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Agent Skill · 研究检索

amazon-listing-health-monitor(亚马逊上市健康监测器)

amazon-listing-health-monitor 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-listing-health-monitor 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 19,633。

总安装 5,527周安装 235GitHub Stars 公开资料未说明下载 1,936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-listing-health-monitor(亚马逊上市健康监测器)
来源仓库:https://github.com/mguozhen/amazon-listing-health-monitor
安装命令:
openclaw skills install amazon-listing-health-monitor
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-listing-health-monitor

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。

监控 listing 完整性、关键字覆盖率与 Buy Box 资格状态。预警抑制风险与图像缺失等常见问题。定期生成健康度报告与优化提醒。amazon-listing-health-monitor 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

安装命令:openclaw skills install amazon-listing-health-monitor。需确保监控频率不违反平台政策与速率限制。

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-listing-health-monitor;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-listing-health-monitor 怎么安装?

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

amazon-listing-health-monitor 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-listing-health-monitor 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-listing-health-monitor 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-listing-health-monitor 用的人多吗?

公开数据是累计安装 5,527 次,近一周安装 235 次,下载 1,936 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-listing-health-monitor 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-listing-health-monitor

亚马逊上市健康监测器 · 本页

5,527—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-listing-health-monitor
description
Amazon listing health audit agent. Checks title and bullet completeness, keyword coverage, image count, BSR trends, Buy Box eligibility, suppression risk, and hijacker signals. Scores each listing and delivers a prioritized fix list. Triggers: listing audit, amazon listing, listing health, listing score, buy box, listing optimization, listing checker, product listing, amazon seo, backend keywords, listing suppression, hijacker, listing quality
allowed-tools
Bash
metadata
openclaw
homepage
https://github.com/mguozhen/amazon-listing-health-monitor

Amazon Listing Health Monitor

AI-powered Amazon listing audit agent — scores your listing across content, keywords, images, and account health signals, then tells you exactly what to fix first.

Paste your listing details, describe your ASIN, or provide a bulk export. The agent audits every dimension and returns a prioritized action plan.

Commands

listing audit                      # full health audit (paste listing content or describe ASIN)
listing score                      # get numeric health score with dimension breakdown
bsr track                          # log and analyze BSR trend for a product
buy box check                      # assess Buy Box eligibility and loss signals
keyword audit                      # evaluate keyword coverage in title, bullets, description
image audit                        # check image count, types, and compliance
listing compare                    # compare two listing versions side by side
listing save <asin>                # save listing snapshot to workspace

What Data to Provide

The agent works with:

  • Listing content — paste title, bullet points, description, backend keywords
  • ASIN description — "ASIN B08XYZ, baby monitor, 3.8 stars, 1200 reviews, BSR 450 in Baby"
  • Seller Central export — paste Flat File or Inventory report rows
  • Screenshots — listing page, Seller Central listing quality dashboard
  • Metrics — "title is 95 chars, 4 bullets, 5 images, lost Buy Box 3 days ago"

No API keys needed. No tools required.

Workspace

Creates ~/amazon-listings/ containing:

  • memory.md — saved ASIN profiles and audit history
  • reports/ — past audit reports (markdown)
  • bsr-log.md — BSR snapshots for trend tracking

Analysis Framework

1. Content Completeness Audit

Title
SignalBenchmark
Character length150–200 chars (category-dependent)
Primary keywordIn first 80 characters
Brand namePresent
Key attributesSize, color, quantity, material
Forbidden elementsNo promotional claims, no symbols like !, $
Bullet Points
  • Count: 5 bullets (maximum allowed, all should be used)
  • Each bullet: 150–250 characters (enough detail, not truncated in mobile)
  • Top-3 bullets: lead with benefit, not feature
  • Keyword integration: secondary and LSI keywords distributed across bullets
  • Forbidden: shipping claims, seller-specific info, subjective claims without context
Product Description / A+ Content
  • A+ Content preferred over plain description for brand-registered sellers
  • Plain description: 2000 character limit, HTML formatting supported
  • A+ Content: check for comparison chart module (drives conversion)

2. Keyword Coverage Check

  • Title keywords: primary high-volume keyword must appear in title
  • Bullet keywords: secondary keywords distributed (not keyword stuffed)
  • Backend search terms: 250 bytes (not characters) total, no repetition, no brand names of competitors
  • Subject Matter fields: used for additional indexing (intended use, target audience, material)
  • Red flag: primary keyword absent from both title and backend = indexing gap

3. Image Audit

RequirementStandard
Minimum images4 (7+ strongly recommended)
Main imagePure white background, product fills 85%+ of frame
Lifestyle imagesAt least 2 showing product in use
InfographicAt least 1 with key specs/benefits called out
Size chartRequired for apparel, recommended for any sized product
VideoStrongly recommended — increases conversion rate

4. BSR Benchmarks by Category

BSR RangeCategory Signal
Top 100Bestseller in category
Top 1,000Strong seller
Top 10,000Established, moderate velocity
Top 100,000Low velocity, optimization needed
> 100,000Low sales, investigate listing issues

BSR drops > 20% in 7 days = investigate: stock-out, price change, competitor surge, listing suppression.

5. Buy Box Eligibility Signals

Factors Amazon weighs for Buy Box:

  • Price competitiveness: within ~2% of lowest FBA price
  • Fulfillment method: FBA preferred over FBM
  • Order defect rate (ODR): must be < 1%
  • Late shipment rate: < 4%
  • Seller feedback score: > 95% positive (trailing 12 months)
  • In-stock rate: consistent stock, no stockouts
  • Account health: no active policy violations

Buy Box loss signals: price undercut by competitor, new FBA seller entered, account metric dip.

6. Suppression Trigger Checklist

Common suppression causes:

  • Main image does not meet white background requirement
  • Title exceeds character limit for category
  • Missing required attributes (e.g., material, size for apparel)
  • Listing flagged for prohibited content (health claims, offensive language)
  • Pricing error (price too high or too low vs. reference price)
  • ASIN merged/split issue creating content conflict

7. Hijacker Detection Signals

  • Buy Box seller is not your brand
  • Product reviews mention a different product than yours
  • Main image has changed without your action
  • Listing title or bullets contain unfamiliar text
  • Sudden BSR drop with no change in your ad spend or pricing

Listing Health Score

Score each dimension 1–10. Overall Health Score = weighted average:

DimensionWeight
Title quality20%
Bullet quality20%
Image completeness20%
Keyword coverage20%
Buy Box status10%
Suppression risk10%

Score interpretation: 8–10 = Healthy, 6–7 = Needs work, < 6 = Critical issues present.

Output Format

Every audit outputs:

  1. Health Score — numeric score with per-dimension breakdown
  2. Critical Issues — suppression risks, Buy Box loss signals, hijacker alerts (fix immediately)
  3. Content Gaps — missing images, thin bullets, title issues (fix this week)
  4. Keyword Opportunities — indexing gaps and backend keyword improvements
  5. Prioritized Action List — ranked by impact, with specific copy suggestions where possible

Rules

  1. Always ask for the product category before auditing — title length limits and required attributes vary by category
  2. Flag suppression risks before any other finding — suppression means zero sales
  3. Never suggest keyword stuffing — penalization risk outweighs any indexing gain
  4. Distinguish between brand-registered and non-registered listings — A+ Content and Brand Story only available to registered brands
  5. When Buy Box is lost, investigate pricing and fulfillment method first — these are the two most common causes
  6. Note when BSR data is a single snapshot vs. trend — single point is insufficient for meaningful analysis
  7. Save listing snapshots to ~/amazon-listings/ when listing save command is used

平台分布

OpenClaw

74.73%
按下载量换算1,447

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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