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 skills add aws-samples/sample-strands-agent-with-agentcore --skill 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/web-search)<a href="https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/web-search"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/web-search/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/web-search"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/web-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00021 | $0.00620 |
| Opus 5.5 | $0.00008 | $0.00248 |
| Sonnet 5.5 | $0.00004 | $0.00124 |
| Haiku 4.5 | $0.00002 | $0.00062 |
Grade A, and why
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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.
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.
- 1mo ago Changed · +4 lines 2a33e5bdad97
- 2mo ago First seen · 50 lines · 21 tokens per session scan A 49f6da8a3d2a
web-search is a skill published in the GitHub repository aws-samples/sample-strands-agent-with-agentcore (197 stars, last pushed 5d ago), licensed MIT. It adds 21 tokens to every session and 620 once invoked, about $0.0001 per session on Opus 5.5. 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.
web-search compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| web-searchaws-samples/sample-strands-agent-with-agentcore | Skill | 197 | 5d ago | MIT | A | 21 | Claude Code, Codex |
| mk:agent-browserngocsangyem/MeowKit | Skill | 15 | 5d ago | MIT | A | 114 | Claude Code |
| draw-imageai-sns/ai-sns | Skill | 323 | 3mo ago | MIT | A | 67 | Claude Code, Codex |
| governed-postgres-agentaws-samples/sample-pellier-agentic-search-apg | Skill | 12 | yesterday | MIT | A | 54 | Claude Code, Codex |
| care-and-returnsaws-samples/sample-pellier-agentic-search-apg | Skill | 12 | yesterday | MIT | A | 29 | Claude Code, Codex |
| evidenceaws-samples/sample-pellier-agentic-search-apg | Skill | 12 | yesterday | MIT | A | 38 | Claude Code, Codex |
| giftsaws-samples/sample-pellier-agentic-search-apg | Skill | 12 | yesterday | MIT | A | 0 | Claude Code, Codex |