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Search and retrieve open access research papers via CORE aggregator
Passed 23 of 24 test cases with the skill, and 15 of 24 without it.
and 6 more in the full report
8 fixed15 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
What is the exact HTTP endpoint path for searching scholarly publications across the CORE v3 API?
| Checked | Without skill | With skill |
|---|---|---|
| specifies the endpoint path as /v3/search/works | Missed | Passed |
The instructions your model reads when the skill loads.
CORE (COnnecting REpositories) is the world's largest aggregator of open access research papers, providing access to over 130 million articles harvested from thousands of data providers worldwide. The CORE API enables programmatic search, retrieval, and analysis of scholarly full-text content across repositories, journals, and preprint servers.
The API is particularly valuable for researchers conducting systematic reviews, bibliometric analyses, and literature mining tasks. Unlike many scholarly APIs that only provide metadata, CORE specializes in delivering full-text content, making it essential for text mining and natural language processing workflows in academic research.
CORE's v3 API provides a RESTful interface with JSON responses, supporting complex search queries with Boolean operators, field-specific filtering, and batch operations. It is free for non-commercial academic use, though an API key is required to access the service.
CORE requires a free API key for all requests. Register at https://core.ac.uk/services/api to obtain one.
Always store your API key in an environment variable and reference it in requests:
export CORE_API_KEY=$CORE_API_KEY
Pass the key via the Authorization header:
curl -H "Authorization: Bearer $CORE_API_KEY" \
"https://api.core.ac.uk/v3/search/works?q=machine+learning"
Search across the entire CORE corpus with full-text and metadata queries.
GET https://api.core.ac.uk/v3/search/works?q={query}&limit={n}&offset={n}
Parameters:
q (required): Search query string, supports Boolean operators (AND, OR, NOT)limit: Number of results (default 10, max 100)test cases passed, vs 15 / 24 without
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