Agent skill

Bgpt Paper Search

by K-Dense-AI in 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.

MITAuto-check passedResearch & Science

Install Bgpt Paper Search

skills CLI
$ npx skills add K-Dense-AI/scientific-agent-skills --skill bgpt-paper-search -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install K-Dense-AI/scientific-agent-skills bgpt-paper-search --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
bgpt-paper-search
GitHub stars
48k
Used in
1 other repo
Token cost
~2k tokens
SKILL.md length
886 words
Files
1
Skills in repo
153
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Literature reviews
  • SKILL.md covers When to use, Connect, Search and DOI lookup and Read the result contract, plus 2 more sections
  • Reaches bgpt.pro
  • Evidence synthesis

What it does

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.

When your agent uses it

  • Literature reviews
  • Evidence synthesis
  • Finding experimental details beyond abstracts

Example prompts

  • “Use the bgpt-paper-search skill to search BGPT scientific papers by topic or DOI and retrieves claim-level evidence extracted from full text…”
  • “/bgpt-paper-search”

Requirements

  • 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.

What it can do on your machine

Read from SKILL.md and the folder at commit 92ace75. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • bgpt.pro

    Also links to:

    • github.com
    • registry.npmjs.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    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.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~2k

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.

Safety

Auto-check passed

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.

SKILL.md

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.

Download SKILL.mdSave it as .claude/skills/bgpt-paper-search/SKILL.md (or your agent's skills folder).
name
bgpt-paper-search
description
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.
compatibility
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.
license
MIT
metadata.version
1.3
metadata.skill-author
BGPT
metadata.website
https://bgpt.pro/mcp/
metadata.last-reviewed
2026-09-30

When to use

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.

Connect

Configure BGPT in the host before use; installing this skill does not register an MCP server. The provider supports both transports:

TransportEndpoint
Streamable HTTPhttps://bgpt.pro/mcp/stream
SSEhttps://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):

json
{
  "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.

Search and DOI lookup

Discover the connected server's tools before calling them. The live BGPT 2.14.7 schema reviewed on 2026-09-30 exposes:

Tool / argumentContract
search_papers.queryRequired string. Use short English search terms.
num_resultsInteger, 1–100; default 16. Set it explicitly to control result use.
days_backOptional integer; papers published within the last N days. Omit for all dates.
min_citationsOptional integer; minimum number of references cited by the paper, not citations received.
study_typeOptional string: primary study, systematic review, meta-analysis, narrative review, protocol, dataset, commentary, or other.
output_formatevidence (default), full, or legacy.
lookup_paper.doiRequired 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):

json
{"query": "CRISPR human cells", "num_results": 1, "output_format": "full"}

Illustrative filtered search (filters were schema-checked, not executed):

json
{"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:

json
{"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.

Show full SKILL.md (421 more words)Show less

Read the result contract

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.

Evidence checks

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.

Allowance and review scope

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

Files

Just SKILL.md in skills/bgpt-paper-search of K-Dense-AI/scientific-agent-skills.

Open the folder on GitHubat commit 92ace75

Used in 1 other repository

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.

Compare with similar skills

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.

Bgpt Paper Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bgpt Paper Search this skillK-Dense-AI/scientific-agent-skills48k1 repos~2kAutomated safety check: PassMIT
Bgpt Paper Searchagent-skills-hub/agent-skills-hub1123 repos~715Automated safety check: NotesMIT
Autonomous Researchfedericodeponte/opendraft507—~8.2kAutomated safety check: PassApache-2.0
Arxiv MCP Serverblazickjp/arxiv-mcp-server3.2k—~353Automated safety check: PassApache-2.0
Research LitCurryTang/Amadeus1765 repos~963Automated safety check: NotesNone
Social Science Paper Writingfakerqwq/social-science-paper-writing-skill382—~7kAutomated safety check: PassNone

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Questions about Bgpt Paper Search

What does Bgpt Paper Search do?

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.

When should I use Bgpt Paper Search?

Bgpt Paper Search fits situations like: literature reviews; evidence synthesis; finding experimental details beyond abstracts.

How do I install Bgpt Paper Search in Claude Code?

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.

How do I install Bgpt Paper Search in Codex?

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.

Can I use Bgpt Paper Search in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Bgpt Paper Search need to run?

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..

Does Bgpt Paper Search access the network?

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.

Is Bgpt Paper Search safe to install?

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.

What licence does Bgpt Paper Search use?

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.

How many tokens does Bgpt Paper Search use?

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.

What are the alternatives to Bgpt Paper Search?

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.

Who maintains Bgpt Paper Search?

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.