Price Tracker

Monitor product prices across Amazon, eBay, Walmart, and Best Buy to identify arbitrage opportunities and profit margins. Use when finding products to flip, monitoring competitor pricing, tracking price history, identifying arbitrage opportunities, or setting automated price alerts.

The packaged scripts are coherent and use mock data — they do not contact real e-commerce APIs or exfiltrate data. Before using in production: (1) review and implement proper API integrations (Amazon, eBay, Walmart, Best Buy) and store any API keys securely (don’t hardcode them); (2) be aware of each marketplace’s terms of service and rate limits when adding real network calls; (3) validate CSV inputs before bulk runs and run untrusted CSVs in an isolated environment; (4) if you or a contributor add network calls or third-party libraries, re-audit those changes (look for unexpected endpoints, URL shorteners, or downloads). Overall this package appears internally consistent with its stated purpose.

Type: OpenClaw Skill Name: price-tracker Version: 1.0.0 The skill is designed for price tracking and arbitrage analysis. A key finding is that all network interactions with e-commerce platforms are explicitly mocked using `mock_search_product` in `track_product.py`, meaning no actual external network calls are made. File operations are limited to reading CSV input for bulk monitoring (`bulk_monitor.py`) and writing reports/alerts to local files, which aligns with the stated purpose. The `SKILL.md` provides instructions for the user, including how to set up cron jobs, but these are not directives for the AI agent to perform unauthorized system modifications or prompt injection attempts. No evidence of data exfiltration, malicious execution, or persistence mechanisms was found.