Atlas / Skills / brycewang-stanford / Share Research Api

Share Research ApiSAFE

skills/brycewang-stanford/share-research-api

🔬 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.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
1 documented
License
NOASSERTION
Stars
4,537
01

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.

Read from source at commit e1ba289846fdOBSERVED · 2026-10-08
02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
openclawmentioned
03

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: share-research-api
description: "Discover open access research outputs via the SHARE notification API"
metadata:
  openclaw:
    emoji: "📢"
    category: "literature"
    subcategory: "search"
    keywords: ["SHARE", "open access", "research notification", "COS", "repository aggregator", "preprints"]
    source: "https://share.osf.io/"
---

# SHARE Research API

## Overview

SHARE (SHared Access Research Ecosystem) aggregates metadata from 200+ research repositories, preprint servers, and publishers into a unified search API. Operated by the Center for Open Science, it tracks research outputs as they move through the scholarly communication cycle — from preprint to publication. Free, no authentication for search.

## API Endpoints

### Base URL

```
https://share.osf.io/api/v2
```

### Search

```bash
# Text search across all sources
curl "https://share.osf.io/api/v2/search/creativeworks/?q=climate+change&page[size]=20"

# Filter by type
curl "https://share.osf.io/api/v2/search/creativeworks/?q=neural+networks&filter[type]=preprint"

# Filter by source
curl "https://share.osf.io/api/v2/search/creativeworks/?q=genomics&filter[sources]=PubMed+Central"

# Filter by date
curl "https://share.osf.io/api/v2/search/creativeworks/?q=COVID-19&filter[date][gte]=2024-01-01"

# Filter by tag/subject
curl "https://share.osf.io/api/v2/search/creativeworks/?q=machine+learning&filter[tags]=deep+learning"
```

### Query Parameters

| Parameter | Description | Example |
|-----------|-------------|---------|
| `q` | Search query | `q=CRISPR` |
| `filter[type]` | Output type | `preprint`, `article`, `dataset`, `thesis` |
| `filter[sources]` | Source repository | `PubMed Central`, `arXiv`, `Zenodo` |
| `filter[date][gte]` | From date | `2024-01-01` |
| `filter[date][lte]` | Until date | `2026-12-31` |
| `filter[tags]` | Tag filter | `open+data` |
| `page[size]` | Results per page | `page[size]=50` |
| `sort` | Sort order | `-date_updated` |

### Available Sources (200+)

| Source | Type |
|--------|------|
| arXiv | Preprints |
| PubMed Central | Biomedical articles |
| Zenodo | Multi-discipline repository |
| Figshare | Data/figures |
| SSRN | Social science preprints |
| DataCite | Research data |
| Institutional repositories | Various |

## Python Usage

```python
import requests

BASE_URL = "https://share.osf.io/api/v2"


def search_share(query: str, output_type: str = None,
                 source: str = None,
                 from_date: str = None,
                 page_size: int = 20) -> list:
    """Search SHARE for research outputs."""
    params = {"q": query, "page[size]": page_size}
    if output_type:
        params["filter[type]"] = output_type
    if source:
        params["filter[sources]"] = source
    if from_date:
        params["filter[date][gte]"] = from_date

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

    results = []
    for item in data.get("data", []):
        attrs = item.get("attributes", {})
        results.append({
            "title": attrs.get("title"),
            "description": (attrs.get("description") or "")[:300],
            "type": attrs.get("type"),
            "date": attrs.get("date_updated", "")[:10],
            "sources": attrs.get("sources", []),
            "tags": attrs.get("tags", []),
            "identifiers": attrs.get("identifiers", []),
        })
    return results


# Example: find recent preprints on a topic
preprints = search_share(
    "transformer architecture",
    output_type="preprint",
    from_date="2024-01-01",
)
for p in preprints[:5]:
    print(f"[{p['date']}] {p['title']}")
    print(f"  Type: {p['type']} | Sources: {', '.join(p['sources'][:3])}")
```

## References

- [SHARE](https://share.osf.io/)
- [SHARE API Documentation](https://share.osf.io/api/v2/)
- [Center for Open Science](https://cos.io/)
04

Trust 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.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (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.

Audited 2026-10-08 · audit v0.4.1 · source sha e1ba289846fdfull audit observations/trust-audit/skill/brycewang-stanford__share-research-api.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-08e1ba289846fdSAFEB89first audit
06

Questions

What does the Share Research 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 Share Research 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 Share Research Api access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does Share Research 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.

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