Orcid Integration GuideSAFE
🔬 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: orcid-integration-guide
description: "Set up and leverage ORCID for researcher identification and profiles"
metadata:
openclaw:
emoji: "🪪"
category: "literature"
subcategory: "metadata"
keywords: ["ORCID", "researcher ID", "author disambiguation", "scholarly identity", "publication profile"]
source: "wentor-research-plugins"
---
# ORCID Integration Guide
A skill for creating, maintaining, and leveraging ORCID (Open Researcher and Contributor ID) to establish a persistent digital identity, automate publication tracking, and integrate with journals, funders, and institutional systems.
## What Is ORCID?
### Overview
ORCID provides a unique 16-digit identifier (e.g., 0000-0002-1825-0097) that distinguishes you from every other researcher, regardless of name similarity, institutional changes, or transliteration variations. Over 19 million researchers have ORCID iDs, and thousands of publishers and funders now require or support ORCID integration.
### Why ORCID Matters
```
Problem: Name ambiguity in scholarly publishing
- "J. Wang" could be thousands of researchers
- Name changes (marriage, legal reasons)
- Transliteration differences (Chinese, Korean, Arabic names)
- Multiple institutional affiliations over a career
Solution: ORCID provides a persistent, unique identifier
- Follows you across institutions and career stages
- Links to your publications, grants, affiliations
- Accepted by 1,500+ publishers and funders
- Free and researcher-controlled
```
## Setting Up Your ORCID Profile
### Registration and Configuration
```
Step 1: Register at orcid.org
- Use your institutional email (can add personal email too)
- Choose a password
- Set visibility defaults (public recommended for researchers)
Step 2: Complete your profile
- Name and alternate names (include transliterations)
- Biography (2-3 sentences about your research)
- Education history (degrees, institutions, years)
- Employment history (positions, institutions, years)
- Keywords (5-10 terms describing your research areas)
Step 3: Link your works
- Use "Search & Link" to pull in publications automatically
- Supported sources: Crossref, Scopus, Web of Science, Europe PMC
- Review each imported work before adding
Step 4: Connect to other systems
- Link Scopus Author ID
- Link ResearcherID / Web of Science
- Connect institutional repository
```
### Privacy Settings
```python
def configure_orcid_visibility(profile_sections: dict) -> dict:
"""
Recommended ORCID visibility settings for academic researchers.
Args:
profile_sections: Dict of section names and current visibility
"""
recommendations = {
"name": "public",
"biography": "public",
"education": "public",
"employment": "public",
"works": "public",
"email": "trusted_parties",
"funding": "public",
"peer_reviews": "trusted_parties",
"keywords": "public"
}
settings = {}
for section, current in profile_sections.items():
recommended = recommendations.get(section, "public")
settings[section] = {
"current": current,
"recommended": recommended,
"reason": (
"Public visibility maximizes discoverability"
if recommended == "public"
else "Shared only with authorized organizations"
)
}
return settings
```
## Integrating ORCID with Publishing Workflows
### Journal Submission
Most major publishers now request your ORCID during manuscript submission:
```
Elsevier: Required for corresponding author
Springer Nature: Required for corresponding author
Wiley: Requested for all authors
PLOS: Required for corresponding author
IEEE: Requested for all authors
Taylor & Francis: Requested for all authors
```
When you provide your ORCID during submission, the publication is automatically added to your ORCID record upon acceptance (via Crossref auto-update).
### Funder Integration
```
NIH: ORCID linked via eRA Commons / SciENcv
NSF: ORCID accepted in proposal submissions
ERC: ORCID required for applicants
UKRI: ORCID required for grant holders
ARC (Australia): ORCID required for applicants
```
## Using the ORCID API
### Retrieving Public Records
```python
import urllib.request
import json
def get_orcid_works(orcid_id: str) -> list:
"""
Retrieve the public works list from an ORCID profile.
Args:
orcid_id: The ORCID iD (e.g., '0000-0002-1825-0097')
"""
url = f"https://pub.orcid.org/v3.0/{orcid_id}/works"
req = urllib.request.Request(url, headers={
"Accept": "application/json"
})
response = urllib.request.urlopen(req)
data = json.loads(response.read())
works = []
for group in data.get("group", []):
summary = group["work-summary"][0]
works.append({
"title": summary["title"]["title"]["value"],
"type": summary.get("type"),
"year": summary.get("publication-date", {}).get("year", {}).get("value"),
"journal": summary.get("journal-title", {}).get("value") if summary.get("journal-title") else None,
"put_code": summary.get("put-code")
})
return works
```
## Maintaining Your ORCID Record
### Best Practices
- Review your record quarterly for completeness
- Enable auto-updates from Crossref (Settings > Account Settings > Crossref)
- Add preprints and datasets, not just journal articles
- Include peer review activity (via Publons/Web of Science integration)
- Use your ORCID iD in email signatures, CVs, and personal websites
- Format as a full URL: https://orcid.org/0000-0002-1825-0097
## See Also
- [orcid-api](../orcid-api/SKILL.md) -- Detailed ORCID Public API reference with endpoints, authentication, rate limits, and query examples.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.
| 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__orcid-integration-guide.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 Orcid Integration Guide 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 Orcid Integration Guide 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 Orcid Integration Guide access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Orcid Integration Guide 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.