Agent skill

Zenodo API

by wentorai in wentorai/research-plugins

Open research repository for all disciplines. An agent skill from wentorai/research-plugins.

Install Zenodo API

skills CLI

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

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

GitHub CLI

$ gh skill install wentorai/research-plugins zenodo-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/research/funding/zenodo-api .claude/skills/zenodo-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/

Paste into Claude Code

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

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 zenodo-api -a codex

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

GitHub CLI

$ gh skill install wentorai/research-plugins zenodo-api --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/research/funding/zenodo-api .agents/skills/zenodo-api && 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 "zenodo-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/research/funding/zenodo-api into .agents/skills/zenodo-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zenodo-api", 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 zenodo-api -a cursor

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

GitHub CLI

$ gh skill install wentorai/research-plugins zenodo-api --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/research/funding/zenodo-api .cursor/skills/zenodo-api && 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 "zenodo-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/research/funding/zenodo-api into .cursor/skills/zenodo-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zenodo-api", 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/research/funding/zenodo-api

--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 zenodo-api -a gemini-cli

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

GitHub CLI

$ gh skill install wentorai/research-plugins zenodo-api --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/research/funding/zenodo-api .gemini/skills/zenodo-api && 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 "zenodo-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/research/funding/zenodo-api into .gemini/skills/zenodo-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zenodo-api", 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 zenodo-api

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 zenodo-api -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/research/funding/zenodo-api .github/skills/zenodo-api && 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 "zenodo-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/research/funding/zenodo-api into .github/skills/zenodo-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zenodo-api", 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 zenodo-api -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 zenodo-api --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/research/funding/zenodo-api .opencode/skills/zenodo-api && 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 "zenodo-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/research/funding/zenodo-api into .opencode/skills/zenodo-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zenodo-api", 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: zenodo-api
GitHub stars: 298
Used in: 1 other repo
Token cost: ~1.9k tokens
SKILL.md length: 511 words
Files: 1
Skills in repo: 405
Repo updated: Jun 19, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Open research repository for all disciplines. An agent skill from wentorai/research-plugins.

Works in 4 steps: Create an account at https://zenodo.org/ → Navigate to Settings > Applications >… → Generate a token with appropriate scopes… → …
Backend & APIs work in your project
SKILL.md covers Overview, Authentication, Core Endpoints and Rate Limits, plus 2 more sections
Calls curl; reaches zenodo.org; needs ZENODO_API_TOKEN

What it does

Zenodo API is an agent skill from wentorai/research-plugins. Open research repository for all disciplines

Its SKILL.md is about 1.9k 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 Backend & APIs. 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

Backend & APIs work in your project

Example prompts

“/zenodo-api”

Requirements

Python 3
A credential in ZENODO_API_TOKEN
A credential in YOUR_TOKEN

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

Create an account at https://zenodo.org/
Navigate to Settings > Applications > Personal access tokens
Generate a token with appropriate scopes (deposit:write, deposit:actions)
Include the token in requests via the access_token query parameter or Authorization header

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:
- zenodo.org
Also links to:
- developers.zenodo.org
- guides.github.com
- schema.datacite.org
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- ZENODO_API_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Zenodo API loads about 1.9k tokens when it runs. Until then it costs about 14 tokens; SKILL.md has 511 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~14
When it runs · the whole SKILL.md, loaded when a task matches: ~1.9k

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). 511 words, ~1,866 tokens.

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

name: zenodo-api
description: Open research repository for all disciplines

Zenodo API Guide

Overview

Zenodo is an open-access digital repository developed by CERN and funded by the European Commission. It enables researchers to deposit datasets, software, publications, reports, and any other research-related digital artifacts. Zenodo assigns each upload a DOI, ensuring long-term citability and discoverability of research outputs across all academic disciplines.

The Zenodo API provides programmatic access to the full repository, including the ability to search records, retrieve metadata, create depositions, upload files, and manage communities. It follows FAIR data principles (Findable, Accessible, Interoperable, Reusable) and integrates with GitHub for automatic software archiving.

Researchers, data librarians, and research infrastructure teams use the Zenodo API to automate data publishing workflows, build data discovery tools, integrate archiving into CI/CD pipelines, and harvest metadata for institutional repositories. Zenodo supports versioning, access controls, and rich metadata schemas including DataCite Metadata Schema.

Authentication

Authentication is required for most write operations and for accessing restricted records. Zenodo uses personal access tokens.

Create an account at https://zenodo.org/
Navigate to Settings > Applications > Personal access tokens
Generate a token with appropriate scopes (deposit:write, deposit:actions)
Include the token in requests via the access_token query parameter or Authorization header

bash

# Query parameter method
curl "https://zenodo.org/api/records?access_token=YOUR_TOKEN"

# Header method
curl -H "Authorization: Bearer YOUR_TOKEN" "https://zenodo.org/api/records"

Read-only access to public records does not require authentication, but authenticated requests have higher rate limits.

Core Endpoints

records: Search and Retrieve Records

Search the Zenodo repository for published records including datasets, software, publications, and other artifacts.

URL: GET https://zenodo.org/api/records
Parameters:

Parameter	Type	Required	Description
q	string	No	Search query (Elasticsearch syntax)
type	string	No	Record type: `dataset`, `software`, `publication`
communities	string	No	Filter by community identifier
sort	string	No	Sort order: `bestmatch`, `mostrecent`
size	int	No	Number of results per page (default 10, max 9999)
page	int	No	Page number (default 1)

Example:

bash

curl "https://zenodo.org/api/records?q=climate+change&type=dataset&sort=mostrecent&size=5"

Response: Returns hits object containing total count and array of record objects with id, doi, metadata (title, creators, description, keywords, publication_date), files (download links), and links.

Show full SKILL.md (198 more words)Show less

depositions: Create and Manage Uploads

Create new depositions to upload research data and software to Zenodo.

URL: GET https://zenodo.org/api/deposit/depositions
Parameters:

Parameter	Type	Required	Description
access_token	string	Yes	Personal access token
q	string	No	Search within your depositions
sort	string	No	Sort order: `bestmatch`, `mostrecent`
size	int	No	Results per page

Example:

bash

# List your depositions
curl "https://zenodo.org/api/deposit/depositions?access_token=YOUR_TOKEN"

# Create a new deposition
curl -X POST "https://zenodo.org/api/deposit/depositions?access_token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"metadata": {"title": "My Dataset", "upload_type": "dataset", "description": "Sample dataset", "creators": [{"name": "Doe, Jane"}]}}'

Response: Returns deposition object with id, metadata, state, submitted, links (including bucket URL for file uploads), and files.

Rate Limits

Rate limits vary based on authentication status. Authenticated requests receive higher limits than anonymous requests. Zenodo does not publicly document exact rate limit numbers, but typical guidance is to keep requests under 60 per minute for anonymous access and 100 per minute for authenticated access. The API returns standard HTTP 429 responses when limits are exceeded, with a Retry-After header indicating when to retry.

Common Patterns

Search for Datasets by Topic

Find openly available datasets in a specific research domain:

python

import requests

params = {
    "q": "machine learning genomics",
    "type": "dataset",
    "sort": "mostrecent",
    "size": 20
}
resp = requests.get("https://zenodo.org/api/records", params=params)
data = resp.json()

for hit in data["hits"]["hits"]:
    meta = hit["metadata"]
    print(f"{meta['title']} | DOI: {hit['doi']} | Date: {meta['publication_date']}")

Archive a GitHub Repository

Zenodo integrates with GitHub to automatically archive releases. You can also deposit programmatically:

python

import requests

TOKEN = os.environ["ZENODO_API_TOKEN"]
headers = {"Authorization": f"Bearer {TOKEN}", "Content-Type": "application/json"}

# Step 1: Create empty deposition
dep = requests.post("https://zenodo.org/api/deposit/depositions",
                     headers=headers, json={}).json()

# Step 2: Upload file to the bucket
bucket_url = dep["links"]["bucket"]
with open("analysis_code.zip", "rb") as f:
    requests.put(f"{bucket_url}/analysis_code.zip",
                 headers={"Authorization": f"Bearer {TOKEN}"},
                 data=f)

# Step 3: Add metadata and publish
metadata = {
    "metadata": {
        "title": "Analysis Code for Paper XYZ",
        "upload_type": "software",
        "description": "Reproducible analysis pipeline.",
        "creators": [{"name": "Doe, Jane", "affiliation": "University X"}]
    }
}
requests.put(f"https://zenodo.org/api/deposit/depositions/{dep['id']}",
             headers=headers, json=metadata)
requests.post(f"https://zenodo.org/api/deposit/depositions/{dep['id']}/actions/publish",
              headers={"Authorization": f"Bearer {TOKEN}"})

Harvest Community Records

Retrieve all records from a specific Zenodo community for institutional tracking:

bash

curl "https://zenodo.org/api/records?communities=astronomy&size=100&sort=mostrecent"

References

Official API documentation: https://developers.zenodo.org/
Zenodo homepage: https://zenodo.org/
GitHub integration guide: https://guides.github.com/activities/citable-code/
DataCite Metadata Schema: https://schema.datacite.org/

Files

Just SKILL.md in skills/research/funding/zenodo-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.

brycewang-stanford/Auto-Empirical-Research-Skillsskills/43-wentorai-research-plugins/skills/research/funding/zenodo-api

Compare with similar skills

Zenodo 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.

Zenodo API compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Zenodo API this skillwentorai/research-plugins	298	1 repos	~1.9k	Automated safety check: Pass	MIT	3 mo ago
Configuring Horizoncoollabsio/coolify	63k	4 repos	~898	Automated safety check: Pass	MIT	yesterday
Nestjs Best Practicesrolling-scopes/rsschool-app	10k	6 repos	~1.2k	Automated safety check: Pass	MIT	4 days ago
Sub2API AdminWei-Shaw/sub2api	43k	1 repos	~717	Automated safety check: Pass	LGPL-3.0	today
Firecrawl Build Onboardingfirecrawl/firecrawl	190k	1 repos	~1.4k	Automated safety check: Notes	ISC	today
Obsidian BasesAtmosphere/atmosphere	3.8k	22 repos	~3.2k	Automated safety check: Pass	Apache-2.0	2 days ago

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Questions about Zenodo API

What does Zenodo API do?

Open research repository for all disciplines. An agent skill from wentorai/research-plugins. Zenodo API is an agent skill from wentorai/research-plugins.

When should I use Zenodo API?

Zenodo API fits situations like: backend & APIs work in your project.

How do I install Zenodo API in Claude Code?

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

How do I install Zenodo API in Codex?

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

Can I use Zenodo 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 zenodo-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/zenodo-api, .gemini/skills/zenodo-api, .github/skills/zenodo-api and .opencode/skills/zenodo-api in your project.

What does Zenodo API need to run?

Going by SKILL.md and its folder, Zenodo API needs the command-line tools its instructions call (curl) and credentials named ZENODO_API_TOKEN. Our summary lists: Python 3; A credential in ZENODO_API_TOKEN; A credential in YOUR_TOKEN.

Does Zenodo API access the network?

SKILL.md names 4 domains. In commands or code: zenodo.org; the agent is likely to contact it when it follows the instructions. As links in the text: developers.zenodo.org, guides.github.com and schema.datacite.org. This is read from the text; nothing was executed.

Is Zenodo 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 Zenodo API use?

Zenodo 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 Zenodo API use?

About 1.9k tokens (SKILL.md is roughly 7.5k 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 Zenodo API?

Skills that share tags, products or a category with Zenodo API: Configuring Horizon (coollabsio/coolify, 63k stars), Nestjs Best Practices (rolling-scopes/rsschool-app, 10k stars), Sub2API Admin (Wei-Shaw/sub2api, 43k stars) and Firecrawl Build Onboarding (firecrawl/firecrawl, 190k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Zenodo 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.

Install Zenodo API

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Zenodo API Guide

Overview

Authentication

Core Endpoints

records: Search and Retrieve Records

depositions: Create and Manage Uploads

Rate Limits

Common Patterns

Search for Datasets by Topic

Archive a GitHub Repository

Harvest Community Records

References

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from wentorai/research-plugins

Related

Questions about Zenodo API