": "B072MQ5BRX,B08N5WRWNW"
}

Use case: Analyze specific competing products by their ASINs.

2. Search competitors by keyword

{
  "marketplace": "US",
  "keyword": "wireless earbuds",
  "matchType": 1,
  "order": {"field": "total_units", "desc": "true"},
  "size": 20
}

Use case: Discover top-selling products for a keyword, sorted by monthly sales.

3. Filter by brand and category

{
  "marketplace": "US",
  "brand": "Anker",
  "nodeLabel": "Electronics:Headphones",
  "order": {"field": "total_amount", "desc": "true"}
}

Use case: Analyze a specific brand's product lineup within a category.

4. Find products by seller name

{
  "marketplace": "DE",
  "sellerName": "Anker Direct",
  "order": {"field": "bsr_rank", "desc": "false"}
}

Use case: View all products from a particular seller sorted by BSR.

5. Historical snapshot comparison

{
  "marketplace": "US",
  "keyword": "space heater",
  "dataSnapshotMonth": "202412",
  "order": {"field": "total_units", "desc": "true"},
  "size": 20
}

Use case: Analyze seasonal product performance using historical data snapshots.

6. Show product variations

{
  "marketplace": "JP",
  "asinList": "B0XXXXXXXXX",
  "showVariation": "Y"
}

Use case: Examine all variation-level data for a product family.

Display Rules

  1. Present data clearly: Show query results in well-formatted tables. Include key metrics such as ASIN, title, price, monthly sales, BSR, rating, and brand. Do not provide subjective business advice unless the user asks for it.
  2. Keyword language: When searching by keyword, always translate the keyword to the target marketplace language (e.g., English for US/UK, German for DE, Japanese for JP). Remind the user of this if they provide keywords in the wrong language.
  3. BSR clarification: When displaying BSR data, remind users that a lower BSR value indicates stronger sales performance.
  4. Growth metrics: When showing growth rates, clarify whether positive values mean improvement or decline (positive BSR growth count means BSR increased, which means worsened ranking).
  5. Pagination notice: When the total result count exceeds the returned page size, inform the user of the total count and offer to fetch additional pages.
  6. Badge highlights: When products carry badges (Best Seller, Amazon's Choice, A+ Content, Video), highlight these in the results as they are important competitive signals.
  7. Error handling: When a query fails, explain the reason based on the message field and suggest adjusting query parameters.
  8. Snapshot guidance: When users want to do seasonal or trend analysis, proactively suggest using historical snapshots (e.g., last year's same month) for comparison.

Important Limitations

  • Result cap: Each page returns 10-100 records (controlled by size). Use pagination for larger result sets.
  • ASIN limit: A maximum of 40 ASINs can be queried at once via asinList.
  • Historical snapshots: Only existing monthly snapshots can be queried; future dates are not supported.
  • Keyword language: Keywords should match the marketplace language for best results.

User Expression & Scenario Quick Reference

Applicable -- Amazon competitor product data queries:

User SaysScenario
"Find competitors for this ASIN"ASIN-based competitor lookup
"Top sellers for wireless earbuds"Keyword-based product discovery
"What is this seller selling"Seller product portfolio analysis
"Show me products in Electronics category"Category-based browsing
"Monthly sales for these ASINs"Sales estimation for specific products
"New products gaining traction"Growth trend detection
"Compare products across brands"Brand benchmarking
"How was this niche last December"Historical snapshot analysis
"Best sellers with high ratings"Multi-metric filtering
"FBA vs FBM in this category"Fulfillment type analysis

Not applicable -- Needs beyond competitor product data:

  • ABA search term data or keyword ranking (use ABA Data Explorer instead)
  • Advertising / PPC campaign management
  • Product reviews content or sentiment analysis
  • Listing copywriting or optimization suggestions
  • Supplier sourcing or manufacturing costs
  • Account health or policy compliance

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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