qinghu-amazon-demand-trend SKILL.md skillA
qinghu-amazon-demand-trend from autoagc/linkpix-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add autoagc/linkpix-skills/qinghu-amazon-demand-trend@git:20261016.5471403Pins git:20261016.5471403 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-demand-trend/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261016.5471403, committed Oct 16, 2026
- First version recorded
- Oct 9, 2026
- Size
- 11,868 bytes
- Repository stars
- 31
- License
- MIT
青虎AI 亚马逊-类目需求趋势：分析指定类目节点的页面浏览量、商品总数、退货率、搜索购买比等需求趋势指标。当用户说「这个类目需求在涨还是在跌」「类目退货率高不高」「浏览量趋势」或提出同类需求时必须触发。关键词：青虎AI、qhkit、青虎数据、亚马逊、Amazon、需求趋势、浏览量、退货率、搜索购买比、选市场商品需求趋势。.
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-类目需求趋势 | 青虎AI
分析指定类目节点的页面浏览量、商品总数、退货率、搜索购买比等需求趋势指标。
数据来自**青虎数据工具** `market_product_demand_trend`（选市场商品需求趋势，平台：亚马逊），通过 `qhkit mcp` 调用——**不需要、也不要去宿主环境里找或配置 MCP server**。
## 何时触发
- 「这个类目需求在涨还是在跌」
- 「类目退货率高不高」
- 「浏览量趋势」
## 调用流程
```bash
qhkit mcp describe '{"names":["market_product_demand_trend"]}' # ① 本会话首次调用前查最新入参与计费（免费）
qhkit mcp estimate '{"names":["market_product_demand_trend"]}' # ② 单次基价（青虎积分，免费）
qhkit mcp call '{"name":"market_product_demand_trend","params":{"request":{"marketplace":"US","nodeIdPath":"<产品所属的类目节点ID>"}}}'
```
- `call` 的 `params` 照 describe 返回的 `inputSchema` 填（下表是快照，**以 describe 为准**）；上面 call 里的值只是占位示意，按用户需求替换，**不要原样提交**。
- 参数复杂或含中文 / 引号时，把 `{"name":...,"params":{...}}` 写进文件，用 `qhkit mcp call @params.json` 调用，避免 shell 转义问题。
…Read the whole file at its exact version.
How to install
mdr add autoagc/linkpix-skills/qinghu-amazon-demand-trend@sha256:b77317d003b689c2The line at the top of this page pins the label git:20261016.5471403, 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.
[](https://markdownregistry.com/a/art_djogvbfsarra774d)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Oct 9, 2026 and Oct 16, 2026, about one every 7 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261016.5471403 latest | 2026-10-16 | 5471403 | 11,868 B | A | view · diff |
| git:20261009.fe0c132 | 2026-10-09 | fe0c132 | 10,222 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11868 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
autoagc/linkpix-skills · 31 stars · license MIT · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_djogvbfsarra774d GET https://markdownregistry.com/api/v1/resolve?ref=autoagc/linkpix-skills/qinghu-amazon-demand-trend GET https://markdownregistry.com/api/v1/blob/b77317d003b689c23bc5439269db0a2a446fb960b812d9ada38e148a719ad1b8
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.