---
name: brave-search-d6aa654fcdc1
description: Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content. Lightweight, no browser required.
---

# Brave Search

Headless web search and content extraction using Brave Search API. No browser or setup required.

## Requirements

- [uv](https://docs.astral.sh/uv/) (dependencies managed automatically via inline metadata)
- `BRAVE_API_KEY` environment variable

## Search

```bash
{baseDir}/search.py "query"                    # Basic search (5 results)
{baseDir}/search.py "query" -n 10              # More results
{baseDir}/search.py "query" --content          # Include page content as markdown
{baseDir}/search.py "query" -n 3 --content     # Combined
```

## Extract Page Content

```bash
{baseDir}/content.py https://example.com/article
```

Fetches a URL and extracts readable content as markdown.

## Output Format

```
--- Result 1 ---
Title: Page Title
Link: https://example.com/page
Snippet: Description from search results
Content: (if --content flag used)
  Markdown content extracted from the page...

--- Result 2 ---
...
```

## Special URL Handling (CRITICAL)

**DO NOT use Brave Search for these URLs. Use the correct tool instead:**

- **GitHub URLs**: **ALWAYS** use the `gh` CLI instead (e.g., `gh api`, `gh repo view`, `gh issue view`, etc.)
- **`.md` file URLs**: **ALWAYS** use `curl` to fetch the raw file content directly (e.g., `curl -sL https://example.com/docs/guide.md`)

## When to Use

- Searching for documentation or API references
- Looking up facts or current information
- Fetching content from specific URLs (except GitHub URLs or `.md` files — see above)
- Any task requiring web search without interactive browsing


---
Source attribution: Dicklesworthstone
Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/agents-mikeastock/skills/brave-search/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License (with OpenAI/Anthropic Rider)

Copyright (c) 2026 Jeffrey Emanuel

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

ADDITIONAL RIDER / RESTRICTION (OpenAI / Anthropic):

This rider is part of the "conditions" of this License. In the event of any
conflict between this rider and any other portion of this License, this rider
controls.

"Restricted Parties" means OpenAI, L.L.C.; Anthropic, PBC; any of their
respective Affiliates; and any person or entity acting directly or indirectly
on behalf of, for the benefit of, or under the direction of any of the
foregoing (including any officer, director, employee, contractor, agent,
consultant, service provider, or representative).

Notwithstanding any other provision of this License, no rights are granted to
any Restricted Party. Any purported license, sublicense, assignment, transfer,
or other permission to any Restricted Party is null and void absent the
express prior written permission of Jeffrey Emanuel.

You may not provide, disclose, distribute, sublicense, sell, lease, lend,
host, make available, or otherwise permit access to the Software or any
derivative work of the Software (as defined in applicable copyright law)
(collectively, "Derivative Works") to or for any Restricted Party.

For purposes of this rider, "use" includes, without limitation: copying,
modifying, merging, publishing, distributing, sublicensing, selling,
transferring, making available, hosting, deploying, executing, benchmarking,
testing, analyzing, indexing, or incorporating the Software or any Derivative
Works into any dataset, training corpus, evaluation harness, or pipeline for
machine learning or other automated systems.

This rider applies to the Software and all Derivative Works. As a condition of
use, you agree that this rider is a precondition to exercising any rights
under this License, and you agree that any distribution of the Software or any
Derivative Works must include this rider provision unmodified.

Any breach of this rider automatically and immediately terminates the
permissions granted by this License. Upon termination, you must immediately
cease all use and distribution of the Software and any Derivative Works and
destroy all copies under your control.

You agree that a breach of this rider would cause irreparable harm and that
Jeffrey Emanuel may seek injunctive or other equitable relief to enforce this
rider, in addition to any other remedies available at law. To the maximum
extent permitted by applicable law, the prevailing party in any action to
enforce this rider shall be entitled to recover reasonable attorneys' fees and
costs.

For purposes of this rider, "Affiliate" means any entity that directly or
indirectly controls, is controlled by, or is under common control with the
specified party. "Control" means ownership of more than 50% of the voting
securities or other ownership interest, or the power to direct management or
policies by contract or otherwise.

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: Dicklesworthstone
Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/agents-mikeastock/skills/brave-search/SKILL.md
Attribution basis: Source repository record

Fields of work: Education & Research, Marketing
Roles: Content Marketer, Marketing Analyst, Researcher
Specialties: API
Tools: Brave Search Api
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 0296fca2d9c06f5bdabc66e752569cd7a2d739eb26f3e5e34a208ed656d23a0a
