Building With Openmed
maziyarpanahi/openmed
Orient and bootstrap any project that uses OpenMed, the on-device clinical and biomedical NLP library, for named-entity recognition, PHI de-identification, FHIR export, and evaluation.
Access PMC Open Access articles in BioC format for text mining
$ npx skills add wentorai/research-plugins --skill bioc-pmc-api -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wentorai/research-plugins bioc-pmc-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/bioc-pmc-api .claude/skills/bioc-pmc-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 "bioc-pmc-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/bioc-pmc-api into .claude/skills/bioc-pmc-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioc-pmc-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/bioc-pmc-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 bioc-pmc-api -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wentorai/research-plugins bioc-pmc-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/bioc-pmc-api .agents/skills/bioc-pmc-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 "bioc-pmc-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/bioc-pmc-api into .agents/skills/bioc-pmc-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioc-pmc-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 bioc-pmc-api -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wentorai/research-plugins bioc-pmc-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/bioc-pmc-api .cursor/skills/bioc-pmc-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 "bioc-pmc-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/bioc-pmc-api into .cursor/skills/bioc-pmc-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioc-pmc-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/bioc-pmc-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 bioc-pmc-api -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wentorai/research-plugins bioc-pmc-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/bioc-pmc-api .gemini/skills/bioc-pmc-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 "bioc-pmc-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/bioc-pmc-api into .gemini/skills/bioc-pmc-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioc-pmc-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 bioc-pmc-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 bioc-pmc-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/bioc-pmc-api .github/skills/bioc-pmc-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 "bioc-pmc-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/bioc-pmc-api into .github/skills/bioc-pmc-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioc-pmc-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 bioc-pmc-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 bioc-pmc-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/bioc-pmc-api .opencode/skills/bioc-pmc-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 "bioc-pmc-api" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/literature/fulltext/bioc-pmc-api into .opencode/skills/bioc-pmc-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bioc-pmc-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.
bioc-pmc-apiAccess PMC Open Access articles in BioC format for text mining
Bioc Pmc API is an agent skill from wentorai/research-plugins. Access PMC Open Access articles in BioC format for text mining
Its SKILL.md is about 1.2k 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 AI & LLM Engineering, covering Natural language processing. 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:
ncbi.nlm.nih.govAlso links to:
bioc.sourceforge.netFrom 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.
Bioc Pmc API loads about 1.2k 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, ~1,160 tokens.
.claude/skills/bioc-pmc-api/SKILL.md (or your agent's skills folder).The BioC API provides full-text articles from PubMed Central (PMC) in the BioC format — a simplified XML/JSON structure designed specifically for biomedical text mining. Unlike the standard PMC OAI service (which returns JATS XML), BioC pre-segments text into passages with offset annotations, making it ideal for NLP pipelines, named entity recognition, relation extraction, and other text mining tasks. Free, no authentication required.
https://www.ncbi.nlm.nih.gov/research/bionlp/RESTful/pmcoa.cgi/BioC_json/{PMCID}/unicode# JSON format (recommended for programmatic use)
curl "https://www.ncbi.nlm.nih.gov/research/bionlp/RESTful/pmcoa.cgi/BioC_json/PMC6267067/unicode"
# XML format
curl "https://www.ncbi.nlm.nih.gov/research/bionlp/RESTful/pmcoa.cgi/BioC_xml/PMC6267067/unicode"
# ASCII encoding (strips non-ASCII characters)
curl "https://www.ncbi.nlm.nih.gov/research/bionlp/RESTful/pmcoa.cgi/BioC_json/PMC6267067/ascii"# Convert PMID to PMCID first, then query
curl "https://www.ncbi.nlm.nih.gov/pmc/utils/idconv/v1.0/?ids=29346600&format=json"
# Returns: {"records": [{"pmid": "29346600", "pmcid": "PMC6267067", ...}]}{
"source": "PMC",
"date": "2024-01-15",
"key": "collection.key",
"documents": [
{
"id": "PMC6267067",
"passages": [
{
"infons": {
"section_type": "TITLE",
"type": "title"
},
"offset": 0,
"text": "Article Title Here"
},
{
"infons": {
"section_type": "ABSTRACT",
"type": "abstract"
},
"offset": 25,
"text": "Background: This study investigates..."
},
{
"infons": {
"section_type": "INTRO",
"type": "paragraph"
},
"offset": 350,
"text": "The introduction text..."
}
]
}
]
}Key fields:
passages[].infons.section_type: TITLE, ABSTRACT, INTRO, METHODS, RESULTS, DISCUSS, CONCL, REF, FIG, TABLEpassages[].offset: Character offset from document startpassages[].text: Plain text content of the passageimport requests
import json
def get_bioc_article(pmcid: str, fmt: str = "json") -> dict:
"""Fetch a PMC article in BioC format."""
url = f"https://www.ncbi.nlm.nih.gov/research/bionlp/RESTful/pmcoa.cgi/BioC_{fmt}/{pmcid}/unicode"
resp = requests.get(url, timeout=30)
resp.raise_for_status()
return resp.json() if fmt == "json" else resp.text
def extract_sections(bioc_doc: dict) -> dict:
"""Extract text organized by section type."""
sections = {}
for doc in bioc_doc.get("documents", []):
for passage in doc.get("passages", []):
section = passage.get("infons", {}).get("section_type", "OTHER")
text = passage.get("text", "")
sections.setdefault(section, []).append(text)
return {k: "\n".join(v) for k, v in sections.items()}
# Example: fetch and parse
article = get_bioc_article("PMC6267067")
sections = extract_sections(article)
print(f"Title: {sections.get('TITLE', 'N/A')}")
print(f"Abstract length: {len(sections.get('ABSTRACT', ''))} chars")
print(f"Sections found: {list(sections.keys())}")tool=your_tool_name&email=your@email.com to requests for priority queueWhen using this API in publications, cite:
Comeau DC, Wei CH, Islamaj Dogan R, Lu Z. PMC text mining subset in BioC: about 3 million full text articles and growing. Bioinformatics, btz070, 2019.
© 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/bioc-pmc-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.
Bioc Pmc 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 |
|---|---|---|---|---|---|---|
| Bioc Pmc API this skillwentorai/research-plugins | 298 | 1 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Building With Openmedmaziyarpanahi/openmed | 5.5k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Annual Meeting Of The Association For Computational Linguisticsfranklee16/academic-research-skills | 223 | 1 repos | ~1.9k | Automated safety check: Pass | None | |
| Bioconductor VissebioMate-AI/biomate-bioconductor-kb | 804 | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Hugging Face TokenizersOrchestra-Research/AI-Research-SKILLs | 13k | 6 repos | ~3.4k | Automated safety check: Pass | MIT | |
| OpenMed Model Card Writermaziyarpanahi/openmed | 5.5k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 |
maziyarpanahi/openmed
Orient and bootstrap any project that uses OpenMed, the on-device clinical and biomedical NLP library, for named-entity recognition, PHI de-identification, FHIR export, and evaluation.
franklee16/academic-research-skills
A skill your agent uses when targeting Annual Meeting of the Association for Computational Linguistics (ACL) or deciding whether a computer-science manuscript fits this venue.
bioMate-AI/biomate-bioconductor-kb
This package enables the interpretation and analysis of results from a gene set enrichment analysis using network-based and text-mining approaches.
Orchestra-Research/AI-Research-SKILLs
Shows how to load, train and use fast Hugging Face tokenizers, with BPE, WordPiece and Unigram models, padding, truncation and alignment tracking.
maziyarpanahi/openmed
Fills in a model card for an OpenMed clinical NER or de-identification model from its evaluation reports: intended use, metrics, subgroups and limitations.
ModelCloud/GPTQModel
Diagnose and correct GPT-QModel tokenizer initialization, tokenization normalization, special-token handling, prompt rendering, and chat-template problems.
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 PMC Open Access articles in BioC format for text mining. Bioc Pmc API is an agent skill from wentorai/research-plugins.
Bioc Pmc API fits situations like: tasks that involve Natural language processing.
Run `npx skills add wentorai/research-plugins --skill bioc-pmc-api -a claude-code`. Or copy the skill folder (skills/literature/fulltext/bioc-pmc-api in wentorai/research-plugins) into .claude/skills/bioc-pmc-api in your project. Claude Code loads it when a task matches its description.
Run `npx skills add wentorai/research-plugins --skill bioc-pmc-api -a codex`. Or copy the skill folder (skills/literature/fulltext/bioc-pmc-api in wentorai/research-plugins) into .agents/skills/bioc-pmc-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 bioc-pmc-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/bioc-pmc-api, .gemini/skills/bioc-pmc-api, .github/skills/bioc-pmc-api and .opencode/skills/bioc-pmc-api in your project.
Going by SKILL.md and its folder, Bioc Pmc API needs the command-line tools its instructions call (curl). Our summary lists: Python 3.
SKILL.md names 2 domains. In commands or code: ncbi.nlm.nih.gov; the agent is likely to contact it when it follows the instructions. As links in the text: bioc.sourceforge.net. 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.
Bioc Pmc 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 1.2k tokens (SKILL.md is roughly 4.6k 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 Bioc Pmc API: Building With Openmed (maziyarpanahi/openmed, 5.5k stars), Annual Meeting Of The Association For Computational Linguistics (franklee16/academic-research-skills, 223 stars), Bioconductor Visse (bioMate-AI/biomate-bioconductor-kb, 804 stars) and Hugging Face Tokenizers (Orchestra-Research/AI-Research-SKILLs, 13k 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.