Sample Strands Agent with Amazon Bedrock AgentCore is an end-to-end reference architecture for building multi-agent chatbots on AWS. Teams use it to explore agent orchestration, tool execution, memory, browser automation, and agent-to-agent collaboration with Strands Agents and Bedrock AgentCore.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/aws-samples/sample-strands-agent-with-agentcore/google-web-searchnpx skills add aws-samples/sample-strands-agent-with-agentcore --skill google-web-searchgit clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcoreWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/google-web-search)<a href="https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/google-web-search"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/google-web-search.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00011 | $0.00298 |
| Opus 5 | $0.00005 | $0.00149 |
| Sonnet 5 | $0.00002 | $0.00060 |
| Haiku 4.5 | $0.00001 | $0.00030 |
Grade A, and why
google-web-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Google Web Search
Available Tools
- google_web_search(query, include_images?): Search the web using Google Custom Search. Returns results with titles, snippets, links, and optional image results.
query(string, required): Search queryinclude_images(boolean, optional, default: true): Include image results alongside web results
Usage Guidelines
- Formulate clear, specific search queries for best results.
- Use quotes for exact phrase matching (e.g.,
"machine learning" best practices 2025). - For comprehensive research, perform multiple targeted searches rather than one broad query.
- Image results are included by default. Set
include_images=falsefor text-only searches.
Citation Format
When presenting information from search results, wrap every specific claim 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.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 36 lines · 11 tokens per session scan A 47a905f91f2a
google-web-search is a skill published in the GitHub repository aws-samples/sample-strands-agent-with-agentcore (192 stars, last pushed 2d ago), licensed MIT. It adds 11 tokens to every session and 298 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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Echo Skill Sample
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mk:agent-browser
Browser automation CLI for AI agents using agent-browser. Use for navigating websites, clicking/filling pages, screenshots, data extraction, web app testing, exploratory QA, dogfooding, Electron apps, Slack automation, Vercel Sandbox browser runs, AWS AgentCore cloud browsers, auth-heavy flows, and long autonomous…
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Evaluates AWS Health event impact on application workloads using topology knowledge. Determines blast radius, affected teams, and notification routing. Use this skill when investigating incidents triggered by AWS Health events including scheduled maintenance, operational issues, and service degradation notifications.