wikipedia-search

wikipedia-search is a skill for Claude Code, Codex from aws-samples/sample-strands-agent-with-agentcore. It costs 9 tokens per session (343 once invoked), scanned A, original, MIT.

A tool for searching English Wikipedia and retrieving articles by their exact titles. Wikipedia is a collaboratively written online encyclopedia useful for background information and historical context.

In plain words
What is it for?
Use it for quick factual lookups, definitions, background research, and historical context by searching first and then opening the matching article.
Why use it?
It helps find the correct article before retrieving its contents and supports either a short summary or the full article text.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit Use it for quick factual lookups, definitions, background research, and historical context by searching first and then opening the matching article.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aws-samples/sample-strands-agent-with-agentcore/wikipedia-search
About the project

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.

aws-samples/sample-strands-agent-with-agentcore · 192 stars · on GitHub

Install

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.

Any agent
npx skills add aws-samples/sample-strands-agent-with-agentcore --skill wikipedia-search
Clone the repo
git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for wikipedia-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/wikipedia-search.svg)](https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/wikipedia-search)
Your own site
<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="Measured on agentmods" height="20"></a>
Per session 9 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 343 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00009 $0.00343
Opus 5 $0.00005 $0.00171
Sonnet 5 $0.00002 $0.00069
Haiku 4.5 $0.00001 $0.00034

Measured 8d ago against content hash 844d10a930ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

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 8d 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.

chatbot-app/agentcore/skills/wikipedia-search/SKILL.md · 39 lines

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_search first to find the correct article title, then wikipedia_get_article for full content.
  • Article titles are case-sensitive — use the exact title from search results.
  • Use summary_only=true for 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 source attribute should include the article title (e.g., "Wikipedia: Quantum Computing").
  • The url attribute 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.
Changes

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.

  1. 8d ago First seen · 39 lines · 9 tokens per session scan A 844d10a930ad

Subscribe to this mod's changes

wikipedia-search is a skill published in the GitHub repository aws-samples/sample-strands-agent-with-agentcore (192 stars, last pushed 4d ago), licensed MIT. It adds 9 tokens to every session and 343 once invoked, about $0.0000 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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