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 wikipedia-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/wikipedia-search)<a href="https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/wikipedia-search"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/wikipedia-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/wikipedia-search"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/wikipedia-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 | $0.00009 | $0.00343 |
| Opus 5.5 | $0.00004 | $0.00137 |
| Sonnet 5.5 | $0.00002 | $0.00069 |
| Haiku 4.5 | $0.00001 | $0.00034 |
Grade A, and why
wikipedia-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 2mo 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
Wikipedia
Available Tools
-
wikipedia_search(query): Search Wikipedia for articles matching a query.
query(string, required): Search query
-
wikipedia_get_article(title, summary_only?): Get content of a Wikipedia article by exact title.
title(string, required): Article title (case-sensitive, use exact title from search results)summary_only(boolean, optional, default: false): Return only the summary instead of full text
Usage Guidelines
- Only English Wikipedia is supported. Translate non-English queries to English before searching.
- Use
wikipedia_searchfirst to find the correct article title, thenwikipedia_get_articlefor full content. - Article titles are case-sensitive — use the exact title from search results.
- Use
summary_only=truefor quick factual lookups when full article content isn't needed. - Wikipedia content is best for background information, definitions, and historical context.
Citation Format
When presenting information from Wikipedia, wrap every specific claim in <cite> tags:
<cite source="Wikipedia: ARTICLE_TITLE" url="https://en.wikipedia.org/wiki/ARTICLE_TITLE">claim text</cite>
Rules:
- Cite factual claims, statistics, dates, and specific information from articles.
- The
sourceattribute should include the article title (e.g.,"Wikipedia: Quantum Computing"). - The
urlattribute should contain the Wikipedia article URL. - Do NOT cite your own reasoning or general knowledge.
- 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.
- 2mo ago First seen · 39 lines · 9 tokens per session scan A 844d10a930ad
wikipedia-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 9 tokens to every session and 343 once invoked, about $0.0000 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.
wikipedia-search compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| wikipedia-searchaws-samples/sample-strands-agent-with-agentcore | Skill | 197 | 5d ago | MIT | A | 9 | 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 |