功能描述

基于Sorftime数据按ASIN查询亚马逊产品详情与历史趋势，涵盖14个站点。当用户提到Sorftime产品详情、ASIN详情查询、销量走势、价格曲线、价格历史、BSR排名历史、BSR趋势、利润分析、FBA费用分析、毛利率、产品趋势分析、日销量月销量、销售额趋势、Deal促销历史、product detail,...

使用说明 (SKILL.md)

Sorftime Product Detail

Name: Sorftime Product detail
Author: linkfox-ai

This skill guides you on how to query Amazon product detail and historical trend data by ASIN via Sorftime, helping Amazon sellers analyze product performance, pricing strategy, and competitive positioning.

Core Concepts

Sorftime Product Detail provides comprehensive product-level data by ASIN, with historical trend data going back to 2021. It covers sales volume & revenue trends, price & promotion tracking, multi-level BSR ranking history, and real-time profit analysis with FBA fee breakdown.

Key differentiator: This tool returns trend/time-series data for individual products. If you need to search/filter products across a category, brand, or seller, use the Sorftime Product Search skill instead.

Data Fields

Field	API Name	Description	Example
Product Title	title	Product listing title	Anker Portable Charger...
Brand	brand	Brand name	Anker
ASIN	asin	Amazon Standard Identification Number	B0088PUEPK
Parent ASIN	parentAsin	Parent ASIN if has variations, null otherwise	B0088PUEPK
Category	category	Main category [name, NodeId]	["Cell Phones", "2811119011"]
Sub-category Rankings	bsrCategory	Sub-category rank list with nodeId, name, rank, date	[{nodeId, name, rank, date}]
Listing Date	availableDate	Listing date (yyyy-MM-dd)	2022-03-15
Days Online	onlineDays	Days since listing	850
Sale Price	price	Sale price after Coupon, local currency (e.g., USD)	25.99
Coupon	coupon	>0 = discount amount (500=$5); \x3C0 = percentage (-10=10% off)	-15
Platform Fee	platformFee	Platform commission, local currency	3.90
FBA Fees	fbaFees	FBA fulfillment fee, local currency	5.40
FBA Detail	fbaDetail	FBA breakdown: [delivery fee, month:storage fee, ...]	[475, "1-9:5", "10-12:15"]
Profit	profitAmount	Sale price - FBA - commission, local currency	16.69
Profit Rate	profitRate	Profit margin, e.g., 25.83 = 25.83%	25.83
BSR Rank	salesRank	Best Seller Rank in main category	1523
BSR Trend	rankTrend	Main category rank history, interleaved [date, rank, ...]	[20250101, 1523, ...]
Sub-BSR Trend	bsrRankTrend	Sub-category rank history per node	[{NodeId, Rank: [...]}]
Rating	rating	Current rating (0.0-5.0)	4.70
Rating Count	ratings	Number of ratings	12580
Star Distribution	fiveStarRatings / fourStar... / oneStar...	Star percentage, e.g., 57.7 = 57.7%	57.7
Daily Sales Trend	listingSalesVolumeOfDailyTrend	Interleaved [date, volume, ...]; -1 = cannot estimate	[20250101, 150, ...]
Monthly Sales Trend	listingSalesVolumeOfMonthTrend	Interleaved [date, volume, ...]; -1 = cannot estimate	[20250101, 4500, ...]
Daily Revenue Trend	listingSalesOfDailyTrend	Interleaved [date, revenue, ...]; unit = cents; -1 = N/A	[20250101, 38985, ...]
Monthly Revenue Trend	listingSalesOfMonthTrend	Interleaved [date, revenue, ...]; unit = cents; -1 = N/A	[20250101, 1169550, ...]
Price Trend	priceTrend	Sale price history; unit = cents; -1 = no price that day	[20250101, 2599, ...]
List Price Trend	listPriceTrend	Strikethrough price history; unit = cents; -1 = N/A	[20250101, 3999, ...]
Buybox Seller	buyboxSeller	Buybox winning seller name	AnkerDirect
Seller Country	buyboxSellerAddress	Seller country code (CN, US, etc.); null if Amazon-operated	CN
FBA Status	isFBA	Whether Buybox seller uses FBA	true
Seller Count	sellerNum	Number of sellers on this listing	3
A+ Content	aPlus	Has A+ content	true
Video	hasVideo	Has video on listing	true
Brand Store	hasBrandStore	Has brand storefront	true
Weight	weight	Weight in grams	350
Size	size	Dimensions in cm [longest, 2nd, shortest]	[18.5, 8.2, 3.1]

Supported Marketplaces

US (United States), GB (United Kingdom), DE (Germany), FR (France), IN (India), CA (Canada), JP (Japan), ES (Spain), IT (Italy), MX (Mexico), AE (United Arab Emirates), AU (Australia), BR (Brazil), SA (Saudi Arabia)

Default marketplace is US. Use us when the user doesn't specify a marketplace.

Note: Sorftime uses lowercase codes (e.g., us, gb, de), and UK is coded as gb (not uk).

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/sorftime_product_detail.py directly to run queries.

How to Build Queries

The key parameters are asin and marketplace (both required), plus optional trend date range controls.

Principles for Building Queries

Always specify the marketplace: Use lowercase site codes, e.g., us, de, jp
Choose trend inclusion carefully: Default includes trends (last 15 days). Set includeTrend: 2 if only basic product info is needed — this saves cost and speeds up response
Specify date range for historical analysis: Use queryTrendStartDate and queryTrendEndDate (yyyy-MM-dd) when users need trends beyond the default 15 days. Be aware this costs double
Batch ASINs when comparing: Up to 10 ASINs can be queried at once, comma-separated — use this for competitive comparison rather than calling one at a time

Query Examples for Common Scenarios

1. Quick product check (default 15-day trend)

asin: B00FLYWNYQ, marketplace: us

2. Long-range trend analysis (specify dates)

asin: B00FLYWNYQ, marketplace: us
queryTrendStartDate: 2025-01-01, queryTrendEndDate: 2025-03-31

3. Batch ASIN comparison

asin: B0088PUEPK,B00U26V4VQ,B0CVM8TXHP, marketplace: us

4. Product info only, no trends

asin: B0088PUEPK, marketplace: us, includeTrend: 2

5. BSR ranking history (German market)

asin: B00FLYWNYQ, marketplace: de
queryTrendStartDate: 2024-06-01, queryTrendEndDate: 2025-01-01

Trend Data Interpretation

Trend arrays use an interleaved format: even indices are dates, odd indices are values.

[20250101, 150, 20250102, 180, 20250103, 165, ...]
 ^date     ^val ^date     ^val ^date     ^val

Sales volume/revenue trends: value of -1 means "cannot estimate" (e.g., category changed to Amazon Renewed)
Price trends: units are in local currency smallest unit (cents for USD); -1 means no available price that day
BSR rank trends: for bsrRankTrend, format is [{NodeId: xxx, Rank: [date, rank, ...]}] per sub-category

Display Rules

Present data only: Show query results in clear tables without subjective business advice
Ranking clarification: When showing ranking data, remind users that lower values mean better rankings
Price unit awareness: Trend data uses smallest currency unit (cents for USD). Convert to standard currency when displaying to users
Sales estimation caveat: Values of -1 in sales/revenue fields mean "cannot estimate" — explain this to the user rather than showing -1 directly
Trend visualization: When showing trend data, present key data points in a readable table rather than dumping raw arrays
Error handling: When a query fails, explain the reason based on the msg field and suggest adjusting query criteria

Important Limitations

Max 10 ASINs per query
Trend cost: Default returns last 15 days; querying > 15 days costs double
Non-structured data: Results do not support secondary analysis via _dataQuery_executeDynamicQuery
Sales estimation: Products in non-standard categories (e.g., Amazon Renewed) may return -1 for sales fields

User Expression & Scenario Quick Reference

Applicable - Product detail and trend queries by ASIN:

User Says	Scenario
"查一下这个ASIN的销量走势"	Sales trend
"这个产品最近价格变化如何"	Price history
"帮我看看这个产品的利润空间"	Profit analysis
"这个ASIN的BSR排名趋势"	Ranking history
"对比一下这几个ASIN的数据"	Multi-ASIN comparison
"这个产品的FBA费用是多少"	FBA fee breakdown
"产品上架多久了，评分怎么样"	Basic product info

Not applicable - Needs beyond single-product detail:

Searching/filtering products across a category or brand (use Sorftime Product Search)
ABA search term ranking data (use ABA Data Explorer)
Advertising / PPC strategy
Product reviews content analysis
Patent or trademark checks

Boundary judgment: When users say "product analysis" or "competitor comparison", if it boils down to checking specific ASINs' detail data and trend curves, then this skill applies. If they're asking to discover or filter products across a market, it does not apply.

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

The functionality or purpose described in this skill does not match actual behavior
The skill's results do not match the user's intent
The user expresses dissatisfaction or praise about this skill
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, visit LinkFox Skills.

安全使用建议

This skill appears to implement the advertised Sorftime product-detail queries and includes a small helper script, but the package metadata fails to declare the API key it actually needs. Before installing: 1) Confirm the publisher/owner identity and whether you trust LinkFox/this owner (no homepage is provided). 2) Expect to supply LINKFOXAGENT_API_KEY (the skill uses it in its Authorization header) — do not reuse high-privilege or long-lived keys. 3) Verify what permissions and scope that API key has and prefer a limited-scope or test key. 4) Inspect network endpoints (tool-gateway.linkfox.com and skill-api.linkfox.com) and the Feishu link in the README to ensure they match expectations. 5) If you need stronger assurance, ask the publisher for a homepage, privacy/security policy, and key-scoping guidance or run the skill in an isolated environment first. If you cannot verify the provider, treat the required API key as sensitive and consider not installing.

功能分析

Type: OpenClaw Skill Name: linkfox-sorftime-product-detail Version: 1.0.0 The skill bundle provides legitimate functionality for querying Amazon product details and historical trends via the Sorftime API. The Python script (sorftime_product_detail.py) uses standard libraries to make authenticated POST requests to a specific tool gateway (tool-gateway.linkfox.com) and handles API keys via environment variables as expected. The instructions in SKILL.md are well-defined and strictly aligned with the stated purpose of e-commerce data analysis without any signs of malicious intent or prompt injection.

能力标签

requires-sensitive-credentials

能力评估

ℹ Purpose & Capability

Name, description, SKILL.md, references/api.md and the included script consistently describe querying Sorftime product/detail trends via LinkFox's tool gateway (https://tool-gateway.linkfox.com/sorftime/amazon/productDetail). The functionality requested (ASIN + marketplace → product trend data) aligns with the described purpose.

✓ Instruction Scope

SKILL.md and the script only instruct building API queries, calling the LinkFox endpoint, and optionally posting feedback to a separate feedback endpoint. There are no instructions to read unrelated files, harvest local data, or exfiltrate credentials beyond the API key needed for the service.

✓ Install Mechanism

No install spec; the skill is instruction-only plus a small Python script that uses the standard library (urllib). Nothing is downloaded or extracted from third-party URLs during install.

⚠ Credentials

The registry metadata lists no required env vars or primary credential, but references/api.md and scripts/sorftime_product_detail.py both require an environment variable LINKFOXAGENT_API_KEY for Authorization. This manifest/instruction inconsistency is a red flag: the skill implicitly requires a secret (API key) but the skill metadata doesn't declare it or explain key scope. The only credential in use is LINKFOXAGENT_API_KEY (proportionate if limited to the LinkFox API), but lack of provenance for the provider increases risk.

✓ Persistence & Privilege

always is false and the skill does not request persistent system-wide privileges or attempt to modify other skills or agent configuration. Autonomous invocation is allowed by default but not combined with other high-risk factors here.

版本历史

v1.0.0

Initial release

元数据

Slug linkfox-sorftime-product-detail

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题