/install 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 \x3Casin> # 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 historyreports/— past audit reports (markdown)bsr-log.md— BSR snapshots for trend tracking
Analysis Framework
1. Content Completeness Audit
Title
| Signal | Benchmark |
|---|---|
| Character length | 150–200 chars (category-dependent) |
| Primary keyword | In first 80 characters |
| Brand name | Present |
| Key attributes | Size, color, quantity, material |
| Forbidden elements | No 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
| Requirement | Standard |
|---|---|
| Minimum images | 4 (7+ strongly recommended) |
| Main image | Pure white background, product fills 85%+ of frame |
| Lifestyle images | At least 2 showing product in use |
| Infographic | At least 1 with key specs/benefits called out |
| Size chart | Required for apparel, recommended for any sized product |
| Video | Strongly recommended — increases conversion rate |
4. BSR Benchmarks by Category
| BSR Range | Category Signal |
|---|---|
| Top 100 | Bestseller in category |
| Top 1,000 | Strong seller |
| Top 10,000 | Established, moderate velocity |
| Top 100,000 | Low velocity, optimization needed |
| > 100,000 | Low 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 \x3C 1%
- Late shipment rate: \x3C 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:
| Dimension | Weight |
|---|---|
| Title quality | 20% |
| Bullet quality | 20% |
| Image completeness | 20% |
| Keyword coverage | 20% |
| Buy Box status | 10% |
| Suppression risk | 10% |
Score interpretation: 8–10 = Healthy, 6–7 = Needs work, \x3C 6 = Critical issues present.
Output Format
Every audit outputs:
- Health Score — numeric score with per-dimension breakdown
- Critical Issues — suppression risks, Buy Box loss signals, hijacker alerts (fix immediately)
- Content Gaps — missing images, thin bullets, title issues (fix this week)
- Keyword Opportunities — indexing gaps and backend keyword improvements
- Prioritized Action List — ranked by impact, with specific copy suggestions where possible
Rules
- Always ask for the product category before auditing — title length limits and required attributes vary by category
- Flag suppression risks before any other finding — suppression means zero sales
- Never suggest keyword stuffing — penalization risk outweighs any indexing gain
- Distinguish between brand-registered and non-registered listings — A+ Content and Brand Story only available to registered brands
- When Buy Box is lost, investigate pricing and fulfillment method first — these are the two most common causes
- Note when BSR data is a single snapshot vs. trend — single point is insufficient for meaningful analysis
- Save listing snapshots to
~/amazon-listings/when listing save command is used
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install amazon-listing-health-monitor - 安装完成后,直接呼叫该 Skill 的名称或使用
/amazon-listing-health-monitor触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Amazon Listing Health Monitor 是什么?
Amazon listing health audit agent. Checks title and bullet completeness, keyword coverage, image count, BSR trends, Buy Box eligibility, suppression risk, an... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 188 次。
如何安装 Amazon Listing Health Monitor?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install amazon-listing-health-monitor」即可一键安装,无需额外配置。
Amazon Listing Health Monitor 是免费的吗?
是的,Amazon Listing Health Monitor 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Amazon Listing Health Monitor 支持哪些平台?
Amazon Listing Health Monitor 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Amazon Listing Health Monitor?
由 mguozhen(@mguozhen)开发并维护,当前版本 v1.0.0。