openalex-database

openalex-database is a skill for Claude Code, Codex from synthetic-sciences/openscience. It costs 76 tokens per session (3,052 once invoked), scanned A, original, Apache-2.0.

A connection to OpenAlex, an open catalogue of scholarly papers, authors, institutions, and citations.

In plain words
What is it for?
Finding papers, authors, institutions, open-access work, citations, and research trends for literature reviews or bibliometric analysis.
Why use it?
It avoids manually searching many academic websites when you need research literature or publication data.

Skill for Claude CodeCodex

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

Good fit Finding papers, authors, institutions, open-access work, citations, and research trends for literature reviews or bibliometric analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/synthetic-sciences/openscience/openalex-database
About the project

synthetic-sciences/openscience is an AI workbench that carries out scientific research by reading papers, forming hypotheses, writing and running code, conducting experiments, analyzing results, and preparing reports. Researchers use it for work in machine learning, biology, physics, and chemistry with remote or local models. Catalogue add-ons extend its scientific workflows through skills and instructions.

synthetic-sciences/openscience · 4,121 stars · on GitHub · openscience.sh

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 synthetic-sciences/openscience --skill openalex-database
Clone the repo
git clone --depth 1 https://github.com/synthetic-sciences/openscience

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 openalex-database

README.md
[![agentmods](https://agentmods.dev/badge/skills/synthetic-sciences/openscience/openalex-database/github.svg)](https://agentmods.dev/skills/synthetic-sciences/openscience/openalex-database)
Your own site
<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/openalex-database"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/openalex-database/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for openalex-database

Your own site · 80×15
<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/openalex-database"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/openalex-database.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,052 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00076 $0.03052
Opus 5.5 $0.00030 $0.01221
Sonnet 5.5 $0.00015 $0.00610
Haiku 4.5 $0.00008 $0.00305

Measured 1mo ago against content hash 9e0b27ad7db6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

openalex-database scanned grade A with 1 finding 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 1mo ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/openalex_client.py, scripts/query_helpers.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

citing_response = requests.get(
Origin

Copies of this mod

7 near-identical copies found in the catalogue:

backend/cli/skills/databases/openalex-database/SKILL.md · 500 lines

How it starts

The opening of the file, as written. The whole thing — 500 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenAlex Database

Overview

OpenAlex is a comprehensive open catalog of 240M+ scholarly works, authors, institutions, topics, sources, publishers, and funders. This skill provides tools and workflows for querying the OpenAlex API to search literature, analyze research output, track citations, and conduct bibliometric studies.

Quick Start

Basic Setup

Always initialize the client with an email address to access the polite pool (10x rate limit boost):

from scripts.openalex_client import OpenAlexClient

client = OpenAlexClient(email="[email protected]")

Installation Requirements

Install required package using uv:

uv pip install requests

No API key required - OpenAlex is completely open.

Core Capabilities

1. Search for Papers

Use for: Finding papers by title, abstract, or topic

# Simple search
results = client.search_works(
    search="machine learning",
    per_page=100
)

# Search with filters
results = client.search_works(
    search="CRISPR gene editing",
    filter_params={
        "publication_year": ">2020",
        "is_oa": "true"
    },
    sort="cited_by_count:desc"
)

2. Find Works by Author

Use for: Getting all publications by a specific researcher

Use the two-step pattern (entity name → ID → works):

from scripts.query_helpers import find_author_works

works = find_author_works(
    author_name="Jennifer Doudna",
    client=client,
    limit=100
)

Manual two-step approach:

# Step 1: Get author ID
author_response = client._make_request(
    '/authors',
    params={'search': 'Jennifer Doudna', 'per-page': 1}
)
author_id = author_response['results'][0]['id'].split('/')[-1]

# Step 2: Get works
works = client.search_works(
    filter_params={"authorships.author.id": author_id}
)

3. Find Works from Institution

Use for: Analyzing research output from universities or organizations

from scripts.query_helpers import find_institution_works

works = find_institution_works(
    institution_name="Stanford University",
    client=client,
    limit=200
)

Read the full file on GitHub · 500 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago Changed · +6 lines 9e0b27ad7db6
  2. 1mo ago First seen · 494 lines · 76 tokens per session scan A 68173c87e3ca

Subscribe to this mod's changes

openalex-database is a skill published in the GitHub repository synthetic-sciences/openscience (4,121 stars, last pushed 2d ago), licensed Apache-2.0. It adds 76 tokens to every session and 3,052 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.