Amazon
vellum-ai/vellum-assistant
Shop on Amazon and Amazon Fresh through your browser. An agent skill from vellum-ai/vellum-assistant.
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, sales trend, price history, BSR ranking…
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Install Linkfox Sorftime Amazon Product Detail
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-sorftime-amazon-product-detail -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sorftime-amazon-product-detail --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkfox-sorftime-amazon-product-detail .claude/skills/linkfox-sorftime-amazon-product-detail && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "linkfox-sorftime-amazon-product-detail" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-amazon-product-detail into .claude/skills/linkfox-sorftime-amazon-product-detail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sorftime-amazon-product-detail", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-amazon-product-detailType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-sorftime-amazon-product-detail -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sorftime-amazon-product-detail --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/linkfox-sorftime-amazon-product-detail .agents/skills/linkfox-sorftime-amazon-product-detail && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkfox-sorftime-amazon-product-detail" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-amazon-product-detail into .agents/skills/linkfox-sorftime-amazon-product-detail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sorftime-amazon-product-detail", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-sorftime-amazon-product-detail -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sorftime-amazon-product-detail --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/linkfox-sorftime-amazon-product-detail .cursor/skills/linkfox-sorftime-amazon-product-detail && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "linkfox-sorftime-amazon-product-detail" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-amazon-product-detail into .cursor/skills/linkfox-sorftime-amazon-product-detail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sorftime-amazon-product-detail", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/linkfox-ai/linkfox-skills.git --path skills/linkfox-sorftime-amazon-product-detail--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-sorftime-amazon-product-detail -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sorftime-amazon-product-detail --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/linkfox-sorftime-amazon-product-detail .gemini/skills/linkfox-sorftime-amazon-product-detail && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "linkfox-sorftime-amazon-product-detail" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-amazon-product-detail into .gemini/skills/linkfox-sorftime-amazon-product-detail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sorftime-amazon-product-detail", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sorftime-amazon-product-detailInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-sorftime-amazon-product-detail -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/linkfox-sorftime-amazon-product-detail .github/skills/linkfox-sorftime-amazon-product-detail && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "linkfox-sorftime-amazon-product-detail" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-amazon-product-detail into .github/skills/linkfox-sorftime-amazon-product-detail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sorftime-amazon-product-detail", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-sorftime-amazon-product-detail -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sorftime-amazon-product-detail --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/linkfox-sorftime-amazon-product-detail .opencode/skills/linkfox-sorftime-amazon-product-detail && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "linkfox-sorftime-amazon-product-detail" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-amazon-product-detail into .opencode/skills/linkfox-sorftime-amazon-product-detail/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sorftime-amazon-product-detail", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
linkfox-sorftime-amazon-product-detail- GitHub stars
- 107
- Token cost
- ~2.2k tokens
- SKILL.md length
- 979 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
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, sales trend, price history, BSR ranking…
- Works in 4 steps: Always specify the marketplace: Use… → Choose trend inclusion carefully:… → Specify date range for historical… → …
- SKILL.md covers Core Concepts, Data Fields, Supported Marketplaces and 调用方式, plus 7 more sections
- Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY
What it does
Linkfox Sorftime Amazon Product Detail is an agent skill from linkfox-ai/linkfox-skills. 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, sales trend, price history, BSR ranking, profit analysis, FBA fees时触发此技能。即使用户未明确提及"Sorftime"，只要其需求涉及按ASIN查询亚马逊产品详情或历史趋势数据，也应触发此技能。
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/onboarding.py`).
The licence is MIT.
Example prompts
- “Sorftime”
- “/linkfox-sorftime-amazon-product-detail”
Requirements
- Python 3
- A credential in LINKFOX_AGENT_API_KEY
- A credential in LINKFOXAGENT_API_KEY
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 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…
- Specify date range for historical analysis: Use queryTrendStartDate and queryTrendEndDate (yyyy-MM-dd) when users need trends beyond the…
- Batch ASINs when comparing: Up to 10 ASINs can be queried at once, comma-separated - use this for competitive comparison rather than…
What it can do on your machine
Read from SKILL.md and the folder at commit 38fef04. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
skill.linkfox.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
LINKFOX_AGENT_API_KEYLINKFOXAGENT_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Linkfox Sorftime Amazon Product Detail loads about 2.2k tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 979 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 979 words, ~2,198 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-sorftime-amazon-product-detail/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- linkfox-sorftime-amazon-product-detail
- description
- 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, sales trend, price history, BSR ranking, profit analysis, FBA fees时触发此技能。即使用户未明确提及"Sorftime"，只要其需求涉及按ASIN查询亚马逊产品详情或历史趋势数据，也应触发此技能。
Sorftime Product Detail
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
Response data covers the following categories (see references/api.md for complete field reference):
- Basic info: title, brand, ASIN, listing URL, images (main + A+), store name, bullet points, product badges, off-sale status, last update date, weight, size
- Variations: parent ASIN, variation count, child ASINs, variation attributes
- Pricing & profit: sale price, coupon, platform fee, FBA fees (with detail breakdown), FBM shipping cost, profit amount & rate
- Sales: official monthly sales (Amazon-published)
- Rankings: BSR rank, category tree, sub-category rankings, listing date, days online
- Ratings: rating score, rating count, star distribution (1-5 star percentages)
- Seller: Buybox seller name/ID/country, FBA status, seller count
- Listing features: A+ content, video, brand store, feature ratings, product info, properties
- Promotions: brand promotion, deal type, extra savings
- Trends (time-series): BSR rank, sub-BSR rank, daily/monthly sales volume, daily/monthly revenue, price, list price, deal status
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).
调用方式
- API 端点：
POST /sorftime/amazon/productDetail（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/sorftime_product_detail.py '<JSON 参数>' [--inline] - 成本约束：本工具会消耗算力；同一会话同一参数组合默认只调用一次，脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探；需要继续检索时先向用户说明会产生额外消耗。
输出策略（脚本默认行为）：
- 始终将完整响应写入
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-sorftime-amazon-product-detail-<timestamp>.json（<cwd>为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；<session>取自环境变量SESSION_ID，按用户任务自动聚合；禁止写入 /tmp，当前目录不可写则报错） - 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout
- 响应体 > 8 KB：落盘后 stdout 只输出摘要（顶层字段、常见计数如
total/costToken、最大列表字段的长度 + 前 3 条样本） - 加
--inline强制全量打印到 stdout（同样落盘）
读数据建议：先看摘要判断是否足够；需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取，避免整份 JSON 进入上下文。
解决认证和算力问题
发生以下异常情况时，采用 references/onboarding.md 引导解决问题：
异常情况
- 未配置API Key：环境变量未配置
LINKFOX_AGENT_API_KEY，也未配置LINKFOXAGENT_API_KEY。 - 响应401或402状态码
- 响应提示算力或余额不足：消息含"算力余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值"，或类似含义的内容。
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: 2if only basic product info is needed - this saves cost and speeds up response - Specify date range for historical analysis: Use
queryTrendStartDateandqueryTrendEndDate(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: us2. Long-range trend analysis (specify dates)
asin: B00FLYWNYQ, marketplace: us
queryTrendStartDate: 2025-01-01, queryTrendEndDate: 2025-03-313. Batch ASIN comparison
asin: B0088PUEPK,B00U26V4VQ,B0CVM8TXHP, marketplace: us4. Product info only, no trends
asin: B0088PUEPK, marketplace: us, includeTrend: 25. BSR ranking history (German market)
asin: B00FLYWNYQ, marketplace: de
queryTrendStartDate: 2024-06-01, queryTrendEndDate: 2025-01-01Trend 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
-1means "cannot estimate" (e.g., category changed to Amazon Renewed) - Price trends: units are in local currency smallest unit (cents for USD);
-1means no available price that day - BSR rank trends: for
bsrRankTrend, format is[{NodeId: xxx, Rank: [date, rank, ...]}]per sub-category - Deal trend: value
1= has active Deal that day,0= no Deal
Show full SKILL.md (388 more words)Show less
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
-1in 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
- Off-sale handling: When
offSaleis true, clearly inform the user the product is currently unavailable/off-sale - Error handling: When a query fails, explain the reason based on the
msgfield 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 |
| "这个产品还在售吗" | Off-sale status check |
| "这个产品有没有Deal促销记录" | Deal history |
| "看看这个产品的变体信息" | Variation details |
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.
算力消耗规则
按动态规则计费：消耗算力 = Sorftime内部查询次数 × 6。Sorftime内部查询次数：不同查询条件需要的查询次数可能不同，该次数由Sorftime决定。
重要：本技能的服务按倍数动态计算，可能一次性消耗大量算力，必须提醒用户，由用户决定是否继续。
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.
© linkfox-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (scripts, references) in skills/linkfox-sorftime-amazon-product-detail of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/onboarding.py
- scripts/sorftime_product_detail.py
Open the folder on GitHubat commit 38fef04
Compare with similar skills
Linkfox Sorftime Amazon Product Detail next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Linkfox Sorftime Amazon Product Detail this skilllinkfox-ai/linkfox-skills | 107 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Amazonvellum-ai/vellum-assistant | 1.4k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Amazon Alexasickn33/agentic-awesome-skills | 47k | 2 repos | ~359 | Automated safety check: Pass | MIT | |
| Amazon Reviews Extractorbrowser-act/skills | 6.1k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Amazon ASIN Lookupbrowser-act/skills | 6.1k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Amazon Ads AuditAgriciDaniel/claude-ads | 9.9k | — | ~531 | Automated safety check: Pass | MIT |
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Fetches structured Amazon product details such as title, price, ratings and availability for a given ASIN through BrowserAct's lookup API template.
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Audits an Amazon Ads account across Sponsored Products, Brands, Display and DSP, producing evidence-based findings, prioritized recommendations and draft-only changes.
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Etsy product detail scraper: given an Etsy listing URL, returns full product detail including listingId, title, priceCurrent, priceOriginal, currency, images (all), description, shopName, shopUrl…
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Questions about Linkfox Sorftime Amazon Product Detail
What does Linkfox Sorftime Amazon Product Detail do?
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, sales trend, price history, BSR ranking…. Linkfox Sorftime Amazon Product Detail is an agent skill from linkfox-ai/linkfox-skills.
How do I install Linkfox Sorftime Amazon Product Detail in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sorftime-amazon-product-detail -a claude-code`. Or copy the skill folder (skills/linkfox-sorftime-amazon-product-detail in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-sorftime-amazon-product-detail in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Sorftime Amazon Product Detail in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sorftime-amazon-product-detail -a codex`. Or copy the skill folder (skills/linkfox-sorftime-amazon-product-detail in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-sorftime-amazon-product-detail in your project. Codex loads it when a task matches its description.
Can I use Linkfox Sorftime Amazon Product Detail in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sorftime-amazon-product-detail -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkfox-sorftime-amazon-product-detail, .gemini/skills/linkfox-sorftime-amazon-product-detail, .github/skills/linkfox-sorftime-amazon-product-detail and .opencode/skills/linkfox-sorftime-amazon-product-detail in your project.
What does Linkfox Sorftime Amazon Product Detail need to run?
Going by SKILL.md and its folder, Linkfox Sorftime Amazon Product Detail needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY. Our summary lists: Python 3; A credential in LINKFOX_AGENT_API_KEY; A credential in LINKFOXAGENT_API_KEY.
Does Linkfox Sorftime Amazon Product Detail access the network?
SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.
Is Linkfox Sorftime Amazon Product Detail safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Linkfox Sorftime Amazon Product Detail use?
Linkfox Sorftime Amazon Product Detail is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Linkfox Sorftime Amazon Product Detail use?
About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Sorftime Amazon Product Detail?
Skills that share tags, products or a category with Linkfox Sorftime Amazon Product Detail: Amazon (vellum-ai/vellum-assistant, 1.4k stars), Amazon Alexa (sickn33/agentic-awesome-skills, 47k stars), Amazon Reviews Extractor (browser-act/skills, 6.1k stars) and Amazon ASIN Lookup (browser-act/skills, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkfox Sorftime Amazon Product Detail?
linkfox-ai (a GitHub user) maintains it in linkfox-ai/linkfox-skills, which has 107 GitHub stars. The repository holds 177 skills in this directory. The repository was last updated on September 14, 2026.
Source: linkfox-ai/linkfox-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.