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amazon-listing-health-monitor

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

作者: admin | 来源: ClawHub
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ClawHub
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V 1.0.0
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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 | 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 < 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: | 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, < 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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skill ai

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OpenClaw WorkBuddy QClaw Kimi Claude

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方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 amazon-listing-health-monitor-1776059341 技能

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skillhub install amazon-listing-health-monitor-1776059341

下载 Zip 包

⬇ 下载 amazon-listing-health-monitor v1.0.0

文件大小: 3.95 KB | 发布时间: 2026-4-17 14:04

v1.0.0 最新 2026-4-17 14:04
Amazon Listing Health Monitor 1.0.0 — initial release

- Launches core Amazon listing audit & scoring capabilities: content check, keyword analysis, image review, BSR tracking, Buy Box review, suppression and hijacker detection.
- Returns a prioritized health report for any ASIN, bulk export, or manual listing input.
- Supports workspace for audit history, reports, BSR trend logs, and saved ASIN snapshots.
- Includes detailed audit criteria and weighted health scoring system.
- No API keys or external tools required; works from pasted details, exports, or screenshots.

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