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Zenodo Skill

Community
Agents365-ai
zenodo-skill

Use whenever the user mentions Zenodo, depositing or publishing research artifacts (datasets, software, papers, posters) to Zenodo, minting a DOI for a dataset/code release, uploading files to a Zenodo record, creating a new version of a Zenodo deposit, or searching Zenodo records. Covers the full Zenodo REST API workflow — create deposition, upload files via the bucket API, set metadata, publish, version, and search — for both production (zenodo.org) and sandbox (sandbox.zenodo.org).

Overview

PublisherAgents365-ai
Repository365-skills
Skill namezenodo-skill
Stars
99
Forks
16
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Agents365-ai on GitHub. Read the source before you install it.

Installation

Install the Zenodo Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Agents365-ai/365-skills/tree/main/plugins/zenodo/skills/zenodo-skill
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Agents365-ai/365-skills.git /tmp/365-skills
mkdir -p .claude/skills
cp -r /tmp/365-skills/plugins/zenodo/skills/zenodo-skill .claude/skills/zenodo-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Zenodo Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Zenodo Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Zenodo Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Zenodo Skill

Interact with the Zenodo REST API to deposit, publish, version, and search research artifacts. Zenodo issues a citable DOI for every published record.

When to use

  • User wants to upload a dataset, code release, paper, poster, or other artifact to Zenodo
  • User wants a DOI for a research output
  • User wants to update an existing deposit or publish a new version
  • User wants to search Zenodo for records

Update check

Throttle to one check per 24 hours per installation; never mutate the skill directory without explicit user consent.

  1. If <this-skill-dir>/.last_update exists and is less than 24 hours old, skip this step entirely.

  2. Otherwise, fetch the latest tag from upstream:

    bash
    git -C <this-skill-dir> ls-remote --tags origin 'v*' 2>/dev/null \
      | awk '{print $2}' | sed 's|refs/tags/||' \
      | sort -V | tail -1
  3. Compare with this skill's metadata.version from the frontmatter. If the upstream tag is strictly newer (semver), tell the user one line and ask:

    "A newer version of this skill is available: vX.Y.Z → vA.B.C. Want me to git pull?"

    If they say yes, run git -C <this-skill-dir> pull --ff-only. Refresh .last_update either way so the prompt doesn't repeat for 24 hours.

  4. If upstream is the same or older, refresh .last_update silently and continue.

  5. On any failure (offline, not a git checkout — e.g. ClawHub-installed copy, read-only path, no permission), swallow the error silently and continue with the user's task. Do not mention the failure.

Setup

Two environments — pick one and stick with it during a session:

EnvBase URLToken page
Productionhttps://zenodo.org/apihttps://zenodo.org/account/settings/applications/tokens/new/
Sandbox (testing)https://sandbox.zenodo.org/apihttps://sandbox.zenodo.org/account/settings/applications/tokens/new/

Sandbox accounts/tokens are separate from production. Always test new workflows in sandbox first — published production records cannot be deleted.

Required token scopes: deposit:write and deposit:actions.

Export the token before running commands:

bash
export ZENODO_TOKEN=...        # never inline the token in commands you show the user
export ZENODO_BASE=https://sandbox.zenodo.org/api   # or https://zenodo.org/api

If ZENODO_TOKEN is unset, ask the user for it (and which environment) before proceeding.

Core workflow: deposit a new artifact

The deposit lifecycle is create → upload files → set metadata → publish. Each step is a separate API call; do them in order.

1. Create an empty deposition

bash
curl -sS -X POST "$ZENODO_BASE/deposit/depositions" \
  -H "Authorization: Bearer $ZENODO_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

The response JSON contains two things you need to remember:

  • id — the deposition id, used for metadata/publish/version actions
  • links.bucket — the bucket URL for file uploads (new files API)

Capture them, e.g. with jq:

bash
RESP=$(curl -sS -X POST "$ZENODO_BASE/deposit/depositions" \
  -H "Authorization: Bearer $ZENODO_TOKEN" -H "Content-Type: application/json" -d '{}')
DEPOSIT_ID=$(echo "$RESP" | jq -r .id)
BUCKET=$(echo "$RESP" | jq -r .links.bucket)

2. Upload files (bucket API — preferred)

The bucket API supports up to 50 GB total / 100 files per record. Use --upload-file (HTTP PUT) — not multipart form upload. The filename in the URL is what shows up on the record.

bash
curl -sS --upload-file ./data.csv \
  -H "Authorization: Bearer $ZENODO_TOKEN" \
  "$BUCKET/data.csv"

Repeat per file. For many files, loop in shell. The legacy /files multipart endpoint is capped at 100 MB/file — avoid it.

3. Set metadata

Metadata goes via PUT on the deposition. Required fields: upload_type, title, creators, description. See references/metadata.md for the full schema, allowed upload_type values, license codes, and conditional fields (e.g. publication_type, embargo_date).

Minimal example:

bash
curl -sS -X PUT "$ZENODO_BASE/deposit/depositions/$DEPOSIT_ID" \
  -H "Authorization: Bearer $ZENODO_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "metadata": {
      "title": "My dataset",
      "upload_type": "dataset",
      "description": "<p>A short description (HTML allowed).</p>",
      "creators": [{"name": "Doe, Jane", "affiliation": "Example Univ.", "orcid": "0000-0002-1825-0097"}]
    }
  }'

Read the response — Zenodo validates here and returns 400 with field-level errors if anything is missing or malformed. Fix and retry before publishing.

4. Publish

Publishing is irreversible on production (you can edit metadata later but cannot remove files or delete the record). Confirm with the user before this step unless they're on sandbox.

bash
curl -sS -X POST "$ZENODO_BASE/deposit/depositions/$DEPOSIT_ID/actions/publish" \
  -H "Authorization: Bearer $ZENODO_TOKEN"

The response contains doi and links.record_html — show both to the user.

New version of an existing record

Use this when the user has previously published and wants to release updated data/code under the same concept-DOI.

bash
# 1. Create new version draft (returns links.latest_draft)
curl -sS -X POST "$ZENODO_BASE/deposit/depositions/$DEPOSIT_ID/actions/newversion" \
  -H "Authorization: Bearer $ZENODO_TOKEN"

Then follow the bucket of the new draft (from links.latest_draft → GET it → use its links.bucket) to upload changed files, update metadata, and publish as in steps 2–4 above. The new version inherits files from the previous version by default — delete any you want to replace via DELETE $BUCKET/<filename>.

Discard a draft

bash
curl -sS -X POST "$ZENODO_BASE/deposit/depositions/$DEPOSIT_ID/actions/discard" \
  -H "Authorization: Bearer $ZENODO_TOKEN"

Search published records

No token needed for public search.

bash
curl -sS "$ZENODO_BASE/records?q=climate+model&size=10&sort=mostrecent"

Query syntax is Elasticsearch — fielded queries like creators.name:"Doe, Jane", communities:zenodo, resource_type.type:dataset all work. See references/search.md for query patterns.

Conventions and gotchas

  • Always check HTTP status. 201 = created, 202 = publish accepted, 400 = metadata error (read the body), 401 = bad token, 403 = wrong scope, 429 = rate limited.
  • Rate limits: 100 req/min, 5000 req/hour for authenticated users. Watch X-RateLimit-Remaining.
  • Never inline the token in commands you display — use $ZENODO_TOKEN. Don't write the token to files.
  • Sandbox first. Suggest sandbox for any first-time workflow; switch to production only when the user explicitly confirms.
  • Verify before publishing. GET the deposition and review files + metadata with the user before calling actions/publish on production.
  • Large uploads: for files > a few hundred MB, consider doing the curl upload with --progress-bar and warn the user about time/bandwidth.

References

  • references/metadata.md — full metadata schema, upload_type values, license codes, conditional fields
  • references/search.md — search query syntax and useful filters
  • references/examples.md — end-to-end shell scripts for common scenarios (dataset upload, software release, new version)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Zenodo Skill AI skill do?

Use whenever the user mentions Zenodo, depositing or publishing research artifacts (datasets, software, papers, posters) to Zenodo, minting a DOI for a dataset/code release, uploading files to a Zenodo record, creating a new version of a Zenodo deposit, or searching Zenodo records. Covers the full Zenodo REST API workflow — create deposition, upload files via the bucket API, set metadata, publish, version, and search — for both production (zenodo.org) and sandbox (sandbox.zenodo.org).

Why use Zenodo Skill on TypingMind?

Because you install it once and use it with any model. Zenodo Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Zenodo Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Agents365-ai/365-skills/tree/main/plugins/zenodo/skills/zenodo-skill. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Zenodo Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Zenodo Skill?

As many as you like. As long as a model supports skills, you can use Zenodo Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Zenodo Skill AI skill free?

Yes. It is published on GitHub by Agents365-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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