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linkfox-ai

Sif Asin Summary

by linkfox-ai · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install linkfox-sif-asin-summary
Description
使用SIF(搜索情报框架)数据分析ASIN的流量来源构成与曝光分布,覆盖本期/上期/新进/退出周期对比。当用户提到ASIN流量来源、流量结构分析、自然流量与付费流量占比、曝光得分拆解、周期对比、新进/退出流量词、竞品流量分析、SP广告关键词数量、品牌广告曝光、Amazon's Choice曝光、编辑推荐曝光、To...
README (SKILL.md)

SIF ASIN Summary

This skill guides you on how to query and analyze ASIN-level traffic source data, helping Amazon sellers understand the exposure and traffic structure of any product across multiple channels.

Core Concepts

SIF (Search Intelligence Framework) ASIN Summary provides a comprehensive breakdown of an ASIN's traffic sources on Amazon. It reveals how a product's total exposure is distributed across organic search, Sponsored Products ads, brand ads, video ads, Amazon's Choice, Editorial Recommendations, and Top Rated recommendations. This is essential for competitive analysis and traffic strategy optimization.

Exposure score: A composite metric reflecting the overall visibility of a product across all keywords in a given channel. A higher score means greater exposure. The exposure ratio fields show what percentage of total exposure comes from each channel (values range 01 or 0100 depending on the field).

Traffic keyword count: The total number of keywords through which a product is discovered, broken down by channel (organic search, SP ads, brand ads, video ads, etc.).

Data Fields

Field-name suffixes: *Prev = previous-period value; *In / *Out = keywords entering / exiting this period (for period-over-period comparison).

Field API Name Description
ASIN asin Amazon Standard Identification Number
Product Title productTitle Full product title on Amazon
Product Category productCategory Product category on Amazon
Product Price productPrice Current listing price
Product Image URL productImageUrl Main product image link
Product Features productFeatures Bullet-point product features list
Customer Rating Count customerRatingCount Total number of customer ratings
Product Star Rating productStarRating Product star rating (0–5)
Product Rating Score productRatingScore Product rating score (0–5, as shown on Amazon)
Is Variant Product isVariantProduct Whether the ASIN is a variant (e.g., different color/size)
Recent Monthly Sales Bucket recentMonthlySalesBucket Bucketed last-month sales (e.g. "300+", "1,000+") — only populated for keywordSummary path
Is Monitored isMonitored Whether the ASIN is on the monitoring list
Monitoring Start Time monitoringStartTime When the ASIN was added to monitoring
Data Period Start Date dataPeriodStartDate Start date of the returned data period (yyyy-MM-dd)
Total Exposure Score totalExposureScore Composite exposure score across all channels
Total Exposure Score Prev totalExposureScorePrev Total exposure score in the previous period
Total Traffic Keyword Count totalTrafficKeywordCount Total keywords across all channels
Total Keywords In / Out / Prev totalTrafficKeywordCountIn / Out / Prev New / exited / previous-period counterparts
Natural Search Exposure Score naturalSearchExposureScore Exposure score from organic search
Natural Search Exposure Ratio naturalSearchExposureRatio Organic search share of total exposure
Natural Search Exposure Score Prev naturalSearchExposureScorePrev Previous-period organic exposure score
Natural Search Keyword Count naturalSearchKeywordCount Keywords found in organic search results
Natural Keywords In / Out / Prev naturalSearchKeywordCountIn / Out / Prev New / exited / previous-period counterparts
SP Ad Exposure Score sponsoredProductsExposureScore Exposure score from Sponsored Products ads
SP Ad Exposure Ratio sponsoredProductsExposureRatio SP ad share of total exposure
SP Ad Exposure Score Prev sponsoredProductsExposureScorePrev Previous-period SP exposure score
SP Ad Keyword Count sponsoredProductsKeywordCount Keywords with SP ad placements
Brand Ad Exposure Score brandAdExposureScore Exposure score from brand ads
Brand Ad Exposure Ratio brandAdExposureRatio Brand ad share of total exposure
Brand Ad Exposure Score Prev brandAdExposureScorePrev Previous-period brand ad exposure score
Brand Ad Keyword Count brandAdKeywordCount Total brand ad keywords
Top Brand Ad Keyword Count topBrandAdKeywordCount Keywords in top-of-page brand ads
Bottom Brand Ad Keyword Count bottomBrandAdKeywordCount Keywords in bottom-of-page brand ads
Video Ad Exposure Score videoAdExposureScore Exposure score from video ads
Video Ad Exposure Ratio videoAdExposureRatio Video ad share of total exposure
Video Ad Exposure Score Prev videoAdExposureScorePrev Previous-period video ad exposure score
Video Ad Keyword Count videoAdKeywordCount Keywords with video ad placements
Amazon's Choice Exposure Score amazonsChoiceExposureScore Exposure score from AC badge
Amazon's Choice Exposure Ratio amazonsChoiceExposureRatio AC share of total exposure
Amazon's Choice Exposure Score Prev amazonsChoiceExposureScorePrev Previous-period AC exposure score
Amazon's Choice Keyword Count amazonsChoiceKeywordCount Keywords with AC badge
AC Keywords In / Out amazonsChoiceKeywordCountIn / Out New / exited AC keywords this period
Editorial Recommendations Exposure Score editorialRecommendationsExposureScore Exposure from editorial recommendations
Editorial Recommendations Exposure Ratio editorialRecommendationsExposureRatio ER share of total exposure
Editorial Recommendations Keyword Count editorialRecommendationsKeywordCount Keywords with ER placements
Top Rated Exposure Score topRatedExposureScore Exposure from Top Rated recommendations
Top Rated Exposure Ratio topRatedExposureRatio TR share of total exposure
Top Rated Keyword Count topRatedKeywordCount Keywords with TR placements
Frequently Bought Keyword Count frequentlyBoughtKeywordCount Keywords in frequently-bought recommendations
Recommend Position Exposure Score recommendPositionExposureScore Total recommendation-position exposure score
Recommend Ad Exposure Score recommendAdExposureScore Ad portion of recommendation-position exposure
Recommend Non-ad Exposure Score recommendNonadExposureScore Non-ad portion of recommendation-position exposure
Non-AC Recommend Exposure Score nonAcRecommendExposureScore Recommendation-position exposure excluding AC slots
Recommend Keyword Count recommendKeywordCount Total recommendation-position keywords
Recommend Ad Keyword Count recommendAdKeywordCount Ad portion of recommendation keywords
Recommend Non-ad Keyword Count recommendNonadKeywordCount Non-ad portion of recommendation keywords
PPC Traffic Sources ppcTrafficSources List of paid ad types (SP, Top Brand Ad, Bottom Brand Ad, Video Ad)
Natural Search Traffic Sources naturalSearchTrafficSources Organic search type markers
Amazon Recommendation Sources amazonRecommendationSources Recommendation types (Best Seller, AC, ER, TR, TRFOB, etc.)
Promotional Deal Sources promotionalDealSources Active promotions (Coupon, Limited Time Deal, Lowest Price in 30 Days, etc.)

Supported Marketplaces

13 marketplaces: US (United States), UK (United Kingdom), DE (Germany), CA (Canada), JP (Japan), FR (France), ES (Spain), IT (Italy), MX (Mexico), AU (Australia), AE (United Arab Emirates), BR (Brazil), SA (Saudi Arabia).

Default marketplace is US. Use US when the user does not specify a marketplace. Codes outside this list will be rejected by the API pattern.

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/sif_asin_summary.py directly to run queries.

Parameter Guide

searchValue (required)

One or more ASIN codes separated by commas. Maximum 10 ASINs per request.

  • Single ASIN: B0XXXXXXXX
  • Multiple ASINs: B0XXXXXXXX,B0YYYYYYYY,B0ZZZZZZZZ

country (optional)

Marketplace code. Defaults to US. See the Supported Marketplaces section for all valid codes.

Time window (optional)

  • last7d (boolean, default true): Use the latest 7 days. When false, the API uses startDate/endDate to define the window.
  • startDate (string, yyyy-MM-dd): Start date for a custom window. Takes effect when last7d=false; if omitted, the system's latest ABA week is used.
  • endDate (string, yyyy-MM-dd): End date paired with startDate.

conditions (optional)

Comma-separated traffic-channel filters. Only returns ASIN-summary rows that have traffic from at least one of the listed channels. Valid values:

  • nf — natural search
  • sp — SP ads
  • sb — SB regular
  • sbv — video ads (SBV)
  • ad — any ad traffic
  • acAd — SP recommendation
  • totalPeriod.in — newly-entered traffic keywords this period

sortBy (optional)

Sort field. Leave empty for system default. Valid values:

totalKeywordNum (total keyword count), naturalKeywordNum (natural keyword count), brandKeywordNum (brand ad keyword count), vedioKeywordNum (video ad keyword count), acKeywordNum (AC keyword count), erKeywordNum (ER keyword count), trKeywordNum (TR keyword count), sumScore (all-keyword total exposure), totalNfScore (all natural exposure), totalSpSocre (all SP exposure; note the spelling), totalBrandScore (all brand ad exposure), totalVedioScore (all video ad exposure), totalAcScore (all AC exposure), totalTrScore (all TR exposure), totalErScore (all ER exposure).

Pagination

  • pageNum: Page number, defaults to 1
  • pageSize: Results per page, minimum 10, maximum 10000, defaults to 10000

Sorting

  • desc: Sort in descending order when true (default), ascending when false

Usage Examples

1. Single ASIN traffic breakdown

"Show me the traffic sources for B09V3KXJPB on the US marketplace"

Query with searchValue = "B09V3KXJPB", country = "US".

2. Multi-ASIN competitor comparison

"Compare traffic structures of B09V3KXJPB and B0BN1K7WJP on Amazon US"

Query with searchValue = "B09V3KXJPB,B0BN1K7WJP", country = "US".

3. Specific marketplace query

"Analyze traffic sources for B07XJ8C8F5 on Amazon Japan"

Query with searchValue = "B07XJ8C8F5", country = "JP".

4. Organic vs paid traffic analysis

"What percentage of B09V3KXJPB's exposure comes from organic search vs ads?"

Query the ASIN, then compare naturalSearchExposureRatio against sponsoredProductsExposureRatio, brandAdExposureRatio, and videoAdExposureRatio.

5. Ad channel deep-dive

"How many keywords does B0BN1K7WJP advertise on through SP, brand ads, and video ads?"

Query the ASIN and present sponsoredProductsKeywordCount, brandAdKeywordCount, topBrandAdKeywordCount, bottomBrandAdKeywordCount, and videoAdKeywordCount.

6. Period-over-period comparison

"How did this ASIN's total keywords change compared to last week?"

Query the ASIN and present totalTrafficKeywordCount (current), totalTrafficKeywordCountPrev (previous), totalTrafficKeywordCountIn (new this period), totalTrafficKeywordCountOut (exited this period). Do the same for the natural-search variant with the naturalSearchKeywordCount* family.

7. Custom date range

"Traffic structure for B0XXX between 2026-03-08 and 2026-03-14"

searchValue: "B0XXX", country: "US", last7d: false, startDate: "2026-03-08", endDate: "2026-03-14"

8. Filter by traffic channel and sort by SP exposure

"Top SP-running ASINs among my 10 products, sorted by SP exposure"

searchValue: "B0A,B0B,...,B0J", conditions: "sp", sortBy: "totalSpSocre", desc: true

Display Rules

  1. Present data clearly: Show query results in well-structured tables; separate product metadata, current-period scores, keyword counts, and period-over-period comparison columns into logical groups for readability
  2. Percentage formatting: When displaying exposure ratios, format them as percentages (e.g., 0.45 as 45.0%) for easier comprehension
  3. Traffic structure summary: When a user queries a single ASIN, proactively summarize the traffic structure (e.g., "65% organic, 25% SP ads, 10% brand ads") to give an at-a-glance overview
  4. Period annotation: Whenever showing *In / *Out / *Prev fields, label the period explicitly (e.g., "vs. previous 7 days"; or the resolved startDate ~ endDate range). Do not present period-over-period deltas without naming the comparison window.
  5. Competitor comparison layout: When multiple ASINs are queried, use a side-by-side comparison table so differences are immediately visible
  6. Error handling: When a query fails, explain the reason based on the msg field and suggest checking the ASIN validity or marketplace selection
  7. Variant awareness: If isVariantProduct is true, note that the ASIN is a variant and the user may want to also check the parent ASIN for a complete picture.

Important Limitations

  • ASIN cap per request: Maximum 10 ASINs can be queried in a single call
  • Page size cap: Maximum 10000 results per page
  • Marketplace coverage: 13 marketplaces only — IN / NL / SE / PL / TR / SG are no longer available
  • Snapshot vs window: Default window is the latest 7 days (last7d=true). To query a different window, set last7d=false and pass startDate/endDate
  • Exposure scores are relative: Scores are useful for cross-channel and cross-ASIN comparison, but are not absolute traffic volumes

User Expression & Scenario Quick Reference

Applicable -- Traffic source and exposure analysis for Amazon ASINs:

User Says Scenario
"Where does this ASIN's traffic come from" Traffic source breakdown
"How much organic traffic does this product have" Natural search exposure analysis
"Is this competitor running a lot of ads" SP/brand/video ad exposure check
"Compare traffic structures of these ASINs" Multi-ASIN competitor comparison
"Does this product have Amazon's Choice" AC/ER/TR recommendation check
"What ad channels is this ASIN using" PPC traffic source identification
"How many keywords does this ASIN rank for" Traffic keyword count analysis
"Is this product relying on paid or organic traffic" Organic vs paid traffic split
"How did keywords change vs last week" Period-over-period comparison (In/Out/Prev)
"How many new organic keywords did this ASIN get" New-in keyword count (naturalSearchKeywordCountIn)
"Pull the numbers for a specific date range" Custom time window via startDate/endDate
"Rank 10 ASINs by SP exposure" sortBy=totalSpSocre across a batch

Not applicable -- Needs beyond ASIN traffic source data:

  • Arbitrary multi-week historical trend curves (this tool exposes current + previous period only; use ABA data for long trends)
  • Keyword-level search volume or ranking data for the ASIN (use ABA data or the ASIN-keywords tool instead)
  • Sales estimation or revenue analysis
  • Listing optimization or copywriting
  • Advertising bid or budget recommendations

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.


For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.

Usage Guidance
This skill appears to be a straightforward wrapper around LinkFox's SIF ASIN summary API, but there are a few things to check before you install or provide secrets: - The python script and API docs require an API key in the environment variable LINKFOXAGENT_API_KEY, yet the skill metadata lists no required env vars — assume you will need to set that key if you want the skill to work. - Verify you trust the API operator and domain (tool-gateway.linkfox.com and skill-api.linkfox.com). Only supply LINKFOXAGENT_API_KEY if you have a secure, documented relationship with that provider. - Confirm what data will be sent to the remote API (ASINs, date ranges, etc.). Avoid sending any sensitive or private identifiers in requests. - The docs and script disagree on some parameter limits (pageSize, country lists). Test with minimal/non-sensitive inputs first (one ASIN, small pageSize) to verify behavior. - If you require stronger assurance, ask the skill author to correct the metadata (declare LINKFOXAGENT_API_KEY), reconcile doc/code mismatches, and provide a privacy/data-retention statement for the API. Given these unexplained mismatches, proceed cautiously rather than blocking outright.
Capability Analysis
Type: OpenClaw Skill Name: linkfox-sif-asin-summary Version: 1.0.1 The skill bundle is a legitimate tool for analyzing Amazon ASIN traffic sources via the LinkFox SIF API. The Python script (sif_asin_summary.py) safely handles API requests using standard libraries, and the instructions in SKILL.md are well-defined for the stated purpose without any signs of prompt injection or malicious intent. A minor inconsistency exists between the script's pageSize validation (max 100) and the documentation's stated limit (max 10000), but this is a functional bug rather than a security risk.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
The skill's name, description, docs (references/api.md) and included script all align with ASIN traffic-source analysis and call the same API endpoint (https://tool-gateway.linkfox.com/sif/asinSummary). However the skill metadata lists no required environment variables while both the docs and the python script require LINKFOXAGENT_API_KEY. There are also minor mismatches (e.g., max pageSize: docs allow up to 10000, the script enforces 10–100; country code lists differ slightly). These inconsistencies are not necessarily malicious but are unexplained and reduce confidence.
Instruction Scope
The runtime instructions and script are scoped to preparing parameters and POSTing JSON to the documented SIF API. The skill does not instruct reading unrelated local files or system credentials, nor does it attempt to exfiltrate arbitrary local data. A separate Feedback API endpoint is documented (https://skill-api.linkfox.com/api/v1/public/feedback) — it's distinct from the main API and appears intended for user feedback submission.
Install Mechanism
No install spec is provided (instruction-only with an included helper script). Nothing is downloaded from external URLs at install time and no archives or package installs are required. Risk from installation mechanism is low.
Credentials
The code and API docs require one secret: LINKFOXAGENT_API_KEY (sent in an Authorization header). Requesting a single API key is proportionate to the stated purpose, but the skill metadata failing to declare this required env var is an inconsistency that could lead users to unknowingly supply a secret. Users should confirm they trust the API operator before setting the key.
Persistence & Privilege
The skill does not request always:true or any system/config paths, and it does not attempt to modify other skills or persist system-wide settings. It behaves as a normal, on-demand remote-API calling skill.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install linkfox-sif-asin-summary
  3. After installation, invoke the skill by name or use /linkfox-sif-asin-summary
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Update from 1.0.0 to 1.0.1
v1.0.0
Initial release
Metadata
Slug linkfox-sif-asin-summary
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Sif Asin Summary?

使用SIF(搜索情报框架)数据分析ASIN的流量来源构成与曝光分布,覆盖本期/上期/新进/退出周期对比。当用户提到ASIN流量来源、流量结构分析、自然流量与付费流量占比、曝光得分拆解、周期对比、新进/退出流量词、竞品流量分析、SP广告关键词数量、品牌广告曝光、Amazon's Choice曝光、编辑推荐曝光、To... It is an AI Agent Skill for Claude Code / OpenClaw, with 104 downloads so far.

How do I install Sif Asin Summary?

Run "/install linkfox-sif-asin-summary" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Sif Asin Summary free?

Yes, Sif Asin Summary is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Sif Asin Summary support?

Sif Asin Summary is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Sif Asin Summary?

It is built and maintained by linkfox-ai (@linkfox-ai); the current version is v1.0.1.

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