The 4 silent rejection bugs we hit selling across 5 digital platforms — and the pure-Python linter we built to catch them

说明与用途

一款自动化 CLI linters，用于检查在多个平台上销售的数字产品的封面尺寸、披露、合规性和定价。

问题

Digital sellers face silent failures on each platform (image geometry, disclosure, regulatory, pricing) that cause rejection or compliance issues.

结果

Reduced human effort and risk of rejection; Day 7 experiment saved ¥70,000 in human labor.

工作流

• Collect product assets in a directory
• Run python listing_lint.py --dir ./my_products
• Tool parses image headers with struct to verify dimensions
• Checks disclosure tags per platform rules
• Scans for affiliate links, trademarks, forbidden keywords
• Validates pricing metadata for currency, free or negative values
• Reports any violations for correction

证据

After catching these by hand on Day 7 across dozens of SKUs, we wrote a single-file, zero-dependency Python CLI tool called Listing Lint.

来源

Current experiment score on Day 7: Human ¥70,000 — AI ¥0.

来源