Skill: joelazar/kagi-enrich (version 1.0.0)

--- 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](https://help.kagi.com/kagi/api/enrich.html). These are Kagi's "secret sauce" — curated indexes of non-commercial and independent content that complement mainstream search results. Two indexes are available: | Index | Backend | Best for | |-------|---------|----------| | `web` | **Teclis** | Independent websites, personal blogs, open-source projects, non-commercial content | | `news` | **TinyGem** | Non-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. 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`): ```bash export KAGI_API_KEY="your-api-key-here" ``` 6. Install the binary — see [Installation](#installation) below ## Pricing **$2 per 1,000 searches** ($0.002 per query). Billed only when non-zero results are returned. ## Usage ```bash # 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 | Flag | Description | |------|-------------| | `-n <num>` | Max results to display (default: all returned) | | `--json` | Emit JSON output | | `--timeout <sec>` | HTTP timeout in seconds (default: 15) | ## 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: $9.9980 | results: 15] ``` ### JSON (`--json`) ```json { "query": "sqlite internals", "index": "web", "meta": { "id": "abc123", "node": "us-east4", "ms": 386, "api_balance": 9.998 }, "results": [ { "rank": 1, "title": "SQLite Internals: How The World's Most Used Database Works", "url": "https://www.compileralchemy.com/books/sqlite-internals/", "snippet": "A deep-dive into SQLite's B-tree...", "published": "2023-04-01T00:00:00Z" } ] } ``` ## When to Use - **Use `web`** when you want independent, non-commercial perspectives on a topic — personal blogs, indie projects, academic pages, niche communities — results that mainstream search drowns out with SEO-optimized commercial sites - **Use `news`** when you want news and discussions from sources outside the mainstream media cycle — niche outlets, Hacker News threads, Reddit discussions, independent journalists - **Combine with `kagi-search`** for the most complete picture: `kagi-search` for high-quality general results, `kagi-enrich web` for independent voices, `kagi-enrich news` for alternative news angles - **Use `kagi-fastgpt`** instead when you need a synthesized answer rather than a list of sources ### Note on result counts The enrichment indexes are intentionally niche — they may return fewer results than general search. No results for a query means no relevant content was found in that index (and you won't be billed). ## Installation ### Option A — Download pre-built binary (no Go required) ```bash OS=$(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+) ```bash 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.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: suspicious | SkillSpector: suspicious (HIGH)