wanshuiyin/openalex
Search academic papers via OpenAlex API for open citation data, institutional affiliations, and funding information. Use when user says "openalex search", "search openalex", "open citation graph", or wants comprehensive academic metadata beyond arXiv/Semantic Scholar.
npx skills add https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep --skill openalexSearch query: $ARGUMENTS
This skill uses OpenAlex as a comprehensive open academic graph source:
| Skill | Source | Best for |
|-------|--------|----------|
| /arxiv | arXiv API | Latest preprints, cutting-edge unrefereed work |
| /semantic-scholar | Semantic Scholar API | Published venue papers (IEEE, ACM, Springer) with citation counts |
| /openalex | OpenAlex API | Open citation graph, institutional affiliations, funding data, comprehensive metadata |
| /deepxiv | DeepXiv CLI | Layered reading: search, brief, section map, section reads |
| /exa-search | Exa API | Broad web search: blogs, docs, news, companies, research papers |
| /gemini-search | Gemini MCP / CLI | AI-powered broad literature discovery |
Use OpenAlex when you want:
— max: 20.— sort: citations or — sort: date.openalex_fetch.py, resolved pershared-references/integration-contract.md §2
(Policy D1 — standalone /openalex has no documented inline fallback,
so unresolved helper terminates with an explicit error).
> Overrides (append to arguments):
> - /openalex "topic" — max: 20 — return up to 20 results
> - /openalex "topic" — year: 2023- — papers from 2023 onward
> - /openalex "topic" — year: 2020-2023 — papers from 2020 to 2023
> - /openalex "topic" — type: article — only journal articles
> - /openalex "topic" — type: preprint — only preprints
> - /openalex "topic" — open-access — only open access papers
> - /openalex "topic" — min-citations: 50 — minimum 50 citations
> - /openalex "topic" — sort: citations — sort by citation count (descending)
> - /openalex "topic" — sort: date — sort by publication date (newest first)
requests library: pip install requests
.claude/.env in project root: # Copy from template
cp .claude/.env.example .claude/.env
# Edit and add your keys
# .claude/.env
OPENALEX_API_KEY=your-key-here
[email protected]
Claude Code automatically loads .claude/.env as environment variables.
python3 "$OPENALEX_FETCHER" search "machine learning" --max 3
(Resolve $OPENALEX_FETCHER via the canonical chain first — see Step 2 below.)
Parse $ARGUMENTS for:
2023-, 2020-2023)article, preprint, book, book-chapter, dataset, dissertation)relevance, citations, date)Resolve $OPENALEX_FETCHER via the canonical strict-safe chain (see
shared-references/integration-contract.md §2).
Policy D1: there is no native inline fallback for OpenAlex
(retrieval requires the requests SDK + optional API key — the
fetcher script encapsulates pagination, throttling, and per-source
parameters), so unresolved helper terminates with explicit remediation.
cd "$(git rev-parse --show-toplevel 2>/dev/null || pwd)" || exit 1
if [ -z "${ARIS_REPO:-}" ] && [ -f .aris/installed-skills.txt ]; then
ARIS_REPO=$(awk -F'\t' '$1=="repo_root"{print $2; exit}' .aris/installed-skills.txt 2>/dev/null) || true
fi
if [ -z "${ARIS_REPO:-}" ] && [ -f "$HOME/.aris/repo" ]; then
ARIS_REPO=$(cat "$HOME/.aris/repo" 2>/dev/null) || true
fi
OPENALEX_FETCHER=".aris/tools/openalex_fetch.py"
[ -f "$OPENALEX_FETCHER" ] || OPENALEX_FETCHER="tools/openalex_fetch.py"
[ -f "$OPENALEX_FETCHER" ] || { [ -n "${ARIS_REPO:-}" ] && OPENALEX_FETCHER="$ARIS_REPO/tools/openalex_fetch.py"; }
[ -f "$OPENALEX_FETCHER" ] || {
echo "ERROR: openalex_fetch.py not resolved at .aris/tools/, tools/, \$ARIS_REPO/tools/, or via ~/.aris/repo." >&2
echo " Fix: rerun bash tools/install_aris.sh or smart_update.sh (refreshes ~/.aris/repo), export ARIS_REPO, or copy the helper to tools/." >&2
echo " Also ensure 'requests' is installed: pip install requests" >&2
exit 1
}
Basic search:
python3 "$OPENALEX_FETCHER" search "QUERY" --max 10
With filters:
python3 "$OPENALEX_FETCHER" search "QUERY" --max 10 \
--year 2023- \
--type article \
--open-access \
--min-citations 20 \
--sort citations
Get specific work by DOI:
python3 "$OPENALEX_FETCHER" work "10.1109/TWC.2024.1234567"
Get specific work by OpenAlex ID:
python3 "$OPENALEX_FETCHER" work "W2741809807"
The script returns structured JSON with:
title: Paper titleauthors: List of author namespublication_year: Year publishedvenue: Journal/conference namevenue_type: Type of venue (journal, repository, conference, etc.)cited_by_count: Number of citationsis_oa: Boolean for open access statusoa_status: Open access type (gold, green, bronze, hybrid, closed)oa_url: Direct PDF link if availabledoi: DOI identifieropenalex_id: OpenAlex work IDabstract: Full abstract texttopics: Top 3 research topicskeywords: Top 5 keywordstype: Work type (article, preprint, etc.)Format results as a structured table:
| # | Title | Venue | Year | Citations | OA | Summary |
|---|-------|-------|------|-----------|----|---------|
| 1 | ... | IEEE TWC | 2024 | 156 | ✓ | ... |
| 2 | ... | NeurIPS | 2023 | 89 | ✓ | ... |
For each paper, also show:
After presenting results, suggest:
/semantic-scholar "DOI:..." — get S2 citation context and related papers
/arxiv "arXiv:XXXX.XXXXX" — fetch arXiv preprint if available
/research-lit "topic" — sources: openalex, semantic-scholar — combined multi-source review
/novelty-check "idea" — verify novelty against literature
OPENALEX_EMAIL environment variable for faster response times/semantic-scholar, /arxiv, or /research-lit "topic" — sources: web as alternatives.| Feature | OpenAlex | Semantic Scholar | arXiv |
|---------|----------|------------------|-------|
| Coverage | 250M+ works | 200M+ papers | 2.4M+ preprints |
| Citation data | Fully open | Partially open | None |
| Institutions | ✓ Full affiliations | ✓ Limited | ✗ |
| Funding | ✓ NSF, NIH, etc. | ✗ | ✗ |
| Open access | ✓ Full OA status | ✓ PDF links | ✓ All papers |
| API key | Optional (free) | Optional (free) | Not required |
| Rate limits | 1,000 searches/day (free key) | Unknown | 1 req/3s |
| Abstract | ✓ Full text | ✓ TLDR | ✓ Full text |
| Best for | Comprehensive metadata, institutions, funding | Citation counts, venue info | Latest preprints |
When to use OpenAlex over S2:
When to use S2 over OpenAlex:
Take wanshuiyin/openalex from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference pip.
Without those the skill loads but fails at the first command.