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

Agent Skill

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。

总安装

5,527

周安装

235

GitHub Stars

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下载量

1,936
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

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能力 5

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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