Game Account Market Overview

Problem

When the user asks for mall.yy.com game account market signals—recent trading trends, listing data, price distribution, or a market report—the task is market-level sample analysis, not single-account valuation. This skill aggregates public listing samples into price context, sorting perspectives, and key rows.

How it works

• Fetch samples: scripts/fetch_mall_trade_data.py pulls public mall.yy.com listing samples into JSON without cookies, login tokens, or browser session headers.
• Generate report: scripts/generate_market_overview.py converts that JSON into a Markdown market report and returns the report directly.
• Default scope: 20 items per page and 2 pages per sort, using baseline, recent, and high_price.
• Adjust depth: quick review can reduce pages per sort to 1; deeper analysis can raise it to 5; named games are passed with repeated --game arguments.

Boundaries

• The report is based on listing samples, not executed transaction prices.
• Do not use it for “what is my account worth” or single-account valuation.
• Preserve detail links when goodsId is present; disclose the JSON path only when traceability or raw data is needed.