Brave Search
badlogic/pi-skills
Web search and content extraction via Brave Search API. An agent skill from badlogic/pi-skills.
Search the web and fetch content from URLs for current information, news, and research topics.
Install Web Search
$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill web-search -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore web-search --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .claude/skills && cp -r skills-src/chatbot-app/agentcore/skills/web-search .claude/skills/web-search && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "web-search" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/web-search into .claude/skills/web-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/web-searchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill web-search -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore web-search --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .agents/skills && cp -r skills-src/chatbot-app/agentcore/skills/web-search .agents/skills/web-search && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "web-search" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/web-search into .agents/skills/web-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill web-search -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore web-search --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/chatbot-app/agentcore/skills/web-search .cursor/skills/web-search && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "web-search" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/web-search into .cursor/skills/web-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aws-samples/sample-strands-agent-with-agentcore.git --path chatbot-app/agentcore/skills/web-search--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill web-search -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore web-search --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/chatbot-app/agentcore/skills/web-search .gemini/skills/web-search && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "web-search" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/web-search into .gemini/skills/web-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore web-searchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill web-search -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .github/skills && cp -r skills-src/chatbot-app/agentcore/skills/web-search .github/skills/web-search && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "web-search" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/web-search into .github/skills/web-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill web-search -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore web-search --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/chatbot-app/agentcore/skills/web-search .opencode/skills/web-search && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "web-search" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/web-search into .opencode/skills/web-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-search", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
web-search- GitHub stars
- 194
- Token cost
- ~729 tokens
- SKILL.md length
- 359 words
- Files
- 1
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- MIT
At a glance
Search the web and fetch content from URLs for current information, news, and research topics.
- Tasks that involve Web search
- SKILL.md covers Available Tools, Parameters, Usage Guidelines and Citation Format, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Web Search is an agent skill from aws-samples/sample-strands-agent-with-agentcore, published by the product's own GitHub organization. Search the web and fetch content from URLs for current information, news, and research topics.
Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Productivity & Automation, covering Web search. The repository describes itself as: Reference architecture for agentic AI chatbots with Strands Agents and Amazon Bedrock AgentCore. The licence is MIT.
When your agent uses it
- Tasks that involve Web search
Example prompts
- “/web-search”
What it can do on your machine
Read from SKILL.md and the folder at commit 6dd9d13. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Web Search loads about 729 tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 359 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from aws-samples/sample-strands-agent-with-agentcore at commit 6dd9d13, republished under its MIT licence (© aws-samples). 359 words, ~729 tokens.
Download SKILL.mdSave it as
.claude/skills/web-search/SKILL.md (or your agent's skills folder).- name
- web-search
- description
- Search the web and fetch content from URLs for current information, news, and research topics.
Web Search
Available Tools
- ddg_web_search(query, max_results=5): Search DuckDuckGo and return results with title, snippet, and link.
- fetch_url_content(url, include_html=False, max_length=50000): Fetch a URL and extract clean text content.
Parameters
ddg_web_search
| Parameter | Type | Default | Description |
|---|---|---|---|
query | str | (required) | Search query string |
max_results | int | 5 | Number of results (max 10) |
fetch_url_content
| Parameter | Type | Default | Description |
|---|---|---|---|
url | str | (required) | URL to fetch (must start with http:// or https://) |
include_html | bool | False | Include raw HTML in response |
max_length | int | 50000 | Maximum character length of extracted text |
Usage Guidelines
- Use specific, targeted search queries for best results
- Set max_results to 3-5 for focused searches, up to 10 for broad research
- Use fetch_url_content to read full page content from search result links
- Break complex research into multiple targeted queries rather than one broad query
- fetch_url_content automatically strips navigation, scripts, and boilerplate HTML
- Reduce max_length for quick summaries or when you only need the beginning of a page
Citation Format
When presenting information from search results or fetched pages, wrap the relevant sentence or phrase itself in <cite> tags:
<cite source="SOURCE_TITLE" url="URL">claim text</cite>Rules:
- Cite factual claims, statistics, quotes, and specific information from search results.
- The
sourceattribute should contain the title or name of the source. - The
urlattribute should contain the source URL when available. - Do NOT cite your own reasoning or general knowledge.
- If search results don't contain relevant information, inform the user rather than guessing.
- Use the minimum number of citations necessary to support claims. The text inside
<cite>is displayed as normal prose. Do not write a claim and then repeat it inside a citation. A short answer should remain short after citations are rendered.
Show full SKILL.md (91 more words)Show less
Prices and interactive pages
For a price comparison, verify currency, per-person versus total cost, billing cadence, and any required commitment. A price shown as "per month" may be the monthly equivalent of an annual payment. Check billing selectors, official pricing FAQs, or another first-party source before concluding whether a commitment applies. If extracted text omits interactive controls, say the billing basis is unverified; do not claim the page has no condition. Use a browser tool when the condition cannot be resolved from fetched content. Preserve these qualifications in concise follow-up answers.
© aws-samples, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in chatbot-app/agentcore/skills/web-search of aws-samples/sample-strands-agent-with-agentcore.
Open the folder on GitHubat commit 6dd9d13
Compare with similar skills
Web Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Web Search this skillaws-samples/sample-strands-agent-with-agentcore | 194 | — | ~729 | Automated safety check: Pass | MIT | |
| Brave Searchbadlogic/pi-skills | 2.6k | 6 repos | ~592 | Automated safety check: Pass | MIT | |
| Enterprise AI Scenario MapMetaInFLow/Enterprise-ai-scenario-map-skill | 632 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Web Searchjjyaoao/HelloAgents | 3.2k | 1 repos | ~5.6k | Automated safety check: Pass | MIT | |
| Ddg SearchTheSyart/claude-agent-examples | 404 | 1 repos | ~493 | Automated safety check: Pass | None | |
| Local Web SearchuluckyXH/OpenMOSS | 1.3k | — | ~392 | Automated safety check: Notes | MIT |
Similar skills
Enterprise AI Scenario Map
MetaInFLow/Enterprise-ai-scenario-map-skill
企业AI场景地图生成报告工具。通过 web-search 深度调研企业信息，按照V2.1标准模板生成结构化AI应用场景地图报告，包含企业画像、业务诊断、行业实践、AI场景全量表、实施路径等完整内容。
Web Search
jjyaoao/HelloAgents
Implement web search capabilities using the z-ai-web-dev-sdk.
Ddg Search
TheSyart/claude-agent-examples
Web search without an API key using DuckDuckGo Lite via webfetch.
Local Web Search
uluckyXH/OpenMOSS
A skill your agent uses when the user asks for web search that should run via the local-160 Responses API with websearch tool (base URL like https://proxy.example.com, model gpt-5.2-codex(xhigh)).
Web Search
EXboys/skilllite
Web search and content extraction with Tavily and Exa via inference.sh CLI.
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Related
Categories
Questions about Web Search
What does Web Search do?
Search the web and fetch content from URLs for current information, news, and research topics. Web Search is an agent skill from aws-samples/sample-strands-agent-with-agentcore, published by the product's own GitHub organization. Search the web and fetch content from URLs for current information, news, and research topics.
When should I use Web Search?
Web Search fits situations like: tasks that involve Web search.
How do I install Web Search in Claude Code?
Run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill web-search -a claude-code`. Or copy the skill folder (chatbot-app/agentcore/skills/web-search in aws-samples/sample-strands-agent-with-agentcore) into .claude/skills/web-search in your project. Claude Code loads it when a task matches its description.
How do I install Web Search in Codex?
Run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill web-search -a codex`. Or copy the skill folder (chatbot-app/agentcore/skills/web-search in aws-samples/sample-strands-agent-with-agentcore) into .agents/skills/web-search in your project. Codex loads it when a task matches its description.
Can I use Web Search in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill web-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/web-search, .gemini/skills/web-search, .github/skills/web-search and .opencode/skills/web-search in your project.
What does Web Search need to run?
SKILL.md names no scripts, command-line tools or credentials: Web Search is instructions for the agent only.
Does Web Search access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Web Search safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Web Search use?
Web Search is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Web Search use?
About 729 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Web Search?
Skills that share tags, products or a category with Web Search: Brave Search (badlogic/pi-skills, 2.6k stars), Enterprise AI Scenario Map (MetaInFLow/Enterprise-ai-scenario-map-skill, 632 stars), Web Search (jjyaoao/HelloAgents, 3.2k stars) and Ddg Search (TheSyart/claude-agent-examples, 404 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Web Search?
aws-samples (a GitHub organization, an official publisher) maintains it in aws-samples/sample-strands-agent-with-agentcore, which has 194 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 6, 2026.
Source: aws-samples/sample-strands-agent-with-agentcore on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.