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BytesAgain β€Ί Skills β€Ί Amazon Listing Health Monitor
πŸ¦€ ClawHub

Amazon Listing Health Monitor

by @mguozhen

Amazon listing health audit agent. Checks title and bullet completeness, keyword coverage, image count, BSR trends, Buy Box eligibility, suppression risk, an...

Versionv1.0.0
Installs1
#ecommerce#legal#real-estate#health
TERMINAL
clawhub install amazon-listing-health-monitor

πŸ“– About This Skill

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 β€” 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                 # save listing snapshot to workspace

What Data to Provide

The agent works with:

  • Listing content β€” paste title, bullet points, description, backend keywords
  • ASIN description β€” "ASIN B08XYZ, baby monitor, 3.8 stars, 1200 reviews, BSR 450 in Baby"
  • Seller Central export β€” paste Flat File or Inventory report rows
  • Screenshots β€” listing page, Seller Central listing quality dashboard
  • Metrics β€” "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 β€” saved ASIN profiles and audit history
  • reports/ β€” past audit reports (markdown)
  • bsr-log.md β€” 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 β€” 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 β€” numeric score with per-dimension breakdown 2. Critical Issues β€” suppression risks, Buy Box loss signals, hijacker alerts (fix immediately) 3. Content Gaps β€” missing images, thin bullets, title issues (fix this week) 4. Keyword Opportunities β€” indexing gaps and backend keyword improvements 5. Prioritized Action List β€” ranked by impact, with specific copy suggestions where possible

    Rules

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

    πŸ”’ Constraints

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