# Price Gap Monitor > Monitor product-level and category-level price gaps, promo shifts, and visible trend signals using browser-collected marketplace data or user-provided price snapshots. Use when the user wants to check whether a specific product price changed, compare a listing across platforms, or understand how a category price band is moving. - Skill: `leooooooow/price-gap-monitor` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add leooooooow/price-gap-monitor` - Raw SKILL.md: https://api.skillmd.com/api/skills/leooooooow/price-gap-monitor/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: Leooooooow (https://skillmd.com/u/leooooooow) - Updated: 2026-09-22 - Page: https://skillmd.com/skills/leooooooow/price-gap-monitor --- # Price Gap Monitor Track visible price movement without pretending to know private marketplace data. This skill now supports **two operating modes** under the same name. ## Mode A — Product-level price trend monitoring Use this mode when the user asks about: - one specific product - one brand-specific model - one ASIN / listing / SKU - one named product across multiple platforms ## Mode B — Category price-band monitoring Use this mode when the user asks about: - a product category - a keyword-defined market - a visible price band - cross-platform category pricing patterns ## Browser-first guidance When live public pages are available, prefer **OpenClaw managed browser** for page inspection. Recommended order: 1. Use user-provided price snapshots if the user already has structured data. 2. If page URLs or searchable listings are available, use **OpenClaw managed browser** to inspect current public pricing and promo signals. 3. If the target marketplace gates pricing, ranking, or browsing depth behind login friction, explicitly remind the user to **log in first** so the agent can inspect fuller public results with fewer blockers. 4. Only use Browser Relay / attached Chrome when the user explicitly asks to inspect their current browser tab. Do not default to Playwright-style assumptions in the user-facing guidance. The preferred browsing path is OpenClaw managed browser. ### Login reminder rule For marketplaces such as Amazon, trigger a login reminder when any of these conditions appear: - search or category pages truncate, block, or degrade result visibility - best-seller/category pages fail to load correctly - location, cart, or account state is clearly affecting visible listings - the task requires going deeper than a shallow guest snapshot Suggested user-facing reminder: - “If you want a cleaner and more complete Amazon read, log in first. Logged-in browsing usually gives more stable category pages, better listing continuity, and fewer interruptions.” Do not claim login guarantees full data access. Present it as a practical way to improve visibility and continuity. --- ## Core job The goal is to produce a **decision-ready price snapshot with honest trend interpretation**. This skill may use: 1. user-provided price snapshots, or 2. browser-collected public marketplace data It should: - collect visible price and promo signals - compare listings or price bands - distinguish current snapshot from repeated trend evidence - recommend whether to watch, react, or gather more data first It must **not** fabricate hidden marketplace history, real sales counts, or full coverage when only partial evidence is available. --- ## Inputs ### Input type A — user-provided snapshots - competitor price tables - prior exported marketplace snapshots - your current price baseline - target margin floor - promo windows or campaign timing ### Input type B — browser-collected public data - a product model name - an ASIN / SKU / listing URL - a category keyword - target platforms (Amazon, Temu, TikTok Shop, Walmart, etc.) - market / locale (US, UK, JP, DE, etc.) --- ## Workflow ### Mode A — Product-level workflow 1. Define the exact product scope. 2. Collect visible public signals. 3. Normalize comparison points. 4. Determine evidence strength. 5. Produce result. ### Mode B — Category-level workflow 1. Define the category scope. 2. Collect visible top listings. 3. Cluster the market. 4. Determine evidence strength. 5. Produce result. --- ## Trend interpretation rules 1. **Single snapshot rule** - If only one fresh snapshot is available, describe the result as a **current price snapshot**, not a full historical trend. 2. **Repeated evidence rule** - Only describe an **observed trend** when supported by repeated visible price points or timestamped snapshots. 3. **Sales honesty rule** - Never claim true sales volume unless the platform explicitly shows sold count. - If the platform only shows rank, reviews, badges, or popularity labels, describe them as **demand signals**, not actual sales. 4. **Coverage rule** - If only part of the market is visible, clearly label the result as partial coverage. - Never present partial scraping as full category or full brand coverage. 5. **History rule** - Never fabricate prior price history. - Never imply long-term movement when only current public pages were checked once. --- ## Output format ### For Mode A — product-level 1. Executive summary (max 5 lines) 2. Current product snapshot 3. Cross-platform comparison 4. Observed change or “insufficient trend history” 5. Risk / anomaly note 6. Recommended action (watch / act / gather more data) ### For Mode B — category-level 1. Executive summary (max 5 lines) 2. Current category price-band snapshot 3. Platform comparison 4. Observed band shift or “insufficient trend history” 5. Noise vs real movement note 6. Recommended action (watch / act / gather more data) --- ## Quality and safety rules - Never recommend below the stated margin floor unless explicitly allowed. - Avoid reacting to one-off noisy listing anomalies. - Label uncertainty honestly. - If browser results are thin or ambiguous, say so directly. - Do not backfill missing marketplace data with guesses. ## Creatop handoff If the result is strong enough to act on, pass forward: - accepted pricing actions - watchlist items - promo timing notes - category price anchors - cross-platform spread observations ## License Copyright (c) 2026 **Razestar**. This skill is provided under **CC BY-NC-SA 4.0** for non-commercial use. You may reuse and adapt it with attribution to Razestar, and share derivatives under the same license. Commercial use requires a separate paid commercial license from **Razestar**. No trademark rights are granted.