Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Search and retrieve open access research papers via CORE aggregator
$ npx skills add wentorai/research-plugins --skill core-api-guide -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wentorai/research-plugins core-api-guide --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/literature/fulltext/core-api-guide .claude/skills/core-api-guide && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "core-api-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/core-api-guide into .claude/skills/core-api-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "core-api-guide", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/core-api-guideType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add wentorai/research-plugins --skill core-api-guide -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wentorai/research-plugins core-api-guide --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/literature/fulltext/core-api-guide .agents/skills/core-api-guide && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "core-api-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/core-api-guide into .agents/skills/core-api-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "core-api-guide", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wentorai/research-plugins --skill core-api-guide -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wentorai/research-plugins core-api-guide --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/literature/fulltext/core-api-guide .cursor/skills/core-api-guide && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "core-api-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/core-api-guide into .cursor/skills/core-api-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "core-api-guide", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/wentorai/research-plugins.git --path skills/literature/fulltext/core-api-guide--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add wentorai/research-plugins --skill core-api-guide -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wentorai/research-plugins core-api-guide --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/literature/fulltext/core-api-guide .gemini/skills/core-api-guide && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "core-api-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/core-api-guide into .gemini/skills/core-api-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "core-api-guide", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install wentorai/research-plugins core-api-guideInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add wentorai/research-plugins --skill core-api-guide -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/literature/fulltext/core-api-guide .github/skills/core-api-guide && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "core-api-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/core-api-guide into .github/skills/core-api-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "core-api-guide", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wentorai/research-plugins --skill core-api-guide -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wentorai/research-plugins core-api-guide --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/literature/fulltext/core-api-guide .opencode/skills/core-api-guide && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "core-api-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/core-api-guide into .opencode/skills/core-api-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "core-api-guide", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
core-api-guideSearch and retrieve open access research papers via CORE aggregator
Core API Guide is an agent skill from wentorai/research-plugins. Search and retrieve open access research papers via CORE aggregator
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.
Read from SKILL.md and the folder at commit bf44b3c. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
curlpython3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.core.ac.ukAlso links to:
core.ac.ukgithub.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
CORE_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Core API Guide loads about 1.4k tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 478 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 478 words, ~1,352 tokens.
.claude/skills/core-api-guide/SKILL.md (or your agent's skills folder).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_KEYPass 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)offset: Pagination offsetentity_type: Filter by type (e.g., journal-article, preprint)Example: Search for climate change papers with full text:
curl -s -H "Authorization: Bearer $CORE_API_KEY" \
"https://api.core.ac.uk/v3/search/works?q=climate+change+adaptation&limit=5" \
| python3 -m json.toolPython example:
import requests
import os
headers = {"Authorization": f"Bearer {os.environ['CORE_API_KEY']}"}
params = {
"q": "deep learning AND medical imaging",
"limit": 20,
"offset": 0
}
resp = requests.get("https://api.core.ac.uk/v3/search/works", headers=headers, params=params)
data = resp.json()
for result in data.get("results", []):
print(f"Title: {result.get('title')}")
print(f"DOI: {result.get('doi')}")
print(f"Year: {result.get('yearPublished')}")
print(f"Full text length: {len(result.get('fullText', ''))}")
print("---")Retrieve a specific paper by its CORE ID or DOI.
GET https://api.core.ac.uk/v3/works/{core_id}curl -s -H "Authorization: Bearer $CORE_API_KEY" \
"https://api.core.ac.uk/v3/works/doi:10.1234/example.doi" \
| python3 -m json.toolRetrieve multiple works in a single request using POST with a list of IDs.
curl -s -X POST -H "Authorization: Bearer $CORE_API_KEY" \
-H "Content-Type: application/json" \
-d '[12345, 67890, 11111]' \
"https://api.core.ac.uk/v3/works"List or search CORE's data providers (repositories, journals).
GET https://api.core.ac.uk/v3/data-providers?q={query}Systematic Literature Review: Use Boolean queries to replicate a search strategy across the full-text corpus. Combine with date filters to identify papers within a specific time window, then export results for screening in tools like Rayyan or Covidence.
Full-Text Mining: Retrieve full-text content programmatically for NLP pipelines. Extract named entities, key phrases, or citation contexts at scale across thousands of papers.
Repository Coverage Analysis: Query data providers to understand which institutional repositories contribute to a specific field, useful for bibliometric and open-access policy research.
Trend Detection: Run time-series queries for specific terms and track publication volume over years to identify emerging research fronts.
offset and limit for large result sets; do not fetch all results in one call© wentorai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/literature/fulltext/core-api-guide of wentorai/research-plugins.
Open the folder on GitHubat commit bf44b3c
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.
Core API Guide next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Core API Guide this skillwentorai/research-plugins | 298 | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.8k | 15 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 83k | 5 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 46k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Read arXiv Paperkarpathy/nanochat | 58k | 2 repos | ~494 | Automated safety check: Pass | MIT | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT |
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
karpathy/nanochat
Fetches the TeX source of an arXiv paper from its URL, reads it and writes a markdown summary tied to the nanochat project.
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
wentorai/research-plugins
Craft structured research abstracts that maximize clarity and journal acceptance
wentorai/research-plugins
Manage academic citations across BibTeX, APA, MLA, and Chicago formats
wentorai/research-plugins
Summarize academic papers with structured extraction of key elements
wentorai/research-plugins
Evidence-based study techniques for academic learning and retention
wentorai/research-plugins
Adjust writing tone and register for academic audiences and venues
wentorai/research-plugins
Academic translation, post-editing, and Chinglish correction guide
Categories
Search and retrieve open access research papers via CORE aggregator. Core API Guide is an agent skill from wentorai/research-plugins.
Core API Guide fits situations like: research & Science work in your project.
Run `npx skills add wentorai/research-plugins --skill core-api-guide -a claude-code`. Or copy the skill folder (skills/literature/fulltext/core-api-guide in wentorai/research-plugins) into .claude/skills/core-api-guide in your project. Claude Code loads it when a task matches its description.
Run `npx skills add wentorai/research-plugins --skill core-api-guide -a codex`. Or copy the skill folder (skills/literature/fulltext/core-api-guide in wentorai/research-plugins) into .agents/skills/core-api-guide in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wentorai/research-plugins --skill core-api-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/core-api-guide, .gemini/skills/core-api-guide, .github/skills/core-api-guide and .opencode/skills/core-api-guide in your project.
Going by SKILL.md and its folder, Core API Guide needs the command-line tools its instructions call (curl and python3) and credentials named CORE_API_KEY. Our summary lists: Python 3; A credential in CORE_API_KEY.
SKILL.md names 3 domains. In commands or code: api.core.ac.uk; the agent is likely to contact it when it follows the instructions. As links in the text: core.ac.uk and github.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Core API Guide is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Core API Guide: Hypothesis Generation (spacering-net/codeg, 3.8k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars), Nature Paper Card (Yuan1z0825/nature-skills, 46k stars) and Read arXiv Paper (karpathy/nanochat, 58k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 428 skills in this directory. The repository was last updated on June 19, 2026.
Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.