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Agent Skill · 研究检索

amazon-fba-product-finder(亚马逊 FBA 产品查找器)

amazon-fba-product-finder 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

amazon-fba-product-finder 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 21,508。

总安装 4,847周安装 198GitHub Stars 公开资料未说明下载 1,568核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:amazon-fba-product-finder(亚马逊 FBA 产品查找器)
来源仓库:https://github.com/mguozhen/amazon-fba-product-finder
安装命令:
openclaw skills install amazon-fba-product-finder
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install amazon-fba-product-finder

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

查找有利可图的 FBA 产品,提取排名、销量、收入与利润潜力。适用于亚马逊卖家筛选高潜力新品或优化选品策略。通过关键词和竞争分析快速定位候选产品。安装命令:openclaw skills install amazon-fba-product-finder。需确认权限范围及是否触发联网或数据抓取。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install amazon-fba-product-finder;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

amazon-fba-product-finder 怎么安装?

在终端执行 openclaw skills install amazon-fba-product-finder。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

amazon-fba-product-finder 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

amazon-fba-product-finder 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

amazon-fba-product-finder 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

amazon-fba-product-finder 用的人多吗?

公开数据是累计安装 4,847 次,近一周安装 198 次,下载 1,568 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

amazon-fba-product-finder 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
amazon-fba-product-finder

亚马逊 FBA 产品查找器 · 本页

4,847—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
amazon-fba-product-finder
description
Amazon FBA product research agent. Find profitable FBA products — extract rank, sales volume, estimated revenue, competition score, and profit potential without entering every product page. Inspired by Jungle Scout methodology. Triggers: fba product research, jungle scout, amazon product finder, fba opportunity, product research, amazon niche finder, product validation, fba profit, sales estimate, revenue estimate, product opportunity score, amazon sourcing
allowed-tools
Bash
metadata
openclaw
homepage
https://github.com/mguozhen/amazon-fba-product-finder

Amazon FBA Product Finder

Research Amazon FBA product opportunities like a pro. Analyze rank, sales volume, estimated revenue, and competition score to validate products before sourcing — no tool subscription required.

Paste product data from Amazon search results or product pages. The agent validates opportunity and outputs a go/no-go recommendation with full reasoning.

Commands

find research <product-idea>      # research a product idea end-to-end
find validate <data>              # validate product with pasted Amazon data
find score <product>              # compute opportunity score for a product
find market <keyword>             # analyze top 10 results for a search term
find revenue <asin> <bsr>         # estimate monthly revenue from BSR
find compare <product1> <product2># compare two product opportunities
find niche <category>             # identify niches within a category
find checklist <product>          # run 10-point FBA viability checklist
find report <product>             # full product research report
find save <product>               # save research to workspace

What Data to Provide

  • Product idea / keyword — what you want to research
  • Amazon search results data — titles, prices, BSRs, review counts from the page
  • Category — main category (used for BSR-to-sales conversion)
  • Your target price point — expected selling price
  • Sourcing context — where you plan to source (Alibaba, domestic, etc.)

Product Research Framework

Step 1: Market Size Estimation

Estimate monthly revenue for the top 10 results:

  • Total market revenue = sum of estimated monthly revenue for top 10 listings
  • Healthy market: Top 10 generate $50,000-$500,000/month combined
  • Too small (<$30k): Limited opportunity
  • Too large (>$1M): Possibly too competitive for new entrant

Step 2: BSR to Sales Volume Conversion

Estimated monthly sales by category and BSR:

Category: Kitchen & Home
BSR 1-100:      8,000-50,000 units/month
BSR 100-500:    2,000-8,000 units/month
BSR 500-1000:   800-2,000 units/month
BSR 1000-3000:  300-800 units/month
BSR 3000-10000: 100-300 units/month
BSR 10000+:     <100 units/month

Category: Sports & Outdoors
BSR 1-100:      5,000-30,000 units/month
BSR 100-500:    1,500-5,000 units/month
BSR 500-2000:   500-1,500 units/month
BSR 2000-5000:  150-500 units/month
BSR 5000-15000: 50-150 units/month

Adjust by ±30% based on seasonality and listing quality.

Step 3: Competition Analysis

Assess the top 10 listings:

SignalGreenYellowRed
Avg reviews<200200-500>500
Review gap (1st vs 10th)<5x5-20x>20x
Listing qualityPoor-MediumMediumExcellent
Brand dominance0 brands in top 51-2 brands3+ same brands
Price range$10-$50$5-$10 or $50-$100<$5 or >$100

Step 4: Product Opportunity Score (POS)

Score 0-100 based on 10 factors:

1. Search volume (keyword demand)        0-10 pts
2. Revenue potential (top 10 combined)   0-10 pts
3. Competition gap (review accessibility) 0-10 pts
4. Margin potential (price vs. cost)     0-10 pts
5. Product simplicity (risk of defects)  0-10 pts
6. Differentiation potential             0-10 pts
7. Seasonal stability                    0-10 pts
8. Sourcing accessibility               0-10 pts
9. Regulatory risk (no hazmat/IP issues) 0-10 pts
10. Growth trajectory                   0-10 pts

POS 75+:  Strong opportunity — proceed to sourcing
POS 60-74: Moderate opportunity — validate further
POS 45-59: Weak opportunity — significant risks
POS <45:  Pass — not worth pursuing

Step 5: 10-Point FBA Viability Checklist

[ ] 1. Price $15-$70 (sweet spot for FBA margins)
[ ] 2. Lightweight <2 lbs (keeps FBA fees manageable)
[ ] 3. Small dimensions (standard-size, not oversize)
[ ] 4. No seasonal dependency (sells year-round)
[ ] 5. No brand dominance in top 10 (room for new sellers)
[ ] 6. Top seller has <500 reviews (achievable competition)
[ ] 7. Estimated monthly revenue $5,000+ (viable market)
[ ] 8. Clear differentiation opportunity (can improve on top listings)
[ ] 9. No dangerous goods / fragile items
[ ] 10. Sourceable on Alibaba for <30% of selling price

FBA Fee Structure

Referral fee:     8-15% of selling price (varies by category)
FBA fulfillment:
  Small standard: $3.22 (≤16oz) to $4.37 (≤1lb)
  Large standard: $5.42 (≤1lb) to $9.73 (≤20lb)
Storage fee:
  Standard:       $0.87/cubic foot (Jan-Sep)
                  $2.40/cubic foot (Oct-Dec)

Quick check: Target 25-35% net margin after all fees

Margin Calculation Template

Selling price:        $XX.XX
- Referral fee (15%): $XX.XX
- FBA fee:            $XX.XX
- COGS (incl. ship):  $XX.XX
- PPC cost (est. 15%): $XX.XX
= Net profit per unit: $XX.XX
= Net margin:          XX%

Minimum viable margin: 20% net

Workspace

Creates ~/fba-research/ containing:

  • opportunities/ — validated product research reports
  • rejected/ — products considered but passed
  • pipeline/ — products under active consideration
  • sourcing/ — supplier notes linked to products

Output Format

Every product research outputs:

  1. Product Overview — name, category, price range, estimated market size
  2. Opportunity Score — POS out of 100 with factor breakdown
  3. Top 10 Competitive Landscape — table of top listings with key metrics
  4. Revenue Estimate — range of monthly revenue at various BSR positions
  5. Margin Analysis — expected net profit per unit at target price
  6. Viability Checklist — pass/fail on all 10 criteria
  7. Go/No-Go Recommendation — clear verdict with reasoning
  8. Next Steps — if go: sourcing plan; if no-go: why and what to look for instead

平台分布

OpenClaw

94.3%
按下载量换算1,479

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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