Bgpt Paper Search
agent-skills-hub/agent-skills-hub
Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server.
Searches BGPT scientific papers by topic or DOI and retrieves claim-level evidence extracted from full text, including experiments, reported statistics, scope, limitations, and provenance.
$ npx skills add K-Dense-AI/scientific-agent-skills --skill bgpt-paper-search -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install K-Dense-AI/scientific-agent-skills bgpt-paper-search --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/K-Dense-AI/scientific-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/bgpt-paper-search .claude/skills/bgpt-paper-search && 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 "bgpt-paper-search" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/bgpt-paper-search into .claude/skills/bgpt-paper-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bgpt-paper-search", 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/K-Dense-AI/scientific-agent-skills/tree/main/skills/bgpt-paper-searchType 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 K-Dense-AI/scientific-agent-skills --skill bgpt-paper-search -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install K-Dense-AI/scientific-agent-skills bgpt-paper-search --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/bgpt-paper-search .agents/skills/bgpt-paper-search && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bgpt-paper-search" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/bgpt-paper-search into .agents/skills/bgpt-paper-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bgpt-paper-search", 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 K-Dense-AI/scientific-agent-skills --skill bgpt-paper-search -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install K-Dense-AI/scientific-agent-skills bgpt-paper-search --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/bgpt-paper-search .cursor/skills/bgpt-paper-search && 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 "bgpt-paper-search" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/bgpt-paper-search into .cursor/skills/bgpt-paper-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bgpt-paper-search", 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/K-Dense-AI/scientific-agent-skills.git --path skills/bgpt-paper-search--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 K-Dense-AI/scientific-agent-skills --skill bgpt-paper-search -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install K-Dense-AI/scientific-agent-skills bgpt-paper-search --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/bgpt-paper-search .gemini/skills/bgpt-paper-search && 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 "bgpt-paper-search" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/bgpt-paper-search into .gemini/skills/bgpt-paper-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bgpt-paper-search", 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 K-Dense-AI/scientific-agent-skills bgpt-paper-searchInstalls 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 K-Dense-AI/scientific-agent-skills --skill bgpt-paper-search -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/bgpt-paper-search .github/skills/bgpt-paper-search && 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 "bgpt-paper-search" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/bgpt-paper-search into .github/skills/bgpt-paper-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bgpt-paper-search", 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 K-Dense-AI/scientific-agent-skills --skill bgpt-paper-search -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install K-Dense-AI/scientific-agent-skills bgpt-paper-search --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/bgpt-paper-search .opencode/skills/bgpt-paper-search && 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 "bgpt-paper-search" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/bgpt-paper-search into .opencode/skills/bgpt-paper-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bgpt-paper-search", 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.
bgpt-paper-searchSearches BGPT scientific papers by topic or DOI and retrieves claim-level evidence extracted from full text, including experiments, reported statistics, scope, limitations, and provenance.
Bgpt Paper Search is an agent skill from K-Dense-AI/scientific-agent-skills. Searches BGPT scientific papers by topic or DOI and retrieves claim-level evidence extracted from full text, including experiments, reported statistics, scope, limitations, and provenance. Use for literature reviews, evidence synthesis, and finding experimental details beyond abstracts.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires a configured remote BGPT MCP connection and internet access to bgpt.pro. A stdio bridge additionally needs Node.js/npm. Paid access requires a BGPT…
It sits in Research & Science, covering Academic paper search, Literature review and Scientific writing. It works with Model Context Protocol. The repository describes itself as: Turn any AI agent into an AI Scientist. The 1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific… The licence is MIT.
Read from SKILL.md and the folder at commit 92ace75. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From 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:
bgpt.proAlso links to:
github.comregistry.npmjs.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.
Requires a configured remote BGPT MCP connection and internet access to bgpt.pro. A stdio bridge additionally needs Node.js/npm. Paid access requires a BGPT API key configured as an Authorization header.
From compatibility in the SKILL.md frontmatter.
Bgpt Paper Search loads about 2k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 886 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 K-Dense-AI/scientific-agent-skills at commit 92ace75, republished under its MIT licence (© K-Dense-AI). 886 words, ~1,976 tokens.
.claude/skills/bgpt-paper-search/SKILL.md (or your agent's skills folder).Use BGPT to find full-text-derived evidence for a research question or a known DOI. It returns extracted claims and their supporting experiments, rather than only bibliographic metadata. Use these records to build a traceable evidence table; they are not a complete systematic-review search or a validated risk-of-bias assessment.
Configure BGPT in the host before use; installing this skill does not register an MCP server. The provider supports both transports:
| Transport | Endpoint |
|---|---|
| Streamable HTTP | https://bgpt.pro/mcp/stream |
| SSE | https://bgpt.pro/mcp/sse |
Use the host's native remote-MCP configuration when supported. For a host that
uses mcpServers JSON and requires a local stdio bridge, this configuration uses
mcp-remote (adapt it to the host's actual settings format):
{
"mcpServers": {
"bgpt": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://bgpt.pro/mcp/stream", "--transport", "http-only"]
}
}
}The published bgpt-mcp 1.1.0 npm package is a thin SSE wrapper around
mcp-remote, not a local paper database. Its bundled README predates the current
tool contract and pricing. Prefer the native connection or configurable bridge
above. The linked BGPT GitHub repository was unavailable at review time; use
the current provider documentation and live tool schema.
Free access needs no key. For paid usage, configure Authorization: Bearer <key>
in the host's remote-server headers, using its credential storage. For the bridge,
mcp-remote supports --header-file
with a local credential file. Do not put api_key in an MCP tool call: neither
current tool declares that argument. Authenticate through the connection.
Discover the connected server's tools before calling them. The live BGPT 2.14.7 schema reviewed on 2026-09-30 exposes:
| Tool / argument | Contract |
|---|---|
search_papers.query | Required string. Use short English search terms. |
num_results | Integer, 1–100; default 16. Set it explicitly to control result use. |
days_back | Optional integer; papers published within the last N days. Omit for all dates. |
min_citations | Optional integer; minimum number of references cited by the paper, not citations received. |
study_type | Optional string: primary study, systematic review, meta-analysis, narrative review, protocol, dataset, commentary, or other. |
output_format | evidence (default), full, or legacy. |
lookup_paper.doi | Required DOI string; also accepts output_format. A found paper counts as one result. |
Use the filter arguments instead of putting years or filters into the query. No Boolean-query grammar, offset, page, or cursor is documented by this schema. A result limit is not pagination: do not invent continuation arguments or claim the search enumerates every matching paper. For broader coverage, run explicit question variants and deduplicate by DOI while retaining the query history.
Search example verified with one public result (invoke through the connected tool interface):
{"query": "CRISPR human cells", "num_results": 1, "output_format": "full"}Illustrative filtered search (filters were schema-checked, not executed):
{"query": "CRISPR delivery neurons", "num_results": 5, "days_back": 90, "study_type": "primary study", "output_format": "evidence"}For a paper already identified, call lookup_paper with its bare DOI rather
than hoping a title search returns that exact paper:
{"doi": "10.1016/j.ymeth.2015.10.014", "output_format": "evidence"}Do not interpret a connection, quota, or tool error as an empty evidence set. The provider publishes a result allowance, but no numeric request-rate limit on the reviewed page; avoid assuming unlimited request throughput.
Search returns an envelope with a results list and count; record the returned
query too, since the service may rewrite search terms. DOI lookup returns found
and a single result; handle not-found before reading it. Inspect the MCP
result for tool errors before interpreting the envelope.
evidence gives compact evidence records; empty optional fields may be absent.full adds legacy paper metadata to the evidence record.legacy requests the older paper metadata representation. Do not assume every
paper has all previously advertised fields or a quality score.The provider says evidence/full formats omit papers without extracted evidence.
However, the live smoke test returned a record with schema_version: "legacy",
extraction_status: "legacy", and an empty evidence_units list in both formats.
A returned record therefore does not guarantee claim-level provenance. An empty
search or unfound DOI also does not establish that the paper does not exist.
Retain doi, title, publication_date, and publication_name when available,
then inspect central_claim and evidence.evidence_units. Each unit links its
claim to an experiment, reported statistics, demonstrated scope, and provenance.
Keep the schema version: older records can have a different shape. Legacy full
metadata can contain nulls, numeric strings, and serialized text instead of
native lists; preserve the raw values and never execute them as code.
The provider documents V4 limits of five evidence units per record, two provenance
passages per unit, and 320 characters per passage. These are bounded extractions,
not the complete article. Check extraction_status, normalization_warnings,
and evidence.record_provenance, including truncation information, before synthesis.
For each extracted result, retain the DOI and source section, table, or figure. Verify sample sizes, units, experimental arms, reported statistics, and uncertainty against the paper before using them in a synthesis. Distinguish author-reported limitations from extraction-generated interpretations. Preserve contradictory or mixed evidence and demonstrated scope. If legacy quality scores are present, use them only as screening aids, not as a study-specific risk-of-bias assessment.
At the review date the provider advertises 50 free results per network, then $0.02 per returned result. A successful DOI lookup counts as one result; unfound lookups cost none. Recheck the allowance and pricing before a large batch. Do not repeatedly retry a quota-exhausted request.
Sources: provider setup, record formats, and billing, live MCP endpoint, published BGPT wrapper metadata, and bridge documentation. The tool schemas, one-result full search, matching evidence-format DOI lookup, and SSE handshake were checked with unauthenticated requests. The public search/lookup returned a legacy-schema record, not a V4 fixture. Paid authentication, filtered search behavior, and host-specific configuration were not tested.
© K-Dense-AI, 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/bgpt-paper-search of K-Dense-AI/scientific-agent-skills.
Open the folder on GitHubat commit 92ace75
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 K-Dense-AI/scientific-agent-skills, which our catalogue first saw on October 7, 2026.
Bgpt Paper Search 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 |
|---|---|---|---|---|---|---|
| Bgpt Paper Search this skillK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| Bgpt Paper Searchagent-skills-hub/agent-skills-hub | 112 | 3 repos | ~715 | Automated safety check: Notes | MIT | |
| Autonomous Researchfedericodeponte/opendraft | 507 | — | ~8.2k | Automated safety check: Pass | Apache-2.0 | |
| Arxiv MCP Serverblazickjp/arxiv-mcp-server | 3.2k | — | ~353 | Automated safety check: Pass | Apache-2.0 | |
| Research LitCurryTang/Amadeus | 176 | 5 repos | ~963 | Automated safety check: Notes | None | |
| Social Science Paper Writingfakerqwq/social-science-paper-writing-skill | 382 | — | ~7k | Automated safety check: Pass | None |
agent-skills-hub/agent-skills-hub
Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server.
federicodeponte/opendraft
An 18-agent pipeline that turns one topic line into a drafted research paper, literature review, or thesis chapter.
blazickjp/arxiv-mcp-server
A skill your agent uses when finding, comparing, reading, or monitoring arXiv papers, including requests for abstracts, citation graphs, original LaTeX, section-level technical details, or…
CurryTang/Amadeus
Search and analyze research papers, find related work, summarize key ideas.
fakerqwq/social-science-paper-writing-skill
Helps draft, diagnose, review and revise social science papers, from topic and research question to literature review, citation risks and pre-submission checks.
Ar9av/PaperOrchestra
Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log, LaTeX template, conference guidelines…
K-Dense-AI/scientific-agent-skills
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K-Dense-AI/scientific-agent-skills
Plans, runs, and documents analytical method validation, verification, or transfer studies under ICH Q2(R2)/Q14, USP, ICH M10, CLSI EP, or ISO/IEC 17025.
K-Dense-AI/scientific-agent-skills
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K-Dense-AI/scientific-agent-skills
Organizes scope, controlled documents, risk files and traceability into draft evidence for human review against ISO 13485, 14971, 17025 and 15189.
Works with
Categories
Searches BGPT scientific papers by topic or DOI and retrieves claim-level evidence extracted from full text, including experiments, reported statistics, scope, limitations, and provenance. Bgpt Paper Search is an agent skill from K-Dense-AI/scientific-agent-skills. Searches BGPT scientific papers by topic or DOI and retrieves claim-level evidence extracted from full text, including experiments, reported statistics, scope, limitations, and provenance.
Bgpt Paper Search fits situations like: literature reviews; evidence synthesis; finding experimental details beyond abstracts.
Run `npx skills add K-Dense-AI/scientific-agent-skills --skill bgpt-paper-search -a claude-code`. Or copy the skill folder (skills/bgpt-paper-search in K-Dense-AI/scientific-agent-skills) into .claude/skills/bgpt-paper-search in your project. Claude Code loads it when a task matches its description.
Run `npx skills add K-Dense-AI/scientific-agent-skills --skill bgpt-paper-search -a codex`. Or copy the skill folder (skills/bgpt-paper-search in K-Dense-AI/scientific-agent-skills) into .agents/skills/bgpt-paper-search 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 K-Dense-AI/scientific-agent-skills --skill bgpt-paper-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bgpt-paper-search, .gemini/skills/bgpt-paper-search, .github/skills/bgpt-paper-search and .opencode/skills/bgpt-paper-search in your project.
SKILL.md names no scripts, command-line tools or credentials: Bgpt Paper Search is instructions for the agent only. Our summary lists: Node.js. Compatibility (from SKILL.md): Requires a configured remote BGPT MCP connection and internet access to bgpt.pro. A stdio bridge additionally needs Node.js/npm. Paid access requires a BGPT API key configured as an Authorization header..
SKILL.md names 3 domains. In commands or code: bgpt.pro; the agent is likely to contact it when it follows the instructions. As links in the text: github.com and registry.npmjs.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.
Bgpt Paper Search is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 7.9k 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 Bgpt Paper Search: Bgpt Paper Search (agent-skills-hub/agent-skills-hub, 112 stars), Autonomous Research (federicodeponte/opendraft, 507 stars), Arxiv MCP Server (blazickjp/arxiv-mcp-server, 3.2k stars) and Research Lit (CurryTang/Amadeus, 176 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
K-Dense-AI (a GitHub organization) maintains it in K-Dense-AI/scientific-agent-skills, which has 48,215 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.
Source: K-Dense-AI/scientific-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.