academic-figures-mcp: Skill for Claude Code

.claude/skills/pubmed-quick-search/SKILL.md

pubmed-quick-search is a skill for Claude Code from u9401066/academic-figures-mcp. It costs 40 tokens per session (1,214 once invoked), scanned A, a copy of pubmed-quick-search, Apache-2.0.

A quick literature-search skill for finding research papers in PubMed and other scholarly databases. PubMed is a database of biomedical and health research.

In plain words
What is it for?
Use it to find articles, explore a research topic, filter by date or study type, and identify representative papers.
Why use it?
It provides an initial overview of whether a topic has been studied and which papers may matter, without manually searching several sources.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is u9401066/academic-figures-mcp's own configuration. It tells Claude Code how to work on academic-figures-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything academic-figures-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to u9401066/academic-figures-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/u9401066/academic-figures-mcp/main/.claude/skills/pubmed-quick-search/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/u9401066/academic-figures-mcp

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for pubmed-quick-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/u9401066/academic-figures-mcp/pubmed-quick-search/github.svg)](https://agentmods.dev/skills/u9401066/academic-figures-mcp/pubmed-quick-search)
Your own site
<a href="https://agentmods.dev/skills/u9401066/academic-figures-mcp/pubmed-quick-search"><img src="https://agentmods.dev/badge/skills/u9401066/academic-figures-mcp/pubmed-quick-search/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for pubmed-quick-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/u9401066/academic-figures-mcp/pubmed-quick-search"><img src="https://agentmods.dev/badge/skills/u9401066/academic-figures-mcp/pubmed-quick-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,214 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.01214
Opus 5 $0.00020 $0.00607
Sonnet 5 $0.00008 $0.00243
Haiku 4.5 $0.00004 $0.00121

Measured 11d ago against content hash f7d734f738d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

pubmed-quick-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to pubmed-quick-search — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/pubmed-quick-search/SKILL.md · 171 lines

How it starts

The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.

快速文獻搜尋

描述

用 unified_search 做第一輪文獻探索。它會自動分析查詢、選擇來源、合併去重,適合快速確認某個主題是否有研究、有哪些代表性文章,以及是否值得進一步做系統性搜尋。

觸發條件

  • 「幫我找...的論文」
  • 「有沒有關於...的文章」
  • 「先快速搜尋一下...」
  • 「search papers about...」
  • 「find articles on...」

核心工具

unified_search(
    query="remimazolam ICU sedation",
    limit=10,
    ranking="balanced",
    output_format="markdown"
)

參數重點

  • query: 自然語言、Boolean 查詢、或包含 ICD 代碼的查詢都可以
  • limit: 每個來源最多取回幾篇
  • sources: 可指定 pubmed,openalex,semantic_scholar,europe_pmc,crossref
  • ranking: balanced, impact, recency, quality
  • filters: 以逗號分隔的篩選條件
  • options: 額外旗標,例如預印本、是否深搜等

快速搜尋時,優先使用自然語言 + filters。只有在需要精細組裝查詢時,才切到系統性搜尋 skill。


最常用範例

1. 一般主題搜尋

unified_search(query="remimazolam ICU sedation", limit=10)

2. 最近幾年的臨床研究

unified_search(
    query="diabetes treatment",
    limit=20,
    ranking="quality",
    filters="year:2020-2025, species:humans, clinical:therapy"
)

3. 看最新研究

unified_search(
    query="lung cancer liquid biopsy",
    limit=15,
    ranking="recency"
)

4. 看高影響力文獻

unified_search(
    query="CAR-T therapy lymphoma",
    limit=15,
    ranking="impact"
)

5. 限定來源

unified_search(
    query="CRISPR gene therapy",
    sources="pubmed,openalex,europe_pmc",
    limit=20
)

6. 納入預印本

unified_search(
    query="COVID-19 vaccine efficacy",
    limit=20,
    options="preprints"
)

filters 速查

filters="year:2020-2025, age:aged, sex:female, species:humans, lang:english, clinical:therapy"

可用欄位

  • year: 2020-2025, 2020-, -2025, 2024
  • age: newborn, infant, preschool, child, adolescent, young_adult, adult, middle_aged, aged, aged_80
  • sex: male, female
  • species: humans, animals
  • lang: english, chinese
  • clinical: therapy, therapy_narrow, diagnosis, diagnosis_narrow, prognosis, etiology

options 速查

options="preprints, shallow"

Read the full file on GitHub · 171 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 171 lines · 40 tokens per session scan A f7d734f738d9

Subscribe to this mod's changes

pubmed-quick-search is a skill published in the GitHub repository u9401066/academic-figures-mcp (0 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 40 tokens to every session and 1,214 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to pubmed-quick-search, differing in 2 lines, and is treated as a copy.

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