Community · by zach22-1999Reviewed

Amazon Ads search term report analysis

zach22-1999/zach-search-term-report-analyzer

Reads SP / SB / SD search term reports; scripts aggregate 7 / 14 / 30-day windows and cluster terms by root, the agent labels each root, then each term gets a negate, cut, keep-testing or scale call, with a negative list and a filterable HTML console.

Review notes

Reviewed by moveset · 2026-10-28 · version db1f7d1 · added by editors

Good for: Weekly SP reviews deciding which search terms to negate, cap or scale.
Not for: Automatic bid changes or negatives.
Also: Written in Chinese. One ASIN per run, and you supply the target ACOS.

Install

From the GitHub repository zach22-1999/amazon-skills at commit db1f7d1, take only the skills/zach-search-term-report-analyzer folder and put it in this project's .agents/skills/zach-search-term-report-analyzer/ (for Claude Code, also copy it to .claude/skills/zach-search-term-report-analyzer/). Don't run its scripts yet; tell me where you installed it and what it needs.

Pinned to db1f7d1 (2026-10-15), the version we reviewed and scanned

Installs come from the author's repository, not through moveset. Once the author claims it and hosts it on moveset, moveset install will work and deliver updates.

What it touches

Files: 31 files, 442 KB10 Python scripts (4 are tests), 9 docs, 10 sample and test data files, 2 HTML templates
Runtime: Python 3 with pandas, openpyxl, beautifulsoup4
Network: Analysis is offline; the optional listing-context step fetches the Amazon product page with curl
Scan: Review items, checked by hand · same scan rules as moveset's own skills1 review item checked by hand: browser_utils.py calls curl through subprocess to fetch the Amazon product page, used only in the optional listing-context step.No addresses found in the files

Author's description

分析 Amazon Ads SP / SB / SD 搜索词报告.zach-search-term-report-analyzer · SKILL.md · zach22-1999/amazon-skills@db1f7d1

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