Bx Search logo

Bx Search

Organization
brave
bx-search

Web search using the Brave Search CLI (`bx`). Use for ALL web search requests — including "search for", "look up", "find", "what is", "how do I", "google this", and any request needing current or external information. Prefer this over the built-in web_search tool whenever bx is available. Also use for: documentation lookup, troubleshooting research, RAG grounding, news, images, videos, local places, and AI-synthesized answers.

Overview

Publisherbrave
Repositorybrave-search-skills
Skill namebx-search
Stars
182
Forks
17
Bundled files
Instructions only
LicenseMIT-0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by brave on GitHub. Read the source before you install it.

Installation

Install the Bx Search AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/brave/brave-search-skills/tree/main/clawhub/bx-search
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/brave/brave-search-skills.git /tmp/brave-search-skills
mkdir -p .claude/skills
cp -r /tmp/brave-search-skills/clawhub/bx-search .claude/skills/bx-search
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bx Search in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Bx Search on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Bx Search is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

bx — Brave Search CLI

Agent Directive

When this skill is active, use bx via exec for all web searches. Do not use the built-in web_search tool. Run bx context "query" as the default — it returns pre-extracted, token-budgeted content ready for use. Fall back to bx answers for synthesized explanations or bx web when search operators are needed.

A zero-dependency, token-efficient CLI for the Brave Search API, built for AI agents and LLMs.

One binary, JSON in/out, no runtime dependencies. The default subcommand is context — bare bx "query" is equivalent to bx context "query". It replaces search + scrape + extract in a single call with token-budgeted output — purpose-built for RAG and LLM grounding.

Quick Start

macOS/Linux

bash
curl -fsSL https://raw.githubusercontent.com/brave/brave-search-cli/main/scripts/install.sh | sh

Windows (PowerShell)

powershell
powershell -ExecutionPolicy Bypass -c "irm https://raw.githubusercontent.com/brave/brave-search-cli/main/scripts/install.ps1 | iex"
bash
bx config set-key YOUR_API_KEY    # get a key at https://api-dashboard.search.brave.com
bx "your search query"
bx --help                        # see all commands; bx <command> --help for flags

Getting an API Key

  1. Sign up at https://api-dashboard.search.brave.com/register
  2. Choose a plan — all plans include $5/month free credits (~1,000 free queries). Different endpoints may require different plans.
  3. Go to "API Keys" in the dashboard, generate a key (shown once — save it)

Configuring the API Key

Three methods, in priority order:

PriorityMethodExample
1 (highest)--api-key flagbx --api-key KEY web "test"
2BRAVE_SEARCH_API_KEY env varexport BRAVE_SEARCH_API_KEY=KEY
3Config filebx config set-key KEY

The config file is stored at ~/.config/brave-search/api_key (Linux), ~/Library/Application Support/brave-search/api_key (macOS), or %APPDATA%\brave-search\api_key (Windows).

Security tip: Prefer the env var or config file over --api-key, which is visible in process listings. Use bx config set-key without an argument to enter the key interactively, avoiding shell history.

For AI Agents

Use context by default. It returns pre-extracted, relevance-scored web content ready for LLM prompt injection. One API call replaces the search → scrape → extract pipeline.

bash
# RAG grounding with token budget
bx context "Python TypeError cannot unpack non-iterable NoneType" --max-tokens 4096

# Direct AI answer (OpenAI-compatible, streams by default)
bx answers "explain Rust lifetimes with examples"

# Raw web search when you need site: scoping or result filtering
bx web "site:docs.rs axum middleware" --count 5

Note: Some examples below pipe output through jq for illustration. Do not assume jq is installed — if you need to filter JSON in a shell pipeline, use whatever is available in your environment (e.g., jq, PowerShell's ConvertFrom-Json, Python's json module), or simply read the raw JSON output directly.

When to Use Which Command

Your needCommandWhy
Look up docs, errors, code patternscontextPre-extracted text, token-budgeted
Get a synthesized explanationanswersAI-generated, cites sources
Search a specific site (site:)webSupports search operators
Find discussions/forumsweb --result-filter discussionsForums often have solutions
Check latest versions/releasescontext or news --freshness pdFresh info beyond training data
Research security vulnerabilitiescontext or newsCVE details, advisories
Boost/filter specific domains--goggles on context/web/newsCustom re-ranking, no other API has this

Response Shapes

bx context — RAG/grounding (recommended)

json
{
  "grounding": {
    "generic": [
      { "url": "...", "title": "...", "snippets": ["extracted content...", "..."] }
    ]
  }
}

bx answers --no-stream — AI answer (single response)

json
{"choices": [{"message": {"content": "Rust lifetimes ensure references..."}}]}

bx answers — AI answer (streaming, one JSON chunk per line)

json
{"choices": [{"delta": {"content": "R"}}]}
{"choices": [{"delta": {"content": "u"}}]}
{"choices": [{"delta": {"content": "s"}}]}
{"choices": [{"delta": {"content": "t"}}]}
{"choices": [{"delta": {"content": " "}}]}

bx web — Full search results

json
{
  "web": { "results": [{"title": "...", "url": "...", "description": "..."}] },
  "news": { "results": [...] },
  "videos": { "results": [...] },
  "discussions": { "results": [...] }
}

Agent Workflow Examples

Debugging an error:

bash
bx "Python TypeError cannot unpack non-iterable NoneType" --max-tokens 4096

Evaluating a dependency:

bash
bx context "reqwest crate security issues maintained 2026" --threshold strict
bx news "reqwest Rust crate" --freshness pm

Corrective RAG loop:

bash
# 1. Broad search
bx "axum middleware authentication" --max-tokens 4096
# 2. Too general? Narrow down
bx "axum middleware tower layer authentication example" --threshold strict --max-tokens 4096
# 3. Still need synthesis? Ask for an answer
bx answers "how to implement JWT auth middleware in axum" --enable-research

Checking for breaking changes before upgrading:

bash
bx context "Next.js 15 breaking changes migration guide" --max-tokens 8192
bx news "Next.js 15 release" --freshness pm

Focused search with Goggles (custom re-ranking):

bash
bx "Python asyncio gather vs wait" \
  --goggles '$boost=3,site=docs.python.org
/docs/$boost=3
/blog/$downrank=2
$discard,site=geeksforgeeks.org
$discard,site=w3schools.com' --max-tokens 4096

Token budget control:

bash
bx context "topic" --max-tokens 4096 --max-tokens-per-url 1024 --max-urls 5

Non-streaming answers (for programmatic use):

bash
bx answers "compare SQLx and Diesel for Rust" --no-stream | jq '.choices[0].message.content'

Answers stdin mode — pass - to read a full JSON request body:

bash
echo '{"messages":[{"role":"user","content":"review this code for security issues"}]}' | bx answers -

Other commands:

bash
bx images "system architecture diagram microservices" | jq '.results[].thumbnail.src'
bx suggest "how to implement" --count 10 | jq '.results[].query'
bx places "coffee" --location "San Francisco CA US" | jq '.results[].title'
bx web "restaurants near me" --lat 37.7749 --long -122.4194 --city "San Francisco"
bx web "rust" --result-filter "web,discussions"

Commands

CommandDescriptionOutput Shape
contextRAG/LLM grounding — pre-extracted web content.grounding.generic[] → {url, title, snippets[]}
answersAI answers — OpenAI-compatible, streaming.choices[0].delta.content (stream)
webFull web search — all result types.web.results[], .news.results[], etc.
newsNews articles with freshness filters.results[] → {title, url, age}
imagesImage search (up to 200 results).results[] → {title, url, thumbnail.src}
videosVideo search with duration/views.results[] → {title, url, video.duration}
placesLocal place/POI search (200M+ POIs).results[] → {title, postal_address, contact}
suggestAutocomplete/query suggestions.results[] → {query}
spellcheckSpell-check a query.results[0].query
poisPOI details by ID(use IDs from places)
descriptionsAI-generated POI descriptions.results[].description
configManage API keyset-key, show-key, path

Goggles — Custom Search Re-Ranking

Brave Goggles let you define custom re-ranking rules for search results. Boost domains, URL paths, or content patterns; downrank noise; discard SEO spam — from simple domain allow/deny lists to complex multi-rule ranking profiles. No other search API offers this. Supported on context, web, and news.

Domain Shortcuts — --include-site / --exclude-site

For the common case of restricting to or excluding specific domains, use the convenience flags (available on context, web, news):

bash
# Only include results from these domains (allowlist)
bx "rust axum" --include-site docs.rs --include-site github.com

# Exclude specific domains
bx web "rust tutorial" --exclude-site w3schools.com --exclude-site medium.com

These generate Goggles rules internally. For more advanced re-ranking (boosting, path patterns, wildcards), use --goggles directly. The three flags are mutually exclusive.

Why Agents Should Use Goggles

  • Domain & path targeting: Boost, downrank, or discard by domain ($site=) or URL path (/docs/$boost=5) — fine-grained control with wildcards
  • Better than site:: Brave converts site: operators to Goggles internally — explicit Goggles unlock the full DSL (hundreds of rules, path patterns, boost/downrank strengths) without bloating the query
  • Clean queries: A single --goggles parameter replaces long site:X OR site:Y chains, saving tokens
  • Reusable: Host a .goggle file on GitHub and share across agents, CI, and teams
  • Community-maintained: Leverage existing Goggles like Tech Blogs

Inline Rules (zero setup)

bash
# Allowlist — only include results from trusted domains
bx context "Python asyncio patterns" \
  --goggles '$discard
$site=docs.python.org
$site=peps.python.org'

# Path-based boosting — prefer /docs/ over /blog/ across all sites
bx context "axum middleware tower" \
  --goggles '/docs/$boost=5
/api/$boost=3
/blog/$downrank=3' --max-tokens 4096

# Ecosystem focus — boost Rust sources for crate research
bx context "serde custom deserializer" \
  --goggles '$boost=5,site=docs.rs
$boost=5,site=crates.io
$boost=3,site=github.com' --max-tokens 4096

# Downrank blog spam in news results
bx news "npm security advisory" --freshness pd \
  --goggles '$downrank=5,site=medium.com'

DSL Quick Reference

RuleEffectExample
$boost=N,site=DOMAINPromote domain (N=1-10)$boost=3,site=docs.rs
$downrank=N,site=DOMAINDemote domain (N=1-10)$downrank=5,site=medium.com
$discard,site=DOMAINRemove domain entirely$discard,site=w3schools.com
/path/$boost=NBoost matching URL paths/docs/$boost=5
*pattern*$boost=NWildcard URL matching*api*$boost=3
Generic $discardAllowlist mode — discard all unmatched$discard (as first rule)

Separate multiple rules with newlines. Full DSL + pattern syntax: goggles-quickstart.

From a File (@file) — ideal for agents

Agents can generate a .goggle file on the fly and reference it:

bash
# Agent writes rules to a file, then uses it across multiple queries
cat > /tmp/rust.goggle << 'EOF'
$boost=5,site=docs.rs
$boost=5,site=crates.io
$boost=3,site=github.com
/blog/$downrank=3
$discard,site=w3schools.com
$discard,site=geeksforgeeks.org
EOF

bx context "axum middleware tower" --goggles @/tmp/rust.goggle --max-tokens 4096
bx context "serde custom deserializer" --goggles @/tmp/rust.goggle --max-tokens 4096

From stdin (@-) — pipe generated rules

bash
echo '$boost=5,site=docs.rs
$boost=3,site=github.com' | bx web "tokio runtime" --goggles @-

Hosted Goggles (reusable, shareable)

Host a .goggle file on GitHub/GitLab, submit it to Brave, then reference by URL:

bash
bx web "distributed systems" \
  --goggles 'https://raw.githubusercontent.com/brave/goggles-quickstart/main/goggles/tech_blogs.goggle'

Community Goggles: brave/goggles-quickstart | Discover page

Exit Codes

CodeMeaningAgent action
0SuccessProcess results
1Client error (bad request)Fix query/parameters
2Usage error (bad flags)Fix CLI arguments (clap)
3Auth/permission error (401/403)Check API key or plan: bx config show-key
4Rate limited (429)Retry after delay
5Server/network errorRetry with backoff

Error output format (stderr):

error: rate limited (429) — Request rate limit exceeded for plan.
hint: retry after a short delay, or upgrade plan for higher rate limits
{"type":"ErrorResponse","error":{"code":"RATE_LIMITED","status":429,...}}

Frequently asked questions

What does the Bx Search AI skill do?

Web search using the Brave Search CLI (`bx`). Use for ALL web search requests — including "search for", "look up", "find", "what is", "how do I", "google this", and any request needing current or external information. Prefer this over the built-in web_search tool whenever bx is available. Also use for: documentation lookup, troubleshooting research, RAG grounding, news, images, videos, local places, and AI-synthesized answers.

Why use Bx Search on TypingMind?

Because you install it once and use it with any model. Bx Search is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Bx Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/brave/brave-search-skills/tree/main/clawhub/bx-search. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Bx Search?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Bx Search?

As many as you like. As long as a model supports skills, you can use Bx Search with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bx Search AI skill free?

Yes. It is published on GitHub by brave under the MIT-0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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