Skill: liujm2012/brave-api-search-3-0-2 (version 1.0.0)

--- name: brave-api-search description: Real-time web search, autosuggest, and AI-powered answers using the official Brave Search API. Use for searching documentation, facts, current events, or any web content. Supports AI grounded answers with citations and query autosuggest. Requires BRAVE_SEARCH_API_KEY and BRAVE_ANSWERS_API_KEY. license: MIT metadata: author: Broedkrummen version: 3.0.0 --- # Brave API Search Real-time web search, autosuggest, and AI-powered answers using the official Brave Search API. Three tools: - `brave_search` — web results with titles, URLs, descriptions, optional AI summary - `brave_suggest` — query autosuggestions as users type with optional rich metadata - `brave_answers` — AI-grounded answers with inline citations powered by live web search ## Setup Set your Brave API keys in a local `.env` file (recommended): ```bash # .env (do not commit) BRAVE_SEARCH_API_KEY=your_key_here BRAVE_ANSWERS_API_KEY=your_key_here ``` Or export them in your shell session if needed. Get your keys at: https://api-dashboard.search.brave.com Both keys can be the same if your plan supports both Search and AI Answers endpoints. > Note: `brave_search` and `brave_suggest` use `BRAVE_SEARCH_API_KEY`. `brave_answers` requires `BRAVE_ANSWERS_API_KEY`. > Note: This skill explicitly requires `BRAVE_SEARCH_API_KEY` and `BRAVE_ANSWERS_API_KEY`. It does **not** use a generic `BRAVE_API_KEY` fallback. ## When to Use This Skill **Use `brave_search` when:** - Searching for current information, news, or recent events - Looking up documentation or technical references - Need ranked results with URLs to follow up on - Want an AI summary of search results **Use `brave_suggest` when:** - Power autocomplete in search interfaces - Help users formulate better queries faster - Need query completions as users type - Want rich metadata (titles, descriptions, images) for suggestions **Use `brave_answers` when:** - Need a synthesized answer with cited sources - Researching topics that benefit from multiple sources - Want AI-grounded responses with inline citations - Deep research mode needed (multi-search) **Don't use this skill for:** - Questions already answered from context or memory - Tasks that don't require external information ## Tools ### brave_search Web search returning ranked results with titles, URLs, and descriptions. ``` brave_search(query="latest Node.js release", count=5) brave_search(query="TypeScript generics", extra_snippets=true) brave_search(query="current weather Copenhagen", freshness="pd") brave_search(query="React Server Components", summary=true) ``` **Parameters:** - `query` (required) — Search query, supports operators: `site:`, `"exact phrase"`, `-exclude` - `count` — Results to return (1-20, default: 10) - `country` — 2-letter country code (default: `us`) - `freshness` — Date filter: `pd` (24h), `pw` (7 days), `pm` (31 days), `py` (1 year) - `extra_snippets` — Include up to 5 extra text excerpts per result (default: false) - `summary` — Fetch Brave AI summarizer result (default: false) **Returns:** Formatted list of results with title, URL, description, and optional AI summary. ### brave_suggest Query autosuggest API providing intelligent query autocompletion as users type. ``` brave_suggest(query="hello") brave_suggest(query="pyt", count=5, country="US") brave_suggest(query="einstein", rich=true) ``` **Parameters:** - `query` (required) — Partial query to get suggestions for - `count` — Number of suggestions (1-10, default: 5) - `country` — 2-letter country code (default: `US`) - `rich` — Include enhanced metadata: titles, descriptions, images, entity detection (default: false, requires paid plan) **Returns:** List of query suggestions, optionally with rich metadata. **Best Practices:** - Implement debouncing (150-300ms) to avoid excessive API calls as users type - Load suggestions asynchronously without blocking the UI ### brave_answers AI-powered answers grounded in live web search with inline citations. ``` brave_answers(query="How does React Server Components work?") brave_answers(query="Compare Postgres vs MySQL for OLAP", enable_research=true) brave_answers(query="Latest Python release notes", enable_citations=true) ``` **Parameters:** - `query` (required) — Question or topic to research - `enable_citations` — Include inline source citations (default: true) - `enable_research` — Multi-search deep research mode (default: false) - `country` — Target country for search context (default: `us`) **Returns:** AI answer with cited sources extracted from the response, plus token usage. ## Pricing & Limits Brave pricing is credit-based and can change. Do **not** assume a fixed free request count. Current public guidance (verify in Brave dashboard/docs before production use): - Monthly trial credits may be offered (e.g. `$5 in monthly credits`) - Search and Answers consume credits differently - Rich suggestions require a paid Autosuggest plan - Answers may also include token-based costs - QPS limits depend on your plan tier Always check your live limits and usage in: - https://api-dashboard.search.brave.com - https://brave.com/search/api/ ## Security & Packaging Notes - This skill only calls Brave official endpoints under `https://api.search.brave.com/res/v1`. - It requires exactly two env vars: `BRAVE_SEARCH_API_KEY` and `BRAVE_ANSWERS_API_KEY` (keep them in `.env`, not inline in commands/chats). - It does not request persistent/system privileges and does not modify system config. - It is source-file based (three local Node scripts), with no external install/download step. ## API vs Web Scraping This skill uses the **official Brave Search API** — not web scraping. Benefits: - Reliable, structured JSON responses - Rate limit headers and proper error messages - Access to AI summarizer, AI answers, and autosuggest endpoints - Terms of service compliant


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