Agent skill · Backend & API

wikipedia-search

Search and fetch structured content from Wikipedia using the MediaWiki API for reliable, encyclopedic information

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill wikipedia-search --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 14 KB
Bundled scripts: yes
Path: skills/openclaw/wikipedia-search/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Wikipedia Search Skill This skill enables Claude to search and fetch content from Wikipedia using the MediaWiki API. It provides more reliable, structured access to Wikipedia than general web search, with support for summaries, full article content, and multi-language access. ## When to Use Use this skill when you need: - **Encyclopedic knowledge** — Factual information about people, places, events, concepts - **Historical information** — Well-documented historical facts, dates, and events - **Scientific and technical concepts** — Definitions, explanations, and overviews - **Biographical information** — Details about notable people - **Geographic information** — Countries, cities, landmarks, and their details - **Quick fact verification** — Cross-checking encyclopedic facts - **Structured content** — Need article sections, categories, and links - **Multi-language content** — Access Wikipedia in languages other than English ## When NOT to Use Avoid using this skill for: - **Current events or breaking news** — Wikipedia may not be up-to-date for very recent events (use web-search instead) - **Controversial or disputed topics** — Wikipedia can have bias or edit wars; use multiple so

What's inside
Steps it walks through
  1. When to Use
  2. When NOT to Use
  3. Usage
  4. Options
  5. Common Language Codes
  6. Examples
  7. 1. Search for Page Titles
  8. 2. Get a Summary
  9. 3. Get Full Article Content
  10. 4. Search in Different Languages
  11. Workflow
  12. For Unknown Topics (Search First)
  13. For Known Topics (Direct Fetch)
  14. JSON Output Structure
Ships with 2 files
  • scripts/wiki.py
  • setup.sh
Commands it runs
python ~/.openclaw/skills/wikipedia-search/scripts/wiki.py "your query" [options]
python ~/.openclaw/skills/wikipedia-search/scripts/wiki.py "quantum computing" --mode search
python ~/.openclaw/skills/wikipedia-search/scripts/wiki.py "Python (programming language)" --mode summary
python ~/.openclaw/skills/wikipedia-search/scripts/wiki.py "Albert Einstein" --mode summary --sentences 3
python ~/.openclaw/skills/wikipedia-search/scripts/wiki.py "Machine learning" --mode full
python ~/.openclaw/skills/wikipedia-search/scripts/wiki.py "Paris" --mode summary --lang fr
python ~/.openclaw/skills/wikipedia-search/scripts/wiki.py "東京" --mode summary --lang ja
chmod +x ~/.openclaw/skills/wikipedia-search/scripts/wiki.py
python3 -m pip install Wikipedia-API --user
Start with search
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About this skill
What does the wikipedia-search skill do?

Search and fetch structured content from Wikipedia using the MediaWiki API for reliable, encyclopedic information

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill wikipedia-search --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going