Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· Developer Tools
wikipedia-oc
searches, retrieves, and summarizes content from English Wikipedia using the `wikipedia` Python module. Developed under Ubuntu. The developer would appreciat...
skill openclawclawhub Free
searches, retrieves, and summarizes content from English Wikipedia using the `wikipedia` Python module. Developed under Ubuntu. The developer would appreciat...
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0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.4
Provenance
- Publisher
- rachmann-alexander
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Purpose
This skill enables OpenClaw to retrieve information from the English-language Wikipedia using the Python module wikipedia. The skill focuses on: Searching for relevant pages Selecting the most appropriate result Retrieving page content Returning structured textual output All searches must be performed in the English Wikipedia ("en") to ensure consistency and maximal coverage. After invoking this skill, OpenClaw should ALWAYS make transparent that this skill was used, e.g. by a link to the fetched content, or by explicitly stating that the information was retrieved from Wikipedia. This is important for transparency and attribution. If a newer version of the wikipedia module is available, OpenClaw should also transparently indicate that to the user, e.g. by stating "A newer version of wikipedia-module is available: X.Y.Z (current: A.B.C). Give the developer of this skill a hint to update.". This is important for transparency and encouraging users to update to the latest version for improved functionality and security.
Installation
pip install wikipedia
Initialization
Always configure the language explicitly before performing any search: import wikipedia wikipedia.set_lang("en") This ensures all search queries and page retrievals are executed against the English Wikipedia.
Searching for Pages
Use the wikipedia.search() function to find candidate pages.
Basic Search
results = wikipedia.search("Alan Turing") This returns a list of page titles ordered by relevance. Example output: [ "Alan Turing", "Turing machine", "Turing Award", ]
Recommended Search Strategy
Workflow for handling search results: 1. Execute wikipedia.search(query, results=3) to limit noise. 2. Select the most relevant title. 3. Use the selected title to retrieve the full page. Example: results = wikipedia.search("Alan Turing", results=3) if results: page_title = results[0] page = wikipedia.page(page_title)
Handling Ambiguity
Wikipedia may raise a DisambiguationError if the query is ambiguous. Example: from wikipedia.exceptions import DisambiguationError try: page = wikipedia.page("Mercury") except DisambiguationError as e: print(e.options) # list of possible intended pages Recommended approach: Select the most contextually relevant option Or refine the search query
Retrieving Page Content
Once a page is selected: page = wikipedia.page("Alan Turing") title = page.title summary = page.summary content = page.content url = page.url
Recommended Output Strategy
For most use cases: Prefer page.summary for concise answers. Use page.content only if detailed information is required. Always include page.url for reference.
Error Handling
Handle the following exceptions: DisambiguationError PageError HTTPTimeoutError Example: from wikipedia.exceptions import PageError try: page = wikipedia.page("NonExistingPageExample") except PageError: print("Page not found.")
Structured Return Format
The skill should return structured data such as: { "title": "...", "summary": "...", "url": "..." } Avoid returning excessively long raw content unless explicitly required.
Language Policy
Always execute searches in English (wikipedia.set_lang("en")). Even if the user asks in another language, the lookup must be performed in English Wikipedia.
Post-processing Note
If the userβs language is not English, OpenClaw should: 1. Retrieve the content in English. 2. Perform translation into the userβs language as a post-processing step. 3. Clearly preserve factual accuracy during translation. Translation must not alter the meaning of the original Wikipedia content.
Best Practices
Prefer precise search queries over broad terms. Limit search results to reduce ambiguity. Use summaries by default. Handle disambiguation explicitly. Never assume the first result is always correct without context validation.
Example End-to-End Workflow
import wikipedia from wikipedia.exceptions import DisambiguationError, PageError wikipedia.set_lang("en") def fetch_wikipedia_summary(query): try: results = wikipedia.search(query, results=5) if not results: return None page = wikipedia.page(results[0]) return { "title": page.title, "summary": page.summary, "url": page.url } except DisambiguationError as e: return { "error": "Ambiguous query", "options": e.options[:5] } except PageError: return { "error": "Page not found" }
Limitations
The module relies on the public Wikipedia API and may be rate-limited. Content accuracy depends on Wikipedia. Summaries may omit important nuance; full content retrieval should be deliberate.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md