Agent skill

Openaire API

by wentorai in wentorai/research-plugins

Search EU-funded research outputs via the OpenAIRE Graph API

MITAuto-check passedResearch & Science

Install Openaire API

skills CLI
$ npx skills add wentorai/research-plugins --skill openaire-api -a claude-code

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

GitHub CLI
$ gh skill install wentorai/research-plugins openaire-api --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/search/openaire-api .claude/skills/openaire-api && 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/

Facts

Skill name
openaire-api
GitHub stars
298
Used in
1 other repo
Token cost
~1.3k tokens
SKILL.md length
187 words
Files
1
Skills in repo
405
Repo updated
First seen
Licence
MIT

At a glance

Search EU-funded research outputs via the OpenAIRE Graph API

  • Research & Science work in your project
  • SKILL.md covers Overview, API Endpoints, Python Usage and Unique Capabilities, plus 1 more section
  • Calls curl; reaches api.openaire.eu

What it does

Openaire API is an agent skill from wentorai/research-plugins. Search EU-funded research outputs via the OpenAIRE Graph API

Its SKILL.md is about 1.3k 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. 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

  • Research & Science work in your project

Example prompts

  • “/openaire-api”

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:

    • api.openaire.eu

    Also links to:

    • develop.openaire.eu
    • graph.openaire.eu
    • explore.openaire.eu

    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

Openaire API loads about 1.3k tokens when it runs. Until then it costs about 18 tokens; SKILL.md has 187 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~18
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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). 187 words, ~1,296 tokens.

Download SKILL.mdSave it as .claude/skills/openaire-api/SKILL.md (or your agent's skills folder).
name
openaire-api
description
Search EU-funded research outputs via the OpenAIRE Graph API

OpenAIRE Graph API

Overview

OpenAIRE is the European Open Science infrastructure providing programmatic access to millions of research outputs — publications, datasets, software, and other research products — linked to EU-funded projects, organizations, and researchers. The Graph API is free, requires no authentication, and returns JSON or XML. Uniquely valuable for discovering EU/Horizon-funded research and tracing connections between research outputs, projects, and institutions.

API Endpoints

Base URL
https://api.openaire.eu
Search Publications
bash
# Search by keywords
curl "https://api.openaire.eu/search/publications?keywords=climate+change+adaptation&format=json&size=10"

# Filter by open access
curl "https://api.openaire.eu/search/publications?keywords=machine+learning&openaccessonly=true&format=json"

# Filter by date
curl "https://api.openaire.eu/search/publications?keywords=CRISPR&fromDateAccepted=2023-01-01&toDateAccepted=2026-12-31&format=json"

# Filter by EU project
curl "https://api.openaire.eu/search/publications?projectID=corda__h2020::123456&format=json"

# Search by DOI
curl "https://api.openaire.eu/search/publications?doi=10.1038/s41586-023-05881-4&format=json"
Search Datasets
bash
# Find research datasets
curl "https://api.openaire.eu/search/datasets?keywords=genomics+sequencing&format=json&size=20"

# Open access datasets only
curl "https://api.openaire.eu/search/datasets?keywords=ocean+temperature&openaccessonly=true&format=json"
Search Projects
bash
# Search EU-funded projects
curl "https://api.openaire.eu/search/projects?keywords=artificial+intelligence&funder=EC&format=json"

# Horizon 2020 projects
curl "https://api.openaire.eu/search/projects?keywords=renewable+energy&fundingStream=H2020&format=json"

# Horizon Europe projects
curl "https://api.openaire.eu/search/projects?keywords=quantum+computing&fundingStream=HE&format=json"
Query Parameters
ParameterDescriptionExample
keywordsFree-text searchkeywords=deep+learning
doiSearch by DOIdoi=10.1234/example
openaccessonlyOpen access filteropenaccessonly=true
fromDateAcceptedStart datefromDateAccepted=2023-01-01
toDateAcceptedEnd datetoDateAccepted=2026-12-31
funderFunding agencyfunder=EC (European Commission)
fundingStreamFunding programfundingStream=H2020
formatResponse formatformat=json or format=xml
sizeResults per pagesize=50 (max 100)
pagePage numberpage=2
sortBySort ordersortBy=resultdateofacceptance,descending

Python Usage

python
import requests

BASE_URL = "https://api.openaire.eu"

def search_publications(keywords: str, open_access: bool = False,
                         from_date: str = None, size: int = 20) -> list:
    """Search OpenAIRE publications."""
    params = {
        "keywords": keywords,
        "format": "json",
        "size": size
    }
    if open_access:
        params["openaccessonly"] = "true"
    if from_date:
        params["fromDateAccepted"] = from_date

    resp = requests.get(f"{BASE_URL}/search/publications", params=params)
    resp.raise_for_status()
    data = resp.json()

    results = []
    for item in data.get("response", {}).get("results", {}).get("result", []):
        metadata = item.get("metadata", {}).get("oaf:entity", {}).get("oaf:result", {})
        title = metadata.get("title", {})
        if isinstance(title, dict):
            title = title.get("$", "")
        results.append({
            "title": title,
            "doi": metadata.get("pid", [{}])[0].get("$", "") if metadata.get("pid") else None,
            "date": metadata.get("dateofacceptance", {}).get("$", ""),
            "description": metadata.get("description", {}).get("$", "")[:300] if metadata.get("description") else None
        })
    return results

# Example: find recent open access papers on climate
pubs = search_publications("climate resilience urban", open_access=True, from_date="2024-01-01")
for p in pubs:
    print(f"[{p['date']}] {p['title']}")

Unique Capabilities

  • Project-output linking: Trace which publications came from which EU grant
  • Cross-entity relationships: Publications ↔ Datasets ↔ Software ↔ Projects ↔ Organizations
  • Deduplication: OpenAIRE deduplicates records from multiple sources (Crossref, PubMed, arXiv, institutional repos)
  • Open access monitoring: Track OA compliance for funded research
  • 175M+ research products from 120,000+ data sources

References

© wentorai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/literature/search/openaire-api 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.

Compare with similar skills

Openaire API 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.

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Openaire API this skillwentorai/research-plugins2981 repos~1.3kAutomated safety check: PassMIT
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GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Peer Reviewspacering-net/codeg3.9k17 repos~5.9kAutomated safety check: NotesMIT

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Questions about Openaire API

What does Openaire API do?

Search EU-funded research outputs via the OpenAIRE Graph API. Openaire API is an agent skill from wentorai/research-plugins.

When should I use Openaire API?

Openaire API fits situations like: research & Science work in your project.

How do I install Openaire API in Claude Code?

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

How do I install Openaire API in Codex?

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

Can I use Openaire API 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 openaire-api -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openaire-api, .gemini/skills/openaire-api, .github/skills/openaire-api and .opencode/skills/openaire-api in your project.

What does Openaire API need to run?

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

Does Openaire API access the network?

SKILL.md names 4 domains. In commands or code: api.openaire.eu; the agent is likely to contact it when it follows the instructions. As links in the text: develop.openaire.eu, graph.openaire.eu and explore.openaire.eu. This is read from the text; nothing was executed.

Is Openaire API 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 Openaire API use?

Openaire API 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 Openaire API use?

About 1.3k tokens (SKILL.md is roughly 5.2k 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 Openaire API?

Skills that share tags, products or a category with Openaire API: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Openaire API?

wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 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.