什么是 Kagi Enrichment (kagi-enrich)？

Kagi Enrichment 是一款精密工具，旨在发掘经常被主流搜索引擎掩埋的高质量、非商业内容。通过利用 Kagi 独特的增强索引，此 Openclaw Skills 集成提供了访问独立网站和个人博客的 Teclis，以及访问非主流新闻和利基讨论的 TinyGem。 该技能以高性能 Go 二进制文件形式构建，确保了快速启动时间和零运行时依赖。它是研究人员和开发人员的完美伴侣，他们需要真实、以人为本的信息，而无需受 SEO 优化的商业网站干扰。在 Openclaw Skills 中使用此专门的搜索功能，可确保您的 AI 代理能够找到传统工具错过的深度网络洞察。

下载入口:https://github.com/openclaw/skills/tree/main/skills/joelazar/kagi-enrich

安装与下载

1. ClawHub CLI

从源直接安装技能的最快方式。

2. 手动安装

将技能文件夹复制到以下位置之一

优先级：工作区 > 本地 > 内置

3. 提示词安装

将此提示词复制到 OpenClaw 即可自动安装。

Kagi Enrichment (kagi-enrich) 应用场景

• 发现与利基编程语言相关的独立技术博客和个人项目。 - 追踪主流媒体周期之外的另类新闻视角和讨论。 - 为深入调查研究学术或非商业内容。 - 将无广告、高信号的搜索结果集成到自动研究工作流中。

1. 该技能从用户或代理接收搜索查询和目标索引选择（网页或新闻）。 2. 使用提供的 API 密钥建立与 Kagi Enrichment API 的安全连接。 3. Go 二进制文件针对 Teclis 或 TinyGem 专有数据库执行搜索。 4. 结果数据被解析为清晰、结构化的格式，优先考虑相关性和独立作者身份。 5. 该技能将结果输出为人类可读的文本或机器可解析的 JSON，以便在 Openclaw Skills 中进一步处理。

Kagi Enrichment (kagi-enrich) 配置指南

要开始使用此技能，您需要一个已启用 API 访问权限的 Kagi 账户。 1. 在 Kagi 设置 API 门户生成 API 令牌。 2. 向您的 Kagi 账单账户充值。 3. 在您的 shell 配置文件中导出 API 密钥： bash export KAGI_API_KEY="your-api-key-here" 4. 下载适用于您架构的预构建二进制文件： bash mkdir -p .bin curl -fsSL "https://github.com/joelazar/kagi-skills/releases/download/latest/kagi-enrich" -o .bin/kagi-enrich chmod +x .bin/kagi-enrich

Kagi Enrichment (kagi-enrich) 数据架构与分类体系

该技能将搜索结果组织成详细的架构。使用 JSON 输出模式时，将提供以下字段： | 字段 | 描述 | |-------|-------------| | query | 提供的搜索词 | | index | 使用的具体索引（网页或新闻） | | results | 包含标题、URL、代码段、排名和发布日期的数组 | | meta | 包含 API 剩余余额和响应延迟的元数据 | 这种结构化方法使得将数据传输到其他 Openclaw Skills 进行综合或分析变得容易。

name: kagi-enrich
description: Search Kagi's unique non-commercial web (Teclis) and non-mainstream news (TinyGem) indexes for independent, ad-free content you won't find in regular search results. Use when you want to discover small-web sites, independent blogs, niche discussions, or non-mainstream news on a topic.

Kagi Enrichment

Search Kagi's proprietary enrichment indexes using the Kagi Enrichment API. These are Kagi's "secret sauce" — curated indexes of non-commercial and independent content that complement mainstream search results.

Two indexes are available:

This skill uses a Go binary for fast startup and zero runtime dependencies. The binary can be downloaded pre-built or compiled from source.

Setup

Requires a Kagi account with API access enabled. Uses the same KAGI_API_KEY as all other kagi-* skills.

1. Create an account at https://kagi.com/signup
2. Navigate to Settings → Advanced → API portal: https://kagi.com/settings/api
3. Generate an API Token
4. Add funds at: https://kagi.com/settings/billing_api
5. Add to your shell profile (~/.profile or ~/.zprofile):

   export KAGI_API_KEY="your-api-key-here"
   

6. Install the binary — see Installation below

Pricing

$2 per 1,000 searches ($0.002 per query). Billed only when non-zero results are returned.

Usage

# Search the independent web (Teclis index) — default
{baseDir}/kagi-enrich.sh web "rust async programming"
{baseDir}/kagi-enrich.sh "rust async programming"        # web is the default

# Search non-mainstream news (TinyGem index)
{baseDir}/kagi-enrich.sh news "open source AI"

# Limit number of results
{baseDir}/kagi-enrich.sh web "sqlite internals" -n 5

# JSON output
{baseDir}/kagi-enrich.sh web "zig programming language" --json
{baseDir}/kagi-enrich.sh news "climate change solutions" --json

# Custom timeout
{baseDir}/kagi-enrich.sh web "query" --timeout 30

Options

Output

Default (text)

--- Result 1 ---
Title: SQLite Internals: How The World's Most Used Database Works
URL:   https://www.compileralchemy.com/books/sqlite-internals/
Date:  2023-04-01T00:00:00Z
       A deep-dive into how SQLite's B-tree storage engine, WAL journal...

--- Result 2 ---
...

[API Balance: $9.9980 | results: 15]

JSON (--json)

{
  "query": "sqlite internals",
  "index": "web",
  "meta": {
    "id": "abc123",
    "node": "us-east4",
    "ms": 386,
    "api_balance": 9.998
  },
  "results": [
    {
      "rank": 1,
      "title": "SQLite Internals: How The World's Most Used Database Works",
      "url": "https://www.compileralchemy.com/books/sqlite-internals/",
      "snippet": "A deep-dive into SQLite's B-tree...",
      "published": "2023-04-01T00:00:00Z"
    }
  ]
}

When to Use

• Use web when you want independent, non-commercial perspectives on a topic — personal blogs, indie projects, academic pages, niche communities — results that mainstream search drowns out with SEO-optimized commercial sites
• Use news when you want news and discussions from sources outside the mainstream media cycle — niche outlets, Hacker News threads, Reddit discussions, independent journalists
• Combine with kagi-search for the most complete picture: kagi-search for high-quality general results, kagi-enrich web for independent voices, kagi-enrich news for alternative news angles
• Use kagi-fastgpt instead when you need a synthesized answer rather than a list of sources

Note on result counts

The enrichment indexes are intentionally niche — they may return fewer results than general search. No results for a query means no relevant content was found in that index (and you won't be billed).

Installation

Option A — Download pre-built binary (no Go required)

OS=$(uname -s | tr '[:upper:]' '[:lower:]')
ARCH=$(uname -m)
case "$ARCH" in
  x86_64)        ARCH="amd64" ;;
  aarch64|arm64) ARCH="arm64" ;;
esac

TAG=$(curl -fsSL "https://api.github.com/repos/joelazar/kagi-skills/releases/latest" | grep '"tag_name"' | cut -d'"' -f4)
BINARY="kagi-enrich_${TAG}_${OS}_${ARCH}"

mkdir -p {baseDir}/.bin
curl -fsSL "https://github.com/joelazar/kagi-skills/releases/download/${TAG}/${BINARY}" r
  -o {baseDir}/.bin/kagi-enrich
chmod +x {baseDir}/.bin/kagi-enrich

# Verify checksum (recommended)
curl -fsSL "https://github.com/joelazar/kagi-skills/releases/download/${TAG}/checksums.txt" | r
  grep "${BINARY}" | sha256sum --check

Pre-built binaries are available for Linux and macOS (amd64 + arm64) and Windows (amd64).

Option B — Build from source (requires Go 1.26+)

cd {baseDir} && go build -o .bin/kagi-enrich .

Alternatively, just run {baseDir}/kagi-enrich.sh directly — the wrapper auto-builds on first run if Go is available.

The binary has no external dependencies — only the Go standard library.