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Kagi Enrich

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...

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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...

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: kagi-enrich.sh, SKILL.md, main.go

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: joelazar
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 11 sections Open source page

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: IndexBackendBest forwebTeclisIndependent websites, personal blogs, open-source projects, non-commercial contentnewsTinyGemNon-mainstream news sources, interesting discussions, off-the-beaten-path journalism 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. Create an account at https://kagi.com/signup Navigate to Settings → Advanced → API portal: https://kagi.com/settings/api Generate an API Token Add funds at: https://kagi.com/settings/billing_api Add to your shell profile (~/.profile or ~/.zprofile): export KAGI_API_KEY="your-api-key-here" 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

FlagDescription-n <num>Max results to display (default: all returned)--jsonEmit JSON output--timeout <sec>HTTP timeout in seconds (default: 15)

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).

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}/${BINARY}" \ -o {baseDir}/.bin/kagi-enrich chmod +x {baseDir}/.bin/kagi-enrich # Verify checksum (recommended) curl -fsSL "https://github.com/joelazar/kagi-skills/releases/download/${TAG}/checksums.txt" | \ 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.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

1 Docs1 Scripts1 Files

SKILL.md Primary doc
kagi-enrich.sh Scripts
main.go Files