Agent skill

Wikidata API Guide

by wentorai in wentorai/research-plugins

Query Wikidata SPARQL for scholarly metadata, authors, and entities

Install Wikidata API Guide

skills CLI

$ npx skills add wentorai/research-plugins --skill wikidata-api-guide -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install wentorai/research-plugins wikidata-api-guide --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/literature/metadata/wikidata-api-guide .claude/skills/wikidata-api-guide && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "wikidata-api-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/metadata/wikidata-api-guide into .claude/skills/wikidata-api-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wikidata-api-guide", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/wentorai/research-plugins/tree/main/skills/literature/metadata/wikidata-api-guide

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add wentorai/research-plugins --skill wikidata-api-guide -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install wentorai/research-plugins wikidata-api-guide --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/literature/metadata/wikidata-api-guide .agents/skills/wikidata-api-guide && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "wikidata-api-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/metadata/wikidata-api-guide into .agents/skills/wikidata-api-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wikidata-api-guide", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add wentorai/research-plugins --skill wikidata-api-guide -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install wentorai/research-plugins wikidata-api-guide --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/literature/metadata/wikidata-api-guide .cursor/skills/wikidata-api-guide && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "wikidata-api-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/metadata/wikidata-api-guide into .cursor/skills/wikidata-api-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wikidata-api-guide", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/wentorai/research-plugins.git --path skills/literature/metadata/wikidata-api-guide

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add wentorai/research-plugins --skill wikidata-api-guide -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install wentorai/research-plugins wikidata-api-guide --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/literature/metadata/wikidata-api-guide .gemini/skills/wikidata-api-guide && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "wikidata-api-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/metadata/wikidata-api-guide into .gemini/skills/wikidata-api-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wikidata-api-guide", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install wentorai/research-plugins wikidata-api-guide

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add wentorai/research-plugins --skill wikidata-api-guide -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/literature/metadata/wikidata-api-guide .github/skills/wikidata-api-guide && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "wikidata-api-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/metadata/wikidata-api-guide into .github/skills/wikidata-api-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wikidata-api-guide", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add wentorai/research-plugins --skill wikidata-api-guide -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install wentorai/research-plugins wikidata-api-guide --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/literature/metadata/wikidata-api-guide .opencode/skills/wikidata-api-guide && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "wikidata-api-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/metadata/wikidata-api-guide into .opencode/skills/wikidata-api-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wikidata-api-guide", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: wikidata-api-guide
GitHub stars: 298
Used in: 1 other repo
Token cost: ~1.6k tokens
SKILL.md length: 399 words
Files: 1
Skills in repo: 428
Repo updated: Jun 19, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Query Wikidata SPARQL for scholarly metadata, authors, and entities

Tasks that involve Academic paper search
SKILL.md covers Overview, Authentication, Core Endpoints and Common Research Patterns, plus 2 more sections
Calls curl; reaches query.wikidata.org

What it does

Wikidata API Guide is an agent skill from wentorai/research-plugins. Query Wikidata SPARQL for scholarly metadata, authors, and entities

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Academic paper search. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.

When your agent uses it

Tasks that involve Academic paper search

Example prompts

“/wikidata-api-guide”

Requirements

Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit bf44b3c. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- curl
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- query.wikidata.org
Also links to:
- wikidata.org
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Wikidata API Guide loads about 1.6k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 399 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~22
When it runs · the whole SKILL.md, loaded when a task matches: ~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 399 words, ~1,594 tokens.

Download SKILL.mdSave it as .claude/skills/wikidata-api-guide/SKILL.md (or your agent's skills folder).

name: wikidata-api-guide
description: Query Wikidata SPARQL for scholarly metadata, authors, and entities

Wikidata SPARQL API Guide

Overview

Wikidata is a free, collaborative, multilingual knowledge base maintained by the Wikimedia Foundation. It contains structured data about millions of entities including scholarly articles, academic journals, researchers, universities, and scientific concepts. Each entity has a unique QID and properties linking it to other entities, forming a rich knowledge graph.

For academic researchers, Wikidata serves as a powerful tool for bibliometric analysis, disambiguation of author names, mapping institutional relationships, and linking scholarly outputs across different identifier systems (DOI, ORCID, PubMed ID, arXiv ID, etc.). The SPARQL query service provides a flexible, standards-based interface for complex graph queries.

The Wikidata Query Service is entirely free, requires no authentication, and supports the full SPARQL 1.1 query language. It is especially powerful for cross-referencing scholarly metadata that spans multiple databases and identifier systems.

Authentication

No authentication is required. The Wikidata SPARQL endpoint is free and open.

bash

# No API key needed -- set a descriptive User-Agent header as courtesy
curl -G "https://query.wikidata.org/sparql" \
  --data-urlencode "query=SELECT ?item WHERE { ?item wdt:P31 wd:Q5 } LIMIT 5" \
  -H "Accept: application/json" \
  -H "User-Agent: ResearchClaw/1.0 (academic research tool)"

Core Endpoints

SPARQL Query Endpoint

GET https://query.wikidata.org/sparql?query={SPARQL}&format=json

Parameters:

query (required): URL-encoded SPARQL query
format: Response format (json, xml, csv, tsv)

Query: Find Papers by a Researcher (via ORCID)

bash

curl -G "https://query.wikidata.org/sparql" \
  --data-urlencode 'query=
    SELECT ?paper ?paperLabel ?doi WHERE {
      ?author wdt:P496 "0000-0002-1825-0097" .
      ?paper wdt:P50 ?author ;
             wdt:P356 ?doi .
      SERVICE wikibase:label { bd:serviceParam wikibase:language "en" . }
    } LIMIT 20' \
  -H "Accept: application/json" \
  -H "User-Agent: ResearchClaw/1.0"

Query: Journal Impact and Article Counts

sparql

SELECT ?journal ?journalLabel ?issn (COUNT(?article) AS ?articleCount) WHERE {
  ?journal wdt:P31 wd:Q5633421 ;
           wdt:P236 ?issn .
  ?article wdt:P1433 ?journal .
  SERVICE wikibase:label { bd:serviceParam wikibase:language "en" . }
}
GROUP BY ?journal ?journalLabel ?issn
ORDER BY DESC(?articleCount)
LIMIT 20

Python Example: Cross-Reference Author Identifiers

python

import requests

SPARQL_URL = "https://query.wikidata.org/sparql"
HEADERS = {
    "Accept": "application/json",
    "User-Agent": "ResearchClaw/1.0 (academic research tool)"
}

def query_wikidata(sparql_query):
    """Execute a SPARQL query against Wikidata."""
    resp = requests.get(
        SPARQL_URL,
        params={"query": sparql_query},
        headers=HEADERS
    )
    resp.raise_for_status()
    data = resp.json()
    return data["results"]["bindings"]

# Find all identifier mappings for a researcher
sparql = """
SELECT ?person ?personLabel ?orcid ?scopus ?dblp ?gscholar WHERE {
  ?person wdt:P496 "0000-0002-1825-0097" .
  OPTIONAL { ?person wdt:P496 ?orcid . }
  OPTIONAL { ?person wdt:P1153 ?scopus . }
  OPTIONAL { ?person wdt:P2456 ?dblp . }
  OPTIONAL { ?person wdt:P1960 ?gscholar . }
  SERVICE wikibase:label { bd:serviceParam wikibase:language "en" . }
}
"""
results = query_wikidata(sparql)
for r in results:
    print(f"Name: {r.get('personLabel', {}).get('value', 'N/A')}")
    print(f"  ORCID: {r.get('orcid', {}).get('value', 'N/A')}")
    print(f"  Scopus: {r.get('scopus', {}).get('value', 'N/A')}")
    print(f"  DBLP: {r.get('dblp', {}).get('value', 'N/A')}")
    print(f"  Google Scholar: {r.get('gscholar', {}).get('value', 'N/A')}")

Query: Institutions by Country with Coordinates

sparql

SELECT ?uni ?uniLabel ?country ?countryLabel ?coord WHERE {
  ?uni wdt:P31 wd:Q3918 ;
       wdt:P17 ?country ;
       wdt:P625 ?coord .
  FILTER(?country = wd:Q30)
  SERVICE wikibase:label { bd:serviceParam wikibase:language "en" . }
}
LIMIT 50

Common Research Patterns

Author Disambiguation: Use Wikidata to resolve author names by cross-referencing ORCID, Scopus ID, DBLP, and Google Scholar identifiers. This is particularly useful when a common name maps to multiple researchers.

Bibliometric Graph Construction: Build citation and co-authorship networks by querying the relationships between authors, papers, journals, and institutions in the Wikidata graph.

Identifier Translation: Convert between DOI, PubMed ID, arXiv ID, and other identifiers using Wikidata's comprehensive property mappings. This enables linking records across heterogeneous databases.

Institutional Analysis: Map university affiliations, geographic distributions, and organizational hierarchies for researchers in a specific field.

Show full SKILL.md (114 more words)Show less

Rate Limits and Best Practices

Query timeout: 60 seconds; optimize complex queries with filters and limits
Request rate: No strict published limit, but keep requests under 1 per second for sustained usage
User-Agent required: Always include a descriptive User-Agent header identifying your application
LIMIT clause: Always include a LIMIT clause to prevent accidentally fetching millions of results
Label service: Use SERVICE wikibase:label for human-readable labels instead of QIDs
Caching: Wikidata results are fairly stable; cache results for repeated queries
Bulk queries: For large-scale data extraction, consider using Wikidata dumps instead of the query service

References

Wikidata SPARQL Query Service: https://query.wikidata.org/
Wikidata SPARQL Tutorial: https://www.wikidata.org/wiki/Wikidata:SPARQL_tutorial
Wikidata Properties for Scholarly Articles: https://www.wikidata.org/wiki/Wikidata:WikiProject_Source_MetaData
Wikidata REST API: https://www.wikidata.org/wiki/Wikidata:REST_API

Files

Just SKILL.md in skills/literature/metadata/wikidata-api-guide of wentorai/research-plugins.

Open the folder on GitHubat commit bf44b3c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.

brycewang-stanford/Auto-Empirical-Research-Skillsskills/43-wentorai-research-plugins/skills/literature/metadata/wikidata-api-guide

Compare with similar skills

Wikidata API Guide next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Wikidata API Guide compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Wikidata API Guide this skillwentorai/research-plugins	298	1 repos	~1.6k	Automated safety check: Pass	MIT	3 mo ago
Read arXiv Paperkarpathy/nanochat	58k	2 repos	~494	Automated safety check: Pass	MIT	29 days ago
Perplexity Web Searchdavila7/claude-code-templates	32k	12 repos	~3.5k	Automated safety check: Notes	MIT	today
Literature Reviewneflibata-feng/MyArxiv-Agent	126	21 repos	~5.9k	Automated safety check: Notes	MIT	3 days ago
Openalex Databaseneflibata-feng/MyArxiv-Agent	126	13 repos	~3k	Automated safety check: Pass	Custom licence	3 days ago
Preprint Search on bioRxivLigphiDonk/Oh-my--paper	738	13 repos	~3.7k	Automated safety check: Pass	MIT	5 mo ago

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Questions about Wikidata API Guide

What does Wikidata API Guide do?

Query Wikidata SPARQL for scholarly metadata, authors, and entities. Wikidata API Guide is an agent skill from wentorai/research-plugins.

When should I use Wikidata API Guide?

Wikidata API Guide fits situations like: tasks that involve Academic paper search.

How do I install Wikidata API Guide in Claude Code?

Run `npx skills add wentorai/research-plugins --skill wikidata-api-guide -a claude-code`. Or copy the skill folder (skills/literature/metadata/wikidata-api-guide in wentorai/research-plugins) into .claude/skills/wikidata-api-guide in your project. Claude Code loads it when a task matches its description.

How do I install Wikidata API Guide in Codex?

Run `npx skills add wentorai/research-plugins --skill wikidata-api-guide -a codex`. Or copy the skill folder (skills/literature/metadata/wikidata-api-guide in wentorai/research-plugins) into .agents/skills/wikidata-api-guide in your project. Codex loads it when a task matches its description.

Can I use Wikidata API Guide in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wentorai/research-plugins --skill wikidata-api-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wikidata-api-guide, .gemini/skills/wikidata-api-guide, .github/skills/wikidata-api-guide and .opencode/skills/wikidata-api-guide in your project.

What does Wikidata API Guide need to run?

Going by SKILL.md and its folder, Wikidata API Guide needs the command-line tools its instructions call (curl). Our summary lists: Python 3.

Does Wikidata API Guide access the network?

SKILL.md names 2 domains. In commands or code: query.wikidata.org; the agent is likely to contact it when it follows the instructions. As links in the text: wikidata.org. This is read from the text; nothing was executed.

Is Wikidata API Guide safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Wikidata API Guide use?

Wikidata API Guide is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Wikidata API Guide use?

About 1.6k tokens (SKILL.md is roughly 6.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Wikidata API Guide?

Skills that share tags, products or a category with Wikidata API Guide: Read arXiv Paper (karpathy/nanochat, 58k stars), Perplexity Web Search (davila7/claude-code-templates, 32k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars) and Openalex Database (neflibata-feng/MyArxiv-Agent, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wikidata API Guide?

wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 428 skills in this directory. The repository was last updated on June 19, 2026.

Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Wikidata API Guide

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Wikidata SPARQL API Guide

Overview

Authentication

Core Endpoints

SPARQL Query Endpoint

Query: Find Papers by a Researcher (via ORCID)

Query: Journal Impact and Article Counts

Python Example: Cross-Reference Author Identifiers

Query: Institutions by Country with Coordinates

Common Research Patterns

Rate Limits and Best Practices

References

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from wentorai/research-plugins

Related

Questions about Wikidata API Guide