Agent skill

Zach Listing Health Checker

by zach22-1999 in zach22-1999/amazon-skills

以真实消费者视角检查亚马逊Listing健康状态。通过网页抓取模拟消费者浏览体验, 检查页面可见性、价格、卖家信息、购物车、配送、类目节点、排名、差评等关键指标, 并验证关键词搜索可见性。使用时机:新品上架后验收、日常巡检、排查Listing异常。

MITAuto-check: notesSales & Support

Install Zach Listing Health Checker

skills CLI
$ npx skills add zach22-1999/amazon-skills --skill zach-listing-health-checker -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zach22-1999/amazon-skills zach-listing-health-checker --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zach22-1999/amazon-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/zach-listing-health-checker .claude/skills/zach-listing-health-checker && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
zach-listing-health-checker
GitHub stars
209
Used in
1 other repo
Token cost
~2.5k tokens
SKILL.md length
649 words
Files
6 (incl. scripts)
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

以真实消费者视角检查亚马逊Listing健康状态。通过网页抓取模拟消费者浏览体验, 检查页面可见性、价格、卖家信息、购物车、配送、类目节点、排名、差评等关键指标, 并验证关键词搜索可见性。使用时机:新品上架后验收、日常巡检、排查Listing异常。

  • Works in 10 steps: 技能定位 → 输入参数 → 检查项详细定义 → …
  • Tasks that involve E-commerce operations
  • SKILL.md covers 前置建议, 1. 技能定位, 2. 输入参数 and 3. 检查项详细定义, plus 4 more sections
  • Runs Python scripts from its folder; calls python3 and pip

What it does

Zach Listing Health Checker is an agent skill from zach22-1999/amazon-skills. 以真实消费者视角检查亚马逊Listing健康状态。通过网页抓取模拟消费者浏览体验, 检查页面可见性、价格、卖家信息、购物车、配送、类目节点、排名、差评等关键指标, 并验证关键词搜索可见性。使用时机:新品上架后验收、日常巡检、排查Listing异常。 触发词:/zach-listing-health-checker

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `README.md`, `scripts/browser_utils.py` and `scripts/fetch_amazon_page.py`).

It sits in Sales & Support, covering E-commerce operations. The repository describes itself as: Open-source Agent Skills for Amazon sellers: product research, feature validation, listing audits, ads search-term analysis, and CVR diagnostics. 亚马逊跨境电商 Skills。 The licence is MIT.

When your agent uses it

  • Tasks that involve E-commerce operations

Example prompts

  • “/zach-listing-health-checker”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Read, Glob, Bash, Write, Edit, Grep

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. 技能定位
  2. 输入参数
  3. 检查项详细定义
  4. 执行步骤(详细)
  5. 输出报告模板
  6. 数据诚信规则
  7. 局限性与应对
  8. 使用场景
  9. 与其他技能的数据流
  10. 依赖环境

What it can do on your machine

Read from SKILL.md and the folder at commit 5c790ea. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Bash
    • Write
    • Edit
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 4 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Zach Listing Health Checker loads about 2.5k tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 649 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Glob, Bash, Write, Edit, Grep

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from zach22-1999/amazon-skills at commit 5c790ea, republished under its MIT licence (© zach22-1999). 649 words, ~2,500 tokens.

Download SKILL.mdSave it as .claude/skills/zach-listing-health-checker/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
zach-listing-health-checker
description
以真实消费者视角检查亚马逊Listing健康状态。通过网页抓取模拟消费者浏览体验, 检查页面可见性、价格、卖家信息、购物车、配送、类目节点、排名、差评等关键指标, 并验证关键词搜索可见性。使用时机:新品上架后验收、日常巡检、排查Listing异常。 触发词:/zach-listing-health-checker
allowed-tools
Read, Glob, Bash, Write, Edit, Grep
user-invocable
true
risk-level
low

前置建议

本公开版 Skill 是自包含的,不依赖任何私有工作区文件、内部参考库或品牌专属协议。

开始执行前,建议先通读本 Skill 自身的方法论部分,重点关注:

  • 页面可访问性判断
  • Buy Box / Add to Cart / 配送状态的异常标准
  • 搜索可见性验证逻辑

如果你已经有自己的 Listing 诊断框架,可以作为补充背景使用;但本 Skill 的执行不依赖外部私有资料。

Listing 健康检查器 — 完整方法论

1. 技能定位

核心理念

通过 curl + BeautifulSoup 抓取亚马逊服务端渲染的 HTML,不借助任何 API 或第三方数据工具。

原因:我们要验证的是"消费者打开亚马逊能看到什么"。任何 API 返回的数据都可能与前台页面不一致(缓存、区域差异、权限差异)。这个技能的价值就在于所见即所得。

亚马逊商品页面的核心数据(标题、价格、卖家、BSR、评论等)全部在服务端渲染的 HTML 中,无需 JavaScript 执行。curl 配合正确的浏览器 Headers 可稳定获取完整页面(~2.4MB HTML)。

Script Directory

脚本位于 skills/zach-listing-health-checker/scripts/:

  • browser_utils.py — 通用网页抓取模块(curl 封装、站点配置、反爬检测),其他 Skill 可复用
  • fetch_amazon_page.py — 商品页面抓取,提取 9 项检查数据,输出 JSON
  • fetch_amazon_search.py — 搜索结果页抓取,检查 ASIN 搜索可见性,输出 JSON
工作流位置
新品上架流程:
  zach-new-product-listing-writer → zach-launch-checklist-generator
      → 【zach-listing-health-checker:上架验收】
      → zach-ad-campaign-builder → 广告投放

日常运营:
  定期巡检 → 【zach-listing-health-checker】→ 发现问题 → 人工修复 → 复检
上下游
方向技能关系
上游zach-new-product-listing-writerListing 创建完成后需要验收
上游zach-launch-checklist-generator上架检查清单的执行环节之一
下游人工修复检查出问题后需要人工介入
下游复检(再次调用本技能)修复后重新验证

2. 输入参数

参数必需默认值说明
ASIN✅ 是—10 位字母数字,通常以 B0 开头
站点代码否US支持的站点见下方列表
卖家名称否—用于校验 Sold By 是否正确
核心关键词否—逗号分隔,用于搜索可见性验证
支持站点配置
站点代码域名默认邮编货币
USamazon.com90001USD
UK / GBamazon.co.ukSW1A 1AAGBP
DEamazon.de10115EUR
FRamazon.fr75001EUR
ITamazon.it00100EUR
ESamazon.es28001EUR
CAamazon.caM5V 2T6CAD
JPamazon.co.jp100-0001JPY
MXamazon.com.mx06600MXN
AUamazon.com.au2000AUD

3. 检查项详细定义

3.1 页面可访问性

检查内容:页面是否正常渲染商品信息。

状态判断条件
✅ 正常页面包含商品标题、图片、价格等核心元素
❌ 异常出现狗狗页面(Dog page)、404、"Looking for something?"、"Currently unavailable"、验证码页面

常见异常场景:

  • ASIN 被下架 → 狗狗页面或 "Currently unavailable"
  • ASIN 被合并到其他变体 → 自动跳转
  • 区域限制 → "This item does not ship to your location"
3.2 价格与优惠

检查内容:当前售价、划线价、折扣、优惠券。

状态判断条件
✅ 正常有明确售价显示
⚠️ 需关注价格与预期差异较大(需用户判断)
❌ 异常无价格显示、显示 "See price in cart"、或价格为 $0

记录字段:

  • 当前售价
  • 划线价(List Price / Was Price)
  • 折扣百分比
  • 优惠券(Coupon)金额或百分比
  • 是否有"Subscribe & Save"折扣
3.3 卖家信息(Buy Box)

检查内容:Sold by 和 Ships from 信息。

状态判断条件
✅ 正常Sold by 显示为用户指定的卖家名称
❌ 异常Sold by 不是指定卖家(Buy Box 被抢)
⚠️ 需关注用户未指定卖家,仅记录当前信息

记录字段:

  • Sold by:卖家名称
  • Ships from:发货方(Amazon / 卖家名 / 第三方)
  • 是否为 FBA(Ships from Amazon)
3.4 购物车状态

检查内容:是否有 Add to Cart / Buy Now 按钮。

状态判断条件
✅ 正常同时显示 Add to Cart 和 Buy Now
⚠️ 需关注只有 Add to Cart 没有 Buy Now,或显示 "See All Buying Options"
❌ 异常无购买按钮,或显示 "Currently unavailable"
3.5 配送信息

检查内容:预计送达时间和 Prime 状态。

状态判断条件
✅ 正常有明确的预计送达日期,且在 7 天以内
⚠️ 需关注配送时间 7-14 天
❌ 异常配送时间超过 14 天、或无配送信息

记录字段:

  • 预计送达日期
  • 是否有 Prime 标识
  • 配送费用(免费/具体金额)
3.6 类目与节点

检查内容:

  1. 搜索栏旁的大类(department selector)
  2. 面包屑导航中的销售节点路径(通常在主图上方)
状态判断条件
✅ 正常能正常显示类目信息
⚠️ 需人工确认类目信息显示正常,但需人工确认是否为期望的节点

记录字段:

  • 搜索栏大类名称
  • 面包屑完整路径(如 Musical Instruments › Electronic Music, DJ & Karaoke › Karaoke Equipment › Systems › Portable Systems)

注意:类目节点的"正确性"需要人工判断,技能只负责抓取和展示,不做自动判断。

3.7 BSR 排名

检查内容:Best Sellers Rank 在各层级类目中的排名。

状态判断条件
✅ 正常有 BSR 排名数据
⚠️ 需关注排名显著下跌(需历史对比)
❌ 异常无 BSR 排名(可能表示商品未正常入库或类目异常)

记录字段:

  • 每个层级的类目名称 + 排名数字
  • 示例:#152 in Musical Instruments → #3 in Portable Karaoke Systems
3.8 差评监控

检查内容:首页评论中的差评(1-3 星)数量和内容。

状态判断条件
✅ 正常首页 0 条差评
⚠️ 需关注首页 1-2 条差评
❌ 异常首页 3 条及以上差评

记录字段:

  • 总评分(星级)
  • 总评论数
  • 首页差评条数
  • 每条差评的:星级、标题、简要内容、日期
  • 差评趋势判断:首次检查标注「首次检查,无历史对比基线」;有历史报告时对比差评数变化
Show full SKILL.md (257 more words)Show less
3.9 搜索可见性

检查内容:用核心关键词搜索后,商品是否出现在搜索结果首页。

状态判断条件
✅ 正常在首页自然位找到
⚠️ 需关注仅在广告位找到,自然位未找到
❌ 异常首页完全未找到(可能被压制或搜索不可见)

关键操作:

  • 搜索时确保选择 "All Departments",不要被限定在某个子类目
  • 区分自然位(Organic)和广告位(Sponsored)
  • 记录具体位置编号

4. 执行步骤(详细)

Step 1:参数解析与准备
  1. 从用户输入中提取 ASIN、站点代码、卖家名称、核心关键词
  2. 验证 ASIN 格式(10 位字母数字)
  3. 根据站点代码查找域名和默认邮编
  4. 如果用户未提供站点代码,默认使用 US
  5. 构建商品页面 URL:https://{domain}/dp/{ASIN}
Step 2:抓取商品页面

运行 fetch_amazon_page.py 脚本抓取商品页面并提取结构化数据:

bash
python3 skills/zach-listing-health-checker/scripts/fetch_amazon_page.py {ASIN} --site {站点代码}

脚本输出 JSON,包含以下字段:

  • page_status:页面状态(ok / dog_page / unavailable / captcha / fetch_failed)
  • title:商品标题
  • price:当前售价、划线价、折扣、优惠券
  • seller:sold_by、ships_from
  • cart:add_to_cart、buy_now、see_all_buying_options
  • delivery:配送文本、Prime 标识
  • category:搜索栏大类、面包屑路径
  • bsr:各层级排名和类目
  • ratings:评分星级、评论总数
  • reviews_on_page:首页评论详情(星级、标题、日期、内容、是否差评)
  • variants:变体信息
  • stock:库存状态
  • anomalies:异常提示列表
Step 3:解析检查结果

将脚本返回的 JSON 数据逐项对照第 3 节的判断标准,为每个检查项标记状态:

  • ✅ 正常
  • ⚠️ 需关注
  • ❌ 异常

对于脚本未能提取的字段(值为空或缺失),标注为「⚠️ 未能获取」,不做推测。

Step 4:搜索可见性检查

⛔ 仅在用户提供了核心关键词时执行本步骤。

对每个核心关键词,运行 fetch_amazon_search.py 脚本:

bash
python3 skills/zach-listing-health-checker/scripts/fetch_amazon_search.py "{keyword}" {ASIN} --site {站点代码}

脚本输出 JSON,包含:

  • target_found:目标 ASIN 是否在首页
  • target_position:位置编号
  • target_type:organic(自然位)或 sponsored(广告位)
  • search_department:搜索范围
  • first_page_results:首页所有结果列表(含 ASIN、标题、位置、类型)
  • captcha:是否被验证码拦截

根据第 3.9 节的判断标准标记搜索可见性状态。

注意:多个 ASIN 搜索同一关键词时,只需抓取一次搜索结果页,在结果中查找所有目标 ASIN。

Step 5:生成健康检查报告

按照第 5 节的报告模板,将所有检查结果整理为 Markdown 报告。

总体评估逻辑:

  • 🟢 全部通过:所有 9 项均为 ✅
  • 🟡 需关注:有 ⚠️ 但无 ❌
  • 🔴 有异常:有任何一项 ❌
Step 6:保存报告

将报告保存到:

outputs/listing-health-check/{品牌名或ASIN}/{YYYY-MM-DD}_{ASIN}_健康检查报告.md

如果无法从页面确定品牌名,使用卖家名称或 ASIN 作为目录名。

Step 7:输出摘要

在终端向用户输出:

  1. 总体评估状态(🟢/🟡/🔴)
  2. 异常项和需关注项的简要列表
  3. 报告文件的保存路径

5. 输出报告模板

markdown
---
created: YYYY-MM-DD HH:MM
topic: {ASIN} Listing 健康检查
type: 健康检查报告
data_sources: 亚马逊官网页面抓取(curl + BeautifulSoup)
---

# {ASIN} Listing 健康检查报告

> 检查时间:YYYY-MM-DD HH:MM
> 站点:{站点代码} ({域名}) | 邮编:{邮编}
> 商品标题:{完整标题}

## 总体评估

| 状态 | 说明 |
|------|------|
| 🟢 / 🟡 / 🔴 | {一句话总结,如"链接健康,所有指标正常"} |

通过:X/9 | 需关注:X | 异常:X

---

## 逐项检查结果

### 1. ✅/❌ 页面可访问性
- **状态**:正常 / 异常
- **详情**:{具体描述}

### 2. ✅/⚠️/❌ 价格与优惠
- **当前售价**:${XX.XX}
- **划线价**:${XX.XX} / 无
- **折扣**:{X% off} / 无
- **优惠券**:{金额或百分比} / 无
- **Subscribe & Save**:{折扣} / 无

### 3. ✅/❌ 卖家信息(Buy Box)
- **Sold by**:{卖家名}
- **Ships from**:{发货方}
- **期望卖家**:{用户指定} → ✅ 匹配 / ❌ 不匹配 / 未指定

### 4. ✅/⚠️/❌ 购物车状态
- **Add to Cart**:有 / 无
- **Buy Now**:有 / 无
- **Buy Box 持有**:是 / 否

### 5. ✅/⚠️/❌ 配送信息
- **预计送达**:{日期}
- **Prime**:是 / 否
- **配送费**:{免费 / 金额}
- **判断**:正常(≤7天)/ 偏慢(7-14天)/ 异常(>14天)

### 6. ✅/⚠️ 类目与节点
- **搜索栏大类**:{大类名称}
- **面包屑路径**:{完整路径}
- **提示**:请人工确认节点是否为期望类目

### 7. ✅/⚠️/❌ BSR 排名

| 层级 | 类目 | 排名 |
|------|------|------|
| 大类 | {类目名} | #{排名} |
| 子类1 | {类目名} | #{排名} |
| 子类2 | {类目名} | #{排名} |

### 8. ✅/⚠️/❌ 差评监控
- **总评分**:{X.X} 星({X,XXX} 条评论)
- **首页差评数**:{X} 条
- **差评趋势**:首次检查,无历史对比基线 / 较上次 {增加/减少} {X} 条

差评详情:

| 星级 | 标题 | 日期 | 内容摘要 |
|------|------|------|----------|
| ⭐{X} | {标题} | {日期} | {内容} |

### 9. ✅/⚠️/❌ 搜索可见性

| 关键词 | 搜索范围 | 是否找到 | 位置 | 类型 |
|--------|----------|----------|------|------|
| {keyword1} | All Departments | 是/否 | #{位置} | 自然/广告 |
| {keyword2} | {范围} | {结果} | {位置} | {类型} |

---

## 问题清单与行动建议

| 优先级 | 问题 | 建议操作 |
|--------|------|----------|
| 🔴 高 | {问题描述} | {具体建议} |
| 🟡 中 | {问题描述} | {具体建议} |

---

## 原始数据快照

> 以下为脚本抓取的原始关键信息,供核对。

{保留核心原始数据,便于日后审计}

6. 数据诚信规则

本技能严格遵守以下数据原则:

  1. 数据来源唯一:所有信息来自亚马逊官网页面抓取(curl + BeautifulSoup),不使用 Sorftime MCP 或其他任何第三方数据工具。
  2. 不推测未获取信息:脚本无法提取的字段,标注为「⚠️ 未能获取」,绝不编造。
  3. 标注数据时效:报告中明确标注检查时间,说明"结果仅代表检查时刻的页面快照"。
  4. 区分事实与判断:
    • 页面抓取到的原始信息 = 📊 数据事实
    • 基于检查结果给出的建议 = 💡 分析推断
  5. 差评趋势需历史对比:首次检查只记录快照,不做"是否新增差评"的判断;有历史报告时才做对比。

7. 局限性与应对

局限说明应对方式
JS 动态内容curl 获取服务端渲染 HTML,JS 动态加载的内容可能缺失如关键信息缺失,标注「⚠️ 可能因动态加载未获取」
反爬机制亚马逊可能返回验证码或简化页面脚本自动检测验证码,报告中标注「❌ 被亚马逊拦截,建议手动检查」
地域差异未实际设置邮编,可能影响价格和配送显示在报告中说明使用的邮编和站点
搜索个性化搜索结果受算法影响注明"搜索结果为特定时刻快照,实际可能因用户画像不同而异"
单次快照无法检测"突然新增差评"等时序变化建议定期执行并对比历史报告

8. 使用场景

场景 1:新品上架验收
/zach-listing-health-checker B0XXXXXXXXX US MyBrand "main keyword, secondary keyword"

上架 24-48 小时后执行,重点关注:

  • 页面是否正常
  • Buy Box 是否在自己手上
  • 搜索关键词是否可见
场景 2:日常巡检
/zach-listing-health-checker B0XXXXXXXXX

每周例行检查,重点关注:

  • 差评数量变化
  • Buy Box 是否丢失
  • 价格是否正确
场景 3:异常排查
帮我检查 B0XXXXXXXXX,最近销量突然下降,看看链接有没有问题

侧重排查:

  • 是否被压制(搜索不可见)
  • Buy Box 是否被抢
  • 是否有新差评爆发
场景 4:批量检查(多 ASIN)

用户提供多个 ASIN 时,逐个执行完整检查流程,最后输出汇总表。


9. 与其他技能的数据流

本技能不消费其他技能的输出,也不产出供其他技能消费的数据。
它是一个独立的"健康巡检"工具,输出人可读的诊断报告。

唯一的"数据流"是历史报告对比:
  本次报告 ↔ 上次报告(同一 ASIN)→ 差评趋势判断

10. 依赖环境

  • Python 3:运行抓取脚本
  • beautifulsoup4:HTML 解析(pip install beautifulsoup4)
  • curl:系统自带,用于 HTTP 请求
  • Bash 工具:用于执行 Python 脚本
  • Write 工具:用于保存报告文件
  • Read 工具:用于读取历史报告(差评趋势对比)
  • Glob 工具:用于查找历史报告文件

无需 Sorftime MCP、无需外部 API。脚本均位于 skills/zach-listing-health-checker/scripts/ 目录。

风险与边界

  • risk-level: low — 纯分析/信息收集,只读取公开前台页面,不涉及任何账号操作

上游 / 下游

  • 上游:无(直接输入 ASIN 或 URL)
  • 下游:zach-listing-rufus-optimizer(内容诊断)、zach-asin-sales-anomaly-analyzer(异常排查)

完成后

报告完成状态:DONE / DONE_WITH_CONCERNS / BLOCKED / NEEDS_CONTEXT

© zach22-1999, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts) in skills/zach-listing-health-checker of zach22-1999/amazon-skills.

  • SKILL.md
  • README.md
  • scripts/browser_utils.py
  • scripts/fetch_amazon_page.py
  • scripts/fetch_amazon_search.py
  • scripts/run_health_check.py

Open the folder on GitHubat commit 5c790ea

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in zach22-1999/amazon-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Zach Listing Health Checker next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Zach Listing Health Checker compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Zach Listing Health Checker this skillzach22-1999/amazon-skills2091 repos~2.5kAutomated safety check: NotesMIT
Amazon Buy Box Monitorbrowser-act/skills6.1k1 repos~1.6kAutomated safety check: PassMIT
Tourmind Bookingtourmind-com/Tourmind-Booking-Skills1.8k—~13kAutomated safety check: PassMIT
Ecommerce Image Suitewzj177/ecommerce-image-suite449—~10kAutomated safety check: PassApache-2.0
Caramel CouponsDevinoSolutions/caramel141—~1.1kAutomated safety check: PassAGPL-3.0
Checkout Purchasekeypo-us/keypo-cli182—~880Automated safety check: NotesNone

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Categories

Questions about Zach Listing Health Checker

What does Zach Listing Health Checker do?

以真实消费者视角检查亚马逊Listing健康状态。通过网页抓取模拟消费者浏览体验, 检查页面可见性、价格、卖家信息、购物车、配送、类目节点、排名、差评等关键指标, 并验证关键词搜索可见性。使用时机:新品上架后验收、日常巡检、排查Listing异常。. Zach Listing Health Checker is an agent skill from zach22-1999/amazon-skills.

When should I use Zach Listing Health Checker?

Zach Listing Health Checker fits situations like: tasks that involve E-commerce operations.

How do I install Zach Listing Health Checker in Claude Code?

Run `npx skills add zach22-1999/amazon-skills --skill zach-listing-health-checker -a claude-code`. Or copy the skill folder (skills/zach-listing-health-checker in zach22-1999/amazon-skills) into .claude/skills/zach-listing-health-checker in your project. Claude Code loads it when a task matches its description.

How do I install Zach Listing Health Checker in Codex?

Run `npx skills add zach22-1999/amazon-skills --skill zach-listing-health-checker -a codex`. Or copy the skill folder (skills/zach-listing-health-checker in zach22-1999/amazon-skills) into .agents/skills/zach-listing-health-checker in your project. Codex loads it when a task matches its description.

Can I use Zach Listing Health Checker in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zach22-1999/amazon-skills --skill zach-listing-health-checker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/zach-listing-health-checker, .gemini/skills/zach-listing-health-checker, .github/skills/zach-listing-health-checker and .opencode/skills/zach-listing-health-checker in your project.

What does Zach Listing Health Checker need to run?

Going by SKILL.md and its folder, Zach Listing Health Checker needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and pip). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Glob, Bash, Write, Edit, Grep.

Does Zach Listing Health Checker access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Zach Listing Health Checker safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Zach Listing Health Checker use?

Zach Listing Health Checker is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Zach Listing Health Checker use?

About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Zach Listing Health Checker?

Skills that share tags, products or a category with Zach Listing Health Checker: Amazon Buy Box Monitor (browser-act/skills, 6.1k stars), Tourmind Booking (tourmind-com/Tourmind-Booking-Skills, 1.8k stars), Ecommerce Image Suite (wzj177/ecommerce-image-suite, 449 stars) and Caramel Coupons (DevinoSolutions/caramel, 141 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Zach Listing Health Checker?

zach22-1999 (a GitHub user) maintains it in zach22-1999/amazon-skills, which has 209 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on August 20, 2026.

Source: zach22-1999/amazon-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.