Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Access Latin American and developing world research via SciELO API
$ npx skills add wentorai/research-plugins --skill scielo-api -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wentorai/research-plugins scielo-api --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/search/scielo-api .claude/skills/scielo-api && 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 "scielo-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/search/scielo-api into .claude/skills/scielo-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scielo-api", 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/search/scielo-apiType 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 scielo-api -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wentorai/research-plugins scielo-api --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/search/scielo-api .agents/skills/scielo-api && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scielo-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/search/scielo-api into .agents/skills/scielo-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scielo-api", 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 scielo-api -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wentorai/research-plugins scielo-api --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/search/scielo-api .cursor/skills/scielo-api && 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 "scielo-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/search/scielo-api into .cursor/skills/scielo-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scielo-api", 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/search/scielo-api--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 scielo-api -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wentorai/research-plugins scielo-api --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/search/scielo-api .gemini/skills/scielo-api && 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 "scielo-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/search/scielo-api into .gemini/skills/scielo-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scielo-api", 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 scielo-apiInstalls 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 scielo-api -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/search/scielo-api .github/skills/scielo-api && 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 "scielo-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/search/scielo-api into .github/skills/scielo-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scielo-api", 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 scielo-api -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 scielo-api --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/search/scielo-api .opencode/skills/scielo-api && 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 "scielo-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/search/scielo-api into .opencode/skills/scielo-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scielo-api", 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.
scielo-apiAccess Latin American and developing world research via SciELO API
Scielo API is an agent skill from wentorai/research-plugins. Access Latin American and developing world research via SciELO API
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:
curlFrom 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:
articlemeta.scielo.orgsearch.scielo.orgscielo.organalytics.scielo.orgAlso links to:
wiki.scielo.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Scielo API loads about 1.4k tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 204 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). 204 words, ~1,400 tokens.
.claude/skills/scielo-api/SKILL.md (or your agent's skills folder).SciELO (Scientific Electronic Library Online) is the primary open access platform for scholarly journals in Latin America, the Caribbean, Spain, Portugal, and South Africa. It indexes 1,800+ peer-reviewed journals and 900K+ articles, many not indexed elsewhere. All content is open access. The API provides article search, journal metadata, and bibliometric indicators. Free, no authentication required.
Search and retrieve articles:
# Search articles by keyword
curl "https://articlemeta.scielo.org/api/v1/article/?collection=scl&q=machine+learning"
# Get article by PID (SciELO identifier)
curl "https://articlemeta.scielo.org/api/v1/article/?code=S0100-204X2024000100001"
# Filter by collection (country)
curl "https://articlemeta.scielo.org/api/v1/article/?collection=esp&q=climate+change"
# Filter by journal ISSN
curl "https://articlemeta.scielo.org/api/v1/article/?issn=0100-204X&from_date=2024-01-01"| Code | Country/Region |
|---|---|
scl | Brazil |
esp | Spain |
mex | Mexico |
col | Colombia |
chl | Chile |
arg | Argentina |
cub | Cuba |
ven | Venezuela |
prt | Portugal |
zaf | South Africa |
# List journals in a collection
curl "https://articlemeta.scielo.org/api/v1/journal/?collection=scl"
# Get journal by ISSN
curl "https://articlemeta.scielo.org/api/v1/journal/?issn=0100-204X"
# Journal indicators
curl "https://analytics.scielo.org/api/v1/journal/?issn=0100-204X"Full-text search with facets:
# Full-text search
curl "https://search.scielo.org/?q=biodiversity+conservation&format=json&count=20"
# Filter by subject area
curl "https://search.scielo.org/?q=neural+networks&filter[subject_area]=Computer+Science&format=json"
# Filter by year range
curl "https://search.scielo.org/?q=CRISPR&filter[year_cluster]=2023-2026&format=json"
# Filter by language
curl "https://search.scielo.org/?q=epidemiology&filter[la]=en&format=json"| Parameter | Description | Example |
|---|---|---|
q | Free-text query | q=tropical+ecology |
collection | Country code | collection=scl |
issn | Journal ISSN | issn=0100-204X |
from_date | Articles from date | from_date=2024-01-01 |
until_date | Articles until date | until_date=2026-12-31 |
format | Response format | json, xml |
count | Results per page | count=50 |
offset | Pagination offset | offset=20 |
import requests
ARTICLE_API = "https://articlemeta.scielo.org/api/v1"
SEARCH_API = "https://search.scielo.org"
def search_scielo(query: str, collection: str = None,
count: int = 20) -> list:
"""Search SciELO articles."""
params = {"q": query, "format": "json", "count": count}
if collection:
params["collection"] = collection
resp = requests.get(f"{SEARCH_API}/", params=params)
resp.raise_for_status()
data = resp.json()
results = []
for doc in data.get("docs", data.get("results", [])):
results.append({
"title": doc.get("title", {}).get("en", doc.get("title", "")),
"authors": doc.get("authors", []),
"journal": doc.get("journal_title", ""),
"year": doc.get("publication_year", ""),
"doi": doc.get("doi", ""),
"pid": doc.get("pid", ""),
"language": doc.get("la", []),
"url": f"https://scielo.org/article/{doc.get('pid', '')}",
})
return results
def get_article(pid: str) -> dict:
"""Get full article metadata by SciELO PID."""
resp = requests.get(
f"{ARTICLE_API}/article/",
params={"code": pid, "format": "json"},
)
resp.raise_for_status()
return resp.json()
def list_journals(collection: str = "scl") -> list:
"""List journals in a SciELO collection."""
resp = requests.get(
f"{ARTICLE_API}/journal/",
params={"collection": collection, "format": "json"},
)
resp.raise_for_status()
return resp.json()
# Example: find Brazilian ecology research
papers = search_scielo("Amazon deforestation biodiversity", collection="scl")
for p in papers:
print(f"[{p['year']}] {p['title']} — {p['journal']}")
# Example: find Spanish medical research
papers = search_scielo("diabetes treatment", collection="esp")
for p in papers:
print(f"{p['title']} (DOI: {p['doi']})")© 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/search/scielo-api 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.
Scielo API 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 |
|---|---|---|---|---|---|---|
| Scielo API 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
Access Latin American and developing world research via SciELO API. Scielo API is an agent skill from wentorai/research-plugins.
Scielo API fits situations like: research & Science work in your project.
Run `npx skills add wentorai/research-plugins --skill scielo-api -a claude-code`. Or copy the skill folder (skills/literature/search/scielo-api in wentorai/research-plugins) into .claude/skills/scielo-api in your project. Claude Code loads it when a task matches its description.
Run `npx skills add wentorai/research-plugins --skill scielo-api -a codex`. Or copy the skill folder (skills/literature/search/scielo-api in wentorai/research-plugins) into .agents/skills/scielo-api 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 scielo-api -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scielo-api, .gemini/skills/scielo-api, .github/skills/scielo-api and .opencode/skills/scielo-api in your project.
Going by SKILL.md and its folder, Scielo API needs the command-line tools its instructions call (curl). Our summary lists: Python 3.
SKILL.md names 5 domains. In commands or code: articlemeta.scielo.org, search.scielo.org, scielo.org and analytics.scielo.org; the agent is likely to contact these when it follows the instructions. As links in the text: wiki.scielo.org. 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.
Scielo API 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 5.6k 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 Scielo API: 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.