Doi Content NegotiationSAFE
🔬 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: doi-content-negotiation
description: "Retrieve structured metadata from any DOI via HTTP content negotiation"
metadata:
openclaw:
emoji: "🔗"
category: "literature"
subcategory: "metadata"
keywords: ["DOI", "content negotiation", "metadata retrieval", "BibTeX", "citation metadata", "linked data"]
source: "https://citation.crosscite.org/"
---
# DOI Content Negotiation
## Overview
Any DOI can return structured metadata in multiple formats through HTTP content negotiation — simply set the `Accept` header when requesting `https://doi.org/{doi}`. This is the most universal way to get citation metadata, BibTeX entries, JSON-LD, and RDF from any publisher without needing a specific API. Works for all 300M+ registered DOIs. Free, no authentication.
## Usage
### Basic Content Negotiation
```bash
# Get JSON citation metadata (Citeproc JSON)
curl -LH "Accept: application/vnd.citationstyles.csl+json" \
"https://doi.org/10.1038/nature14539"
# Get BibTeX
curl -LH "Accept: application/x-bibtex" \
"https://doi.org/10.1038/nature14539"
# Get RIS format
curl -LH "Accept: application/x-research-info-systems" \
"https://doi.org/10.1038/nature14539"
# Get formatted citation (APA style)
curl -LH "Accept: text/x-bibliography; style=apa" \
"https://doi.org/10.1038/nature14539"
# Get formatted citation (Chicago style)
curl -LH "Accept: text/x-bibliography; style=chicago-author-date" \
"https://doi.org/10.1038/nature14539"
```
### Available Formats
| Accept Header | Format | Use Case |
|--------------|--------|----------|
| `application/vnd.citationstyles.csl+json` | Citeproc JSON | Programmatic metadata |
| `application/x-bibtex` | BibTeX | LaTeX bibliography |
| `application/x-research-info-systems` | RIS | Reference managers |
| `text/x-bibliography; style=apa` | Formatted text | Direct citation |
| `application/rdf+xml` | RDF/XML | Linked data |
| `text/turtle` | Turtle RDF | Linked data |
| `application/vnd.schemaorg.ld+json` | Schema.org JSON-LD | Web metadata |
| `application/json` | DataCite JSON | DataCite DOIs |
| `application/vnd.crossref.unixref+xml` | Crossref XML | Full Crossref metadata |
### Citation Styles
Over 9,000 CSL styles available:
```bash
# APA 7th edition
style=apa
# Chicago Manual of Style (author-date)
style=chicago-author-date
# IEEE
style=ieee
# MLA
style=modern-language-association
# Harvard
style=harvard-cite-them-right
# Vancouver (medical)
style=vancouver
# Nature
style=nature
```
## Citeproc JSON Response
```json
{
"DOI": "10.1038/nature14539",
"type": "article-journal",
"title": "Deep learning",
"author": [
{"given": "Yann", "family": "LeCun"},
{"given": "Yoshua", "family": "Bengio"},
{"given": "Geoffrey", "family": "Hinton"}
],
"container-title": "Nature",
"volume": "521",
"issue": "7553",
"page": "436-444",
"issued": {"date-parts": [[2015, 5, 28]]},
"publisher": "Springer Science and Business Media LLC",
"ISSN": ["0028-0836", "1476-4687"],
"URL": "http://dx.doi.org/10.1038/nature14539",
"abstract": "Deep learning allows computational models..."
}
```
## Python Usage
```python
import requests
def get_metadata(doi: str) -> dict:
"""Get structured metadata for a DOI."""
resp = requests.get(
f"https://doi.org/{doi}",
headers={"Accept": "application/vnd.citationstyles.csl+json"},
allow_redirects=True,
)
resp.raise_for_status()
return resp.json()
def get_bibtex(doi: str) -> str:
"""Get BibTeX entry for a DOI."""
resp = requests.get(
f"https://doi.org/{doi}",
headers={"Accept": "application/x-bibtex"},
allow_redirects=True,
)
resp.raise_for_status()
return resp.text
def get_formatted_citation(doi: str,
style: str = "apa") -> str:
"""Get a formatted citation string."""
resp = requests.get(
f"https://doi.org/{doi}",
headers={
"Accept": f"text/x-bibliography; style={style}",
},
allow_redirects=True,
)
resp.raise_for_status()
return resp.text.strip()
def batch_bibtex(dois: list) -> str:
"""Generate BibTeX file for multiple DOIs."""
entries = []
for doi in dois:
try:
bib = get_bibtex(doi)
entries.append(bib)
except requests.HTTPError:
entries.append(f"% Failed to resolve: {doi}")
return "\n\n".join(entries)
# Example: get metadata
meta = get_metadata("10.1038/nature14539")
authors = ", ".join(
f"{a['given']} {a['family']}" for a in meta.get("author", [])
)
print(f"{meta['title']}")
print(f" Authors: {authors}")
print(f" {meta.get('container-title')} ({meta.get('volume')})")
# Example: get BibTeX
bibtex = get_bibtex("10.1038/nature14539")
print(f"\nBibTeX:\n{bibtex}")
# Example: formatted APA citation
apa = get_formatted_citation("10.1038/nature14539", "apa")
print(f"\nAPA: {apa}")
# Example: batch export
bibliography = batch_bibtex([
"10.1038/nature14539",
"10.5555/3295222.3295349",
])
with open("references.bib", "w") as f:
f.write(bibliography)
```
## Use Cases
1. **Bibliography generation**: Export BibTeX/RIS for any DOI list
2. **Citation formatting**: Generate properly formatted citations
3. **Metadata extraction**: Get structured metadata for data pipelines
4. **Linked data**: Retrieve RDF for knowledge graph construction
5. **Verification**: Confirm publication details from authoritative source
## References
- [DOI Content Negotiation](https://citation.crosscite.org/docs.html)
- [Crossref Content Negotiation](https://www.crossref.org/documentation/retrieve-metadata/content-negotiation/)
- [CSL Style Repository](https://github.com/citation-style-language/styles)
## See Also
- [doi-resolution-guide](../doi-resolution-guide/SKILL.md) -- Conceptual overview of DOI resolution, validation, normalization, and CrossRef API usage.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__doi-content-negotiation.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 Doi Content Negotiation 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 Doi Content Negotiation 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 Doi Content Negotiation access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Doi Content Negotiation 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.