spellcheck

📁 brave/brave-search-skills 📅 14 days ago
10
总安装量
9
周安装量
#31117
全站排名
安装命令
npx skills add https://github.com/brave/brave-search-skills --skill spellcheck

Agent 安装分布

gemini-cli 9
opencode 8
github-copilot 8
codex 8
kimi-cli 8
claude-code 7

Skill 文档

Spellcheck

Requires API Key: Get one at https://api.search.brave.com

Plan: Included in the Spellcheck plan. See https://api-dashboard.search.brave.com/app/subscriptions/subscribe

Quick Start (cURL)

curl -s "https://api.search.brave.com/res/v1/spellcheck/search" \
  -H "Accept: application/json" \
  -H "X-Subscription-Token: ${BRAVE_SEARCH_API_KEY}" \
  -G \
  --data-urlencode "q=artifical inteligence" \
  --data-urlencode "lang=en" \
  --data-urlencode "country=US"

Endpoint

GET https://api.search.brave.com/res/v1/spellcheck/search

Authentication: X-Subscription-Token: <API_KEY> header

Parameters

Parameter Type Required Default Description
q string Yes — Query to spell check (1-400 chars, max 50 words)
lang string No en Language preference (2+ char language code, e.g. en, fr, de, pt-br, zh-hans). 51 codes supported
country string No US Search country (2-letter country code or ALL)

Response Fields

Field Type Description
type string Always "spellcheck"
query.original string The input query as submitted
results array Spell-corrected suggestions. May be empty when no correction is found
results[].query string A corrected version of the query

Example Response

{
  "type": "spellcheck",
  "query": {
    "original": "artifical inteligence"
  },
  "results": [
    {
      "query": "artificial intelligence"
    }
  ]
}

Use Cases

  • Pre-search query cleanup: Check spelling before deciding which search endpoint to call
  • “Did you mean?” UI: Show users a corrected suggestion before running the search
  • Batch query normalization: Clean up user inputs in bulk

Notes

  • Built-in alternative: Web Search and LLM Context have spellcheck=true by default — use this standalone endpoint only when you need the correction before searching
  • Context-aware: Corrections consider the full query context, not just individual words