Systematic Review Screener
Imbad0202/academic-research-skills
Screens records for systematic, scoping and rapid reviews against fixed eligibility rules, using two blinded AI reviewers and a third adjudicator, with traceable PRISMA counts.
PubMed Central OAI-PMH metadata harvesting. An agent skill from wentorai/research-plugins.
$ npx skills add wentorai/research-plugins --skill pmc-oai-api -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wentorai/research-plugins pmc-oai-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/fulltext/pmc-oai-api .claude/skills/pmc-oai-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 "pmc-oai-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/pmc-oai-api into .claude/skills/pmc-oai-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pmc-oai-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/fulltext/pmc-oai-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 pmc-oai-api -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wentorai/research-plugins pmc-oai-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/fulltext/pmc-oai-api .agents/skills/pmc-oai-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 "pmc-oai-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/pmc-oai-api into .agents/skills/pmc-oai-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pmc-oai-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 pmc-oai-api -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wentorai/research-plugins pmc-oai-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/fulltext/pmc-oai-api .cursor/skills/pmc-oai-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 "pmc-oai-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/pmc-oai-api into .cursor/skills/pmc-oai-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pmc-oai-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/fulltext/pmc-oai-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 pmc-oai-api -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wentorai/research-plugins pmc-oai-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/fulltext/pmc-oai-api .gemini/skills/pmc-oai-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 "pmc-oai-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/pmc-oai-api into .gemini/skills/pmc-oai-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pmc-oai-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 pmc-oai-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 pmc-oai-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/fulltext/pmc-oai-api .github/skills/pmc-oai-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 "pmc-oai-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/pmc-oai-api into .github/skills/pmc-oai-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pmc-oai-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 pmc-oai-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 pmc-oai-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/fulltext/pmc-oai-api .opencode/skills/pmc-oai-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 "pmc-oai-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/pmc-oai-api into .opencode/skills/pmc-oai-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pmc-oai-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.
pmc-oai-apiPubMed Central OAI-PMH metadata harvesting. An agent skill from wentorai/research-plugins.
Pmc Oai API is an agent skill from wentorai/research-plugins. PubMed Central OAI-PMH metadata harvesting
Its SKILL.md is about 2.1k 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. It works with PubMed. 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:
pmc.ncbi.nlm.nih.govopenarchives.orgpurl.orgAlso links to:
ncbi.nlm.nih.govFrom 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.
Pmc Oai API loads about 2.1k tokens when it runs. Until then it costs about 14 tokens; SKILL.md has 650 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). 650 words, ~2,130 tokens.
.claude/skills/pmc-oai-api/SKILL.md (or your agent's skills folder).PubMed Central (PMC) is a free full-text archive of biomedical and life sciences journal literature at the U.S. National Institutes of Health's National Library of Medicine (NIH/NLM). The PMC OAI-PMH (Open Archives Initiative Protocol for Metadata Harvesting) service provides a standardized interface for systematically harvesting metadata and full-text content from the PMC archive.
The OAI-PMH protocol is an internationally recognized standard for metadata harvesting, widely used by libraries, repositories, and research infrastructure. The PMC implementation allows researchers to programmatically discover and retrieve article metadata, including titles, authors, abstracts, MeSH terms, publication dates, and links to full-text XML and PDF versions. This is particularly valuable for building local search indexes, systematic review pipelines, and text mining corpora.
Biomedical researchers, systematic reviewers, bioinformaticians, medical librarians, and text mining specialists use the PMC OAI-PMH service to harvest large collections of open-access biomedical literature for meta-analyses, natural language processing research, knowledge graph construction, and institutional repository enrichment. PMC contains over 9 million full-text articles, making it one of the largest open-access biomedical literature collections in the world.
No authentication required. The PMC OAI-PMH service is freely accessible without any API key, token, or registration. All requests are made via standard HTTP GET requests. However, users must comply with NCBI usage guidelines and respect the rate limits to ensure fair access for all users.
Retrieve metadata records from PMC in bulk, with optional filtering by date range and metadata set. This is the primary endpoint for systematic metadata harvesting.
GET https://pmc.ncbi.nlm.nih.gov/api/oai/v1/mh/| Parameter | Type | Required | Description |
|---|---|---|---|
| verb | string | Yes | Must be ListRecords |
| metadataPrefix | string | Yes | Metadata format: oai_dc, pmc, or pmc_fm |
| set | string | No | Filter by set (e.g., journal, open access subset) |
| from | string | No | Start date for selective harvesting (YYYY-MM-DD) |
| until | string | No | End date for selective harvesting (YYYY-MM-DD) |
| resumptionToken | string | No | Token for paginating through large result sets |
# Harvest recent open-access records in Dublin Core format
curl "https://pmc.ncbi.nlm.nih.gov/api/oai/v1/mh/?verb=ListRecords&metadataPrefix=oai_dc&from=2024-06-01&until=2024-06-07"
# Harvest PMC full metadata format
curl "https://pmc.ncbi.nlm.nih.gov/api/oai/v1/mh/?verb=ListRecords&metadataPrefix=pmc_fm&from=2024-06-01&until=2024-06-02"<record> elements, each with <header> (identifier, datestamp, setSpec) and <metadata> (article title, creators, subjects, description, date, identifiers, rights). Includes a <resumptionToken> for fetching subsequent pages.Fetch the complete metadata record for a specific PMC article by its OAI identifier.
GET https://pmc.ncbi.nlm.nih.gov/api/oai/v1/mh/| Parameter | Type | Required | Description |
|---|---|---|---|
| verb | string | Yes | Must be GetRecord |
| identifier | string | Yes | OAI identifier (e.g., oai:pubmedcentral.nih.gov:1234567) |
| metadataPrefix | string | Yes | Metadata format: oai_dc, pmc, or pmc_fm |
curl "https://pmc.ncbi.nlm.nih.gov/api/oai/v1/mh/?verb=GetRecord&identifier=oai:pubmedcentral.nih.gov:7096803&metadataPrefix=oai_dc"<record> element with full metadata in the requested format, including article title, all authors, abstract, journal information, publication date, DOI, PMID, and subject classifications.Retrieve the list of available sets (collections) that can be used to filter records during harvesting. Sets typically correspond to journals, open-access subsets, or subject categories.
GET https://pmc.ncbi.nlm.nih.gov/api/oai/v1/mh/| Parameter | Type | Required | Description |
|---|---|---|---|
| verb | string | Yes | Must be ListSets |
curl "https://pmc.ncbi.nlm.nih.gov/api/oai/v1/mh/?verb=ListSets"<set> elements containing <setSpec> (machine-readable identifier) and <setName> (human-readable name) for each available collection.The PMC OAI-PMH service enforces a rate limit of 3 requests per second. Exceeding this limit may result in temporary IP blocking. NCBI requires users to make no more than 3 requests per second across all NCBI E-utilities and OAI services combined. For bulk harvesting, implement appropriate delays between requests and use the resumptionToken for pagination rather than making parallel requests.
NCBI also requests that users identify themselves by including an email address in the HTTP request headers or by registering for an NCBI API key (which allows up to 10 requests per second).
Harvest new records added since your last sync using date-based selective harvesting:
import requests
import xml.etree.ElementTree as ET
import time
base_url = "https://pmc.ncbi.nlm.nih.gov/api/oai/v1/mh/"
params = {
"verb": "ListRecords",
"metadataPrefix": "oai_dc",
"from": "2024-06-01",
"until": "2024-06-07"
}
all_records = []
while True:
resp = requests.get(base_url, params=params)
root = ET.fromstring(resp.text)
ns = {"oai": "http://www.openarchives.org/OAI/2.0/"}
records = root.findall(".//oai:record", ns)
all_records.extend(records)
token_elem = root.find(".//oai:resumptionToken", ns)
if token_elem is not None and token_elem.text:
params = {"verb": "ListRecords", "resumptionToken": token_elem.text}
time.sleep(0.5) # Respect rate limits
else:
break
print(f"Harvested {len(all_records)} records")Extract structured metadata from harvested records for indexing:
import requests
import xml.etree.ElementTree as ET
url = "https://pmc.ncbi.nlm.nih.gov/api/oai/v1/mh/"
params = {
"verb": "GetRecord",
"identifier": "oai:pubmedcentral.nih.gov:7096803",
"metadataPrefix": "oai_dc"
}
resp = requests.get(url, params=params)
root = ET.fromstring(resp.text)
dc_ns = "http://purl.org/dc/elements/1.1/"
oai_ns = "http://www.openarchives.org/OAI/2.0/"
metadata = root.find(f".//{{{oai_ns}}}metadata")
if metadata is not None:
title = metadata.find(f".//{{{dc_ns}}}title")
creators = metadata.findall(f".//{{{dc_ns}}}creator")
print(f"Title: {title.text if title is not None else 'N/A'}")
print(f"Authors: {', '.join(c.text for c in creators)}")List all available journal sets to target specific journal harvesting:
curl "https://pmc.ncbi.nlm.nih.gov/api/oai/v1/mh/?verb=ListSets" | head -100© 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/pmc-oai-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.
Pmc Oai 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 |
|---|---|---|---|---|---|---|
| Pmc Oai API this skillwentorai/research-plugins | 298 | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Systematic Review ScreenerImbad0202/academic-research-skills | 51k | — | ~8.4k | Automated safety check: Pass | Custom licence | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Citation ManagementK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.9k | Automated safety check: Notes | MIT | |
| Citation Managementneflibata-feng/MyArxiv-Agent | 126 | 19 repos | ~8.1k | Automated safety check: Notes | MIT | |
| Paper Searchopenags/paper-search-mcp | 2.8k | — | ~1.2k | Automated safety check: Notes | MIT |
Imbad0202/academic-research-skills
Screens records for systematic, scoping and rapid reviews against fixed eligibility rules, using two blinded AI reviewers and a third adjudicator, with traceable PRISMA counts.
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
K-Dense-AI/claude-scientific-writer
Finds papers in OpenAlex, PubMed and Google Scholar, turns DOIs, PMIDs and arXiv IDs into clean BibTeX, and validates citations for a manuscript or thesis.
neflibata-feng/MyArxiv-Agent
Comprehensive citation management for academic research. An agent skill from neflibata-feng/MyArxiv-Agent.
openags/paper-search-mcp
Search, download, and read academic papers from 20+ sources (arXiv, PubMed, Semantic Scholar, CrossRef, etc).
wp-a/nature-academic-search
A skill your agent uses when users ask to 找文献、做文献检索、查论文、查临床试验、核验引用、去重文献、设计 PubMed/MeSH 检索式、追踪上下游引文、解析 DOI/PMID/PMCID/arXiv/OpenAlex/Semantic Scholar/NCT ID, 或导出 RIS、BibTeX、NBIB、ENW;also use for…
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
Works with
Categories
PubMed Central OAI-PMH metadata harvesting. An agent skill from wentorai/research-plugins. Pmc Oai API is an agent skill from wentorai/research-plugins.
Pmc Oai API fits situations like: research & Science work in your project.
Run `npx skills add wentorai/research-plugins --skill pmc-oai-api -a claude-code`. Or copy the skill folder (skills/literature/fulltext/pmc-oai-api in wentorai/research-plugins) into .claude/skills/pmc-oai-api in your project. Claude Code loads it when a task matches its description.
Run `npx skills add wentorai/research-plugins --skill pmc-oai-api -a codex`. Or copy the skill folder (skills/literature/fulltext/pmc-oai-api in wentorai/research-plugins) into .agents/skills/pmc-oai-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 pmc-oai-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/pmc-oai-api, .gemini/skills/pmc-oai-api, .github/skills/pmc-oai-api and .opencode/skills/pmc-oai-api in your project.
Going by SKILL.md and its folder, Pmc Oai API needs the command-line tools its instructions call (curl). Our summary lists: Python 3.
SKILL.md names 4 domains. In commands or code: pmc.ncbi.nlm.nih.gov, openarchives.org and purl.org; the agent is likely to contact these when it follows the instructions. As links in the text: ncbi.nlm.nih.gov. 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.
Pmc Oai 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 2.1k tokens (SKILL.md is roughly 8.5k 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 Pmc Oai API: Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars) and Citation Management (neflibata-feng/MyArxiv-Agent, 126 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 405 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.