# Send Price Tracker to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "price-tracker", "name": "Price Tracker", "source": "tencent", "type": "skill", "category": "数据分析", "sourceUrl": "https://clawhub.ai/Michael-laffin/price-tracker", "canonicalUrl": "https://clawhub.ai/Michael-laffin/price-tracker", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/price-tracker", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=price-tracker", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "scripts/__init__.py", "scripts/bulk_monitor.py", "scripts/compare_prices.py", "scripts/price_history.py", "scripts/track_product.py" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-23T16:43:11.935Z", "expiresAt": "2026-04-30T16:43:11.935Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/price-tracker" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/price-tracker", "downloadUrl": "https://openagent3.xyz/downloads/price-tracker", "agentUrl": "https://openagent3.xyz/skills/price-tracker/agent", "manifestUrl": "https://openagent3.xyz/skills/price-tracker/agent.json", "briefUrl": "https://openagent3.xyz/skills/price-tracker/agent.md" } } ``` ## Documentation ### Overview Track product prices across multiple e-commerce platforms to identify arbitrage opportunities, profit margins, and optimal buying/selling windows. This skill enables automated price monitoring, historical tracking, and revenue-focused decision making. ### 1. Product Discovery & Monitoring Search and Track Products: Search products by keyword across Amazon, eBay, Walmart, Best Buy Add products to monitoring lists Set target price thresholds Configure alert frequency (hourly, daily, weekly) Example Request: "Monitor iPhone 15 Pro prices across Amazon and eBay. Alert me if the price drops below $800 or if eBay listing is $150+ cheaper than Amazon." ### 2. Arbitrage Analysis Cross-Platform Comparison: Compare identical product prices across platforms Calculate profit margins after fees and shipping Identify flip-worthy opportunities (20%+ margin after costs) Factor in platform fees, shipping costs, and taxes Fee Structure Reference: Amazon: ~15% referral fee eBay: ~13% final value fee + listing fees Walmart: ~8-15% referral fee Example Request: "Find Nintendo Switch bundles where eBay price is 20%+ higher than Amazon, accounting for all fees and shipping costs." ### 3. Historical Price Tracking Price History: Track price changes over time (30, 60, 90 days) Identify seasonal pricing patterns Detect price manipulation or flash sales Export historical data for analysis Example Request: "Show me the price history for AirPods Pro 2 over the last 60 days. Identify the best buying window." ### 4. Automated Alerts Alert Configuration: Price drop alerts (below threshold) Arbitrage opportunity alerts (margin threshold) Competitor price alerts (when competitor lowers price) Bulk product monitoring Example Request: "Set up alerts for all Sony TV models. Alert me if any model drops below $400 or has 25%+ arbitrage margin." ### Track a Single Product # Use scripts/track_product.py python3 scripts/track_product.py \\ --product "Apple iPhone 15 Pro 256GB" \\ --platforms amazon,ebay \\ --alert-below 800 \\ --alert-margin 0.20 ### Bulk Monitor Products from CSV # Use scripts/bulk_monitor.py python3 scripts/bulk_monitor.py \\ --csv products.csv \\ --margin-threshold 0.25 \\ --alert-frequency daily ### Price Comparison Report # Use scripts/compare_prices.py python3 scripts/compare_prices.py \\ --keyword "Sony WH-1000XM5" \\ --platforms amazon,ebay,walmart,bestbuy \\ --report markdown ### Arbitrage Opportunity Discovery Search for products in high-demand categories (electronics, gaming, home goods) Compare prices across all platforms using compare_prices.py Calculate net profit after fees/shipping/taxes Filter opportunities with 20%+ margin Verify product condition and seller reliability Execute or set monitoring for price drops ### Price Drop Monitoring Identify target products (wishlist, seasonally discounted items) Set alert thresholds using track_product.py Monitor historical patterns to predict optimal buy windows Act when price drops below threshold Repeat for seasonal shopping events (Prime Day, Black Friday) ### track_product.py Track a single product across platforms with configurable alerts. Parameters: --product: Product name/keyword --platforms: Comma-separated platforms (amazon,ebay,walmart,bestbuy) --alert-below: Alert when price drops below this amount --alert-margin: Alert when arbitrage margin exceeds this fraction (e.g., 0.20 = 20%) --frequency: Check frequency (hourly,daily,weekly) --output: Output format (json,csv,markdown) Example: python3 scripts/track_product.py \\ --product "Samsung Galaxy S24 Ultra 256GB" \\ --platforms amazon,ebay,walmart \\ --alert-below 900 \\ --alert-margin 0.25 \\ --frequency daily \\ --output markdown ### compare_prices.py Compare prices for a product across all platforms. Parameters: --keyword: Product search keyword --platforms: Comma-separated platforms (default: all) --report: Report format (markdown,json,csv) --sort-by: Sort by price, margin, or rating --min-rating: Minimum seller rating Example: python3 scripts/compare_prices.py \\ --keyword "PlayStation 5 Slim" \\ --platforms amazon,ebay,walmart,bestbuy \\ --report markdown \\ --sort-by margin \\ --min-rating 4.5 ### bulk_monitor.py Monitor multiple products from a CSV file. CSV Format: product,platforms,alert_below,alert_margin "Apple MacBook Air M3 256GB",amazon,ebay,walmart,899,0.20 "Sony PlayStation 5",amazon,ebay,399,0.25 "Dyson V15 Detect",amazon,walmart,bestbuy,500,0.18 Parameters: --csv: Path to CSV file --margin-threshold: Minimum margin to report --alert-frequency: Frequency of alerts --output: Output file for alerts Example: python3 scripts/bulk_monitor.py \\ --csv products.csv \\ --margin-threshold 0.20 \\ --alert-frequency daily \\ --output alerts.txt ### price_history.py Retrieve and analyze historical price data. Parameters: --product: Product name/keyword --days: Number of days of history (default: 30) --platform: Specific platform (optional) --output: Output format (markdown,json,csv) --trend-analysis: Include trend analysis and predictions Example: python3 scripts/price_history.py \\ --product "AirPods Pro 2" \\ --days 60 \\ --trend-analysis \\ --output markdown ### Arbitrage Profit Calculation Always calculate net profit: Net Profit = (Sell Price - Buy Price) - Platform Fees - Shipping Costs - Payment Processing Fees - Taxes Recommended minimum margin: 20-25% to account for: Unexpected shipping delays Returns/refunds Market price fluctuations Time value of money ### Risk Mitigation Verify seller reliability - Check ratings and reviews Check product condition - New, refurbished, or used Factor in return windows - Platforms have different policies Monitor price stability - Volatile prices increase risk Stay within limits - Don't over-leverage on single opportunities ### Seasonal Patterns Q4 (Oct-Dec): Holiday sales, best for electronics January: Post-holiday clearance Prime Day (July): Amazon-specific deals Black Friday/Cyber Monday: Cross-platform discounts Back-to-School (Aug-Sep): Laptops, tablets, accessories ### Set Up Cron Jobs for Automated Monitoring # Check prices every 6 hours 0 */6 * * * /path/to/price-tracker/scripts/bulk_monitor.py --csv products.csv --output alerts.txt # Daily arbitrage scan 0 9 * * * /path/to/price-tracker/scripts/compare_prices.py --keyword "high-demand-products" --report markdown >> /path/to/reports.txt ### Integration with Notifications Combine with notification systems (email, Discord, Telegram) to receive real-time alerts when opportunities are detected. ### Limitations Platform API rate limits may affect search frequency Real-time prices may have slight delays Some platforms restrict scraping (comply with ToS) Seller inventory changes rapidly Revenue first. Track smart. Flip fast. ## Trust - Source: tencent - Verification: Indexed source record - Publisher: Michael-laffin - Version: 1.0.0 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-04-23T16:43:11.935Z - Expires at: 2026-04-30T16:43:11.935Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/price-tracker) - [Send to Agent page](https://openagent3.xyz/skills/price-tracker/agent) - [JSON manifest](https://openagent3.xyz/skills/price-tracker/agent.json) - [Markdown brief](https://openagent3.xyz/skills/price-tracker/agent.md) - [Download page](https://openagent3.xyz/downloads/price-tracker)