qinghu-amazon-trend-hunter SKILL.md skillA

qinghu-amazon-trend-hunter from autoagc/linkpix-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add autoagc/linkpix-skills/qinghu-amazon-trend-hunter@git:20260908.e0bf7eb

Pins git:20260908.e0bf7eb in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
autoagc/linkpix-skills
Path
skills/qinghu-amazon-trend-hunter/SKILL.md
Versions recorded
4
Latest version
git:20260908.e0bf7eb, committed Sep 8, 2026
First version recorded
Aug 20, 2026
Size
12,922 bytes
Repository stars
31
License
MIT

青虎AI 亚马逊爆款趋势挖掘:在 Amazon 海量商品里按销量、销售额、BSR 增长、评分、评论数、利润率、卖家结构等多维条件筛选,挖出当前爆款与潜力热卖单品,并用历史趋势验证是真爆还是昙花一现。当用户要在亚马逊找爆款、挖潜力款、扫类目、看某类目卖得好的商品、判断某款是不是在涨时必须触发。关键词:青虎AI、亚马逊、Amazon、爆款、潜力款、选品、BSR、销量榜、扫类目、趋势。.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 亚马逊-爆款趋势挖掘师 | 青虎AI

在 Amazon 指定站点、指定类目/关键词范围内,按商业条件筛出**当前爆款**与**上升期潜力款**,并用历史趋势排掉「已经过气」和「一波流」的款。

核心逻辑:**先圈范围(类目/关键词)→ 再设条件(销量、增长、竞争度)→ 最后验趋势(是不是还在涨)**。

## 何时触发

- 「亚马逊上现在什么好卖」「帮我扫一下这个类目的爆款」
- 「找销量 5000+、评论少于 100 的潜力款」
- 「这几个款还在涨吗」「是不是季节性的」
- 「XX 类目最近有什么新品跑出来」

## 数据接口

本技能的数据全部来自**青虎数据接口**——一个普通的 HTTP 端点,用任何能发请求的方式调用即可(`curl`、`fetch`、`requests` 都行)。
如果当前环境已经把这些工具做成了可直接调用的工具,那就直接调,不必自己拼请求。

| 项 | 值 |
| --- | --- |
| 地址 | `POST https://www.iqinghu.com/api/desktop/qh/mcp` |
| 必需请求头 | `Authorization: Bearer <青虎密钥>`、`Content-Type: application/json` |
| 密钥来源 | 向用户索取,或读环境变量 `QINGHU_TOKEN` / `QHKIT_TOKEN`;用户先打开 https://www.iqinghu.com/workbench/login?type=1&urlCode=1788417527636 注册/登录,再到 https://www.iqinghu.com/workbench/dashboard/api-keys 生成 |

**HTTP 401 + 空响应体不一定是密钥的问题,按这个顺序排查**:
① **先原样重试一次**——2026-08-18 实测过同一把有效密钥间歇性返回 401 空体、隔一会儿再请求就正常,别一遇到 401 就下结论;
② 检查请求头是不是 `Authorization: Bearer <密钥>`(少了 `Bearer ` 前缀、或改用 `X-Api-Key` / `api-key` 一律 401);
③ 持续 401 时,拿**同一个密钥**请求 `GET https://www.iqinghu.com/api/desktop/qh/workflow/page?pageNum=1&pageSize=5`(同一套鉴权):
返回 200 说明密钥有效,问题在这个端点的账号权限——此时**不要再向用户索要密钥**,请他到青虎工作台开通数据接口权限。
返回一律是纯 JSON,不需要 `Accept: text/event-stream`。

### 1) 查工具入参
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add autoagc/linkpix-skills/qinghu-amazon-trend-hunter@sha256:e5b97f913aab766d

The line at the top of this page pins the label git:20260908.e0bf7eb, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_5zt3d42apcvtwpyn.svg)](https://markdownregistry.com/a/art_5zt3d42apcvtwpyn)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Aug 20, 2026 and Sep 8, 2026, about one every 6 days.

versioncommittedcommitsizeaudit
git:20260908.e0bf7eb latest2026-09-08 e0bf7eb 12,922 BA view · diff
git:20260826.651b96a2026-08-26 651b96a 12,910 BA view · diff
git:20260821.a6e01452026-08-21 a6e0145 12,824 BA view · diff
git:20260820.02ae8322026-08-20 02ae832 13,023 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (12922 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

autoagc/linkpix-skills · 31 stars · license MIT · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_5zt3d42apcvtwpyn
GET https://markdownregistry.com/api/v1/resolve?ref=autoagc/linkpix-skills/qinghu-amazon-trend-hunter
GET https://markdownregistry.com/api/v1/blob/e5b97f913aab766d7ca8125131a0aa2d453b756db2414ed915b29962d6cf3d56

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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