Zenodo ApiSAFE
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
Overview
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
e1ba289846fdOBSERVED · 2026-10-08Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| openclaw | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: zenodo-api
description: "Open research repository for all disciplines"
metadata:
openclaw:
emoji: "🔍"
category: "research"
subcategory: "funding"
keywords: ["open data", "data sharing", "data archiving", "FAIR data principles"]
source: "https://developers.zenodo.org/"
requires:
env: ["ZENODO_API_TOKEN"]
---
# 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.
1. Create an account at https://zenodo.org/
2. Navigate to **Settings** > **Applications** > **Personal access tokens**
3. Generate a token with appropriate scopes (`deposit:write`, `deposit:actions`)
4. 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`.
### 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-TTrust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
e1ba289846fdfull audit observations/trust-audit/skill/brycewang-stanford__zenodo-api.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | e1ba289846fd | SAFE | B | 89 | first audit |
Questions
What does the Zenodo Api skill do?
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
Is Zenodo Api safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Zenodo Api access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Zenodo Api work with?
Its documentation mentions openclaw. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (e1ba289846fd), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.