据 AlphaMoat 统计,截至 2026-09,Querit Search 累计下载 2,632 次、获 3 个星标,在全部 5,078 个 AI 技能中排名第 3,996 位,在「知识管理」分类(442 个)中排名第 345 位。

累计安装

142

累计下载

2,632

星标

全站排名

#3,996

全站前 79% · 「知识管理」前 79%

平台	累计安装	累计下载	星标	评论
ClawHub ↗	81	2,475	3	-
SkillHub ↗	142	2,632	3	—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

搜索通过 Querit API 进行，需要配置 QUERIT_API_KEY；文档所述查询长度上限为 72 个字符。网页内容提取会直接访问用户提供的 URL，并非经 Querit 搜索 API 获取。访问非公开 URL 前应核对目的地址和权限；外部搜索结果需回到原始来源核实。

资料发布于 2026-10-29

可以用来做什么

通过 Querit 搜索网页
直接抓取指定 URL 的页面内容
查看文档所述查询长度和 API 密钥要求

什么时候用

已安全配置 Querit API 密钥时
提供的 URL 允许被直接访问时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

区分哪些步骤使用 Querit 搜索，哪些步骤会直接访问指定 URL；不要发起网络请求。

月度数据趋势

累计下载2,632

星标3

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份	累计下载	环比	星标
2026-09	2,632	—	3
2026-08	2,400	+3.2%	3
2026-07	2,326	+7.1%	3
2026-06	2,172	+4.7%	3
2026-05	2,075	—	3
2026-03	1,832	—	3

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

2.7 KB · ClawHub v0.1.0

---
name: querit-search
description: >-
  Web search via Querit.ai API. Use when you need to search the web for
  documentation, current events, facts, or any web content. Returns
  structured results with titles, URLs, and snippets.
metadata: {"openclaw":{"emoji":"🔎","requires":{"env":["QUERIT_API_KEY"]},"primaryEnv":"QUERIT_API_KEY","install":[{"id":"node","kind":"node","label":"Install npm dependencies"}]}}
---

# Querit Search

展开全部(共 94 行)


Web search and content extraction via the Querit.ai API. No browser required.

## Setup

Needs env: `QUERIT_API_KEY` — get a free key at https://querit.ai (1,000 queries/month).

## Search

```bash
node {baseDir}/search.js "query"                          # 5 results (default)
node {baseDir}/search.js "query" -n 10                    # more results (max 100)
node {baseDir}/search.js "query" --lang english            # language filter
node {baseDir}/search.js "query" --country "united states" # country filter
node {baseDir}/search.js "query" --date w1                 # past week (d1/w1/m1/y1)
node {baseDir}/search.js "query" --site-include github.com # only this domain
node {baseDir}/search.js "query" --site-exclude reddit.com # exclude domain
node {baseDir}/search.js "query" --content                 # also extract page content
node {baseDir}/search.js "query" --json                    # raw JSON output
```

Flags can be combined:

```bash
node {baseDir}/search.js "react hooks" -n 3 --lang english --site-include reactjs.org --content
```

## Extract Page Content

```bash
node {baseDir}/content.js https://example.com/article
```

Fetches a URL and extracts the main readable content as markdown.

## Output Format

### Search results (default)

```
1. Page Title
   https://example.com/page
   Site: example.com
   Age: 3 days ago
   Description snippet from search results

2. Another Page
   ...
```

### With --content

After the result listing, each page's extracted markdown content is appended:

```
### 1. Page Title
URL: https://example.com/page

# Extracted heading
Extracted body content in markdown...

---
```

### With --json

Raw JSON array of result objects with fields: `url`, `title`, `snippet`, `page_age`, `page_time`.

## When to Use

- Searching for documentation, API references, or tutorials
- Looking up facts, current events, or recent information
- Finding content from specific websites (use `--site-include`)
- Fetching and reading a web page's content (use `--content` or `content.js`)
- Any task requiring web search without interactive browsing

## Limitations

- Query limited to 72 characters (auto-truncated with warning)
- Max 100 results per query
- Max 20 domains per site filter
- Free tier: 1,000 queries/month, 1 QPS
- Supported languages: english, japanese, korean, german, french, spanish, portuguese