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Agent Skill · 研究检索

amazon-price-history(亚马逊价格历史记录)

amazon-price-history 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-price-history 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 19,588。

总安装 5,544周安装 231GitHub Stars 公开资料未说明下载 1,848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-price-history(亚马逊价格历史记录)
来源仓库:https://github.com/mguozhen/amazon-price-history
安装命令:
openclaw skills install amazon-price-history
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-price-history

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。

跟踪产品价格历史趋势与竞品调价行为。amazon-price-history 属于研究检索类 Skill,可作为该场景下的辅助能力补充。设定降价警报与最佳采购/销售时机提示。分析季节性波动与促销规律辅助定价决策。安装命令:openclaw skills install amazon-price-history。

历史数据长度受平台限制,需注意时效性。

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-price-history;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-price-history 怎么安装?

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

amazon-price-history 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-price-history 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-price-history 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-price-history 用的人多吗?

公开数据是累计安装 5,544 次,近一周安装 231 次,下载 1,848 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-price-history 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-price-history

亚马逊价格历史记录 · 本页

5,544—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-price-history
description
Amazon product price history tracker and drop alert agent. Track price trends over time, identify the best time to buy or sell, analyze competitor pricing patterns, and set smart price alerts. Triggers: amazon price history, price tracker, price drop alert, keepa alternative, amazon price trend, historical pricing, price chart, best time to buy, price monitoring, amazon deal finder, price volatility, buy box price
allowed-tools
Bash
metadata
openclaw
homepage
https://github.com/mguozhen/amazon-price-history

Amazon Price History Tracker

Track Amazon product price history, identify pricing patterns, and time your pricing decisions with precision. Alternative to Keepa for sellers who want AI-assisted price analysis.

Paste product data, price snapshots, or competitor pricing. The agent builds price timelines, detects patterns, and recommends optimal pricing windows.

Commands

price add <asin> <price> [date]   # log a price data point
price trend <asin>                # analyze price trend direction
price pattern <asin>              # detect seasonal and cyclical patterns
price alert set <asin> <target>   # set alert for target price threshold
price compare <asin1> <asin2>     # compare pricing histories side-by-side
price best-time <asin>            # identify best time window to raise/lower price
price volatility <asin>           # compute price stability score
price chart <asin>                # render text-based price chart
price report <asin>               # full pricing analysis report
price save                        # save all price history to workspace

What Data to Provide

  • ASIN + price data — current or historical prices with dates
  • Buy Box price — the winning price you see on the listing
  • Competitor prices — other sellers on the same listing
  • Your cost structure — COGS, FBA fees, target margin
  • Seasonal context — any known promotions or peak periods

Price Analysis Framework

Price Data Points to Track

For each ASIN, capture:

Date | Price | Seller | Buy Box? | Coupon | Sale Event | Notes
2024-01-15 | $29.99 | Brand | Yes | 10% off | None | Normal
2024-01-20 | $24.99 | Brand | Yes | None | Flash sale | -17%
2024-02-01 | $32.99 | Brand | Yes | None | None | Post-sale

Price Trend Classification

Uptrend (Price rising):

  • Average price this month > last month by >5%
  • Signal: possible demand increase, supply constraints, or brand repositioning
  • Seller action: monitor for opportunity to raise your price

Downtrend (Price falling):

  • Average price this month < last month by >5%
  • Signal: increased competition, excess inventory, or market correction
  • Seller action: evaluate your cost floor, avoid race-to-bottom

Stable (±5% range):

  • Price within 5% of 90-day average
  • Signal: mature market equilibrium
  • Seller action: compete on other factors (listing quality, reviews, ads)

Volatile (Frequent swings >10%):

  • Price swings more than 10% within 30 days
  • Signal: heavy promotional activity or multiple sellers competing
  • Seller action: dynamic repricing is essential

Price Volatility Score

Volatility = (Max Price - Min Price) / Average Price × 100

Score 0-10:   Very stable — predictable market
Score 10-25:  Moderate — some promotional activity
Score 25-50:  Volatile — heavy competition or frequent sales
Score 50+:    Highly volatile — use dynamic repricing or avoid

Seasonal Pattern Detection

Map price history against calendar events:

  • Q4 (Oct-Dec): Holiday surge — premium pricing possible
  • Prime Day (July): Deep discounts expected, plan inventory
  • Back to School (Aug-Sep): Category-specific peaks
  • Valentine's/Mother's Day: Gift category spikes
  • Post-holiday (Jan-Feb): Price depression, clear inventory

Buy Box Price Analysis

The Buy Box price matters more than list price:

  • Track who holds the Buy Box at each snapshot
  • Compute your price gap vs. current Buy Box winner
  • Identify patterns in Buy Box rotation (if multiple sellers)

Buy Box pricing rules:

  • New seller entering: typically prices 5-10% below current winner
  • FBA advantage: can price slightly higher than FBM and still win
  • Low inventory: Buy Box may shift to higher-priced seller

Price Alert Thresholds

PRICE DROP ALERT:   Current price falls >10% below 30-day average
PRICE SPIKE ALERT:  Current price rises >20% above 30-day average
BUY BOX LOST:       Your price is no longer the Buy Box winner
COMPETITOR ENTRY:   New seller appears at significantly lower price
FLOOR ALERT:        Price drops below your calculated margin floor

Optimal Repricing Windows

Based on historical patterns:

  • Best time to raise price: After a competitor goes out of stock
  • Best time to lower price: 2 weeks before Prime Day to boost velocity
  • Avoid repricing: During major sale events (prices stabilize after)
  • Post-holiday: Expect 15-25% price compression, plan ahead

Margin Floor Calculation

Margin Floor = COGS + FBA Fees + Referral Fee + PPC Cost + Minimum Profit
Example:
  COGS:          $8.00
  FBA fees:      $4.50
  Referral (15%): price × 0.15
  PPC cost:      $2.00
  Min profit:    $2.00
  Floor = $8 + $4.50 + (price × 0.15) + $2 + $2 = solve for price
  Minimum price = ($16.50) / (1 - 0.15) = $19.41

Workspace

Creates ~/price-tracker/ containing:

  • history/ — price logs per ASIN (ASIN.md files)
  • alerts/ — triggered price alerts
  • patterns/ — seasonal pattern analysis
  • reports/ — full pricing reports

Output Format

Every price analysis outputs:

  1. Price Timeline Table — chronological price history with key events marked
  2. Trend Direction — current trend with confidence level
  3. Volatility Score — 0-100 stability rating with interpretation
  4. Pattern Summary — detected seasonal or cyclical patterns
  5. Optimal Price Window — recommended price and timing
  6. Margin Check — current price vs. your floor, profit per unit

平台分布

OpenClaw

83.36%
按下载量换算1,540

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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