Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add LeonChaoX/qinyan-academic-skills --skill qinyan-paper-searchgit clone --depth 1 https://github.com/LeonChaoX/qinyan-academic-skillsWrote 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.
[](https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/qinyan-paper-search)<a href="https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/qinyan-paper-search"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/qinyan-paper-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.
<a href="https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/qinyan-paper-search"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/qinyan-paper-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00114 | $0.01670 |
| Opus 5 | $0.00057 | $0.00835 |
| Sonnet 5 | $0.00023 | $0.00334 |
| Haiku 4.5 | $0.00011 | $0.00167 |
Grade A, and why
qinyan-paper-search scanned grade A with 1 finding 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. 环境中可用 `curl` 和 `python3` How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
沁言学术 - 文献检索
概述
本技能通过沁言学术OpenAPI，支持从 Google Scholar、万方(Wanfang)、PubMed、ArXiv 四大学术数据库进行文献检索。根据用户查询的语言和学科领域，智能选择最优检索策略。
学术诚信声明： 所有检索结果均来自真实学术数据库，严禁捏造或猜测文献信息。如检索结果不完整，应如实告知用户。
前置条件
使用前请确保：
- 已设置
QINYAN_API_KEY环境变量（前往 https://platform.qinyanai.com/ 申请） - 环境中可用
curl和python3
export QINYAN_API_KEY="your-api-key-here"
智能检索策略
收到用户的检索请求后，请按以下策略选择数据源：
语言策略
- 中文查询：优先使用 万方(Wanfang)，可同时检索 Google Scholar
- 英文查询：优先使用 Google Scholar，可同时检索其他英文数据库
学科策略
- 医学/生物医学/生命科学：优先使用 PubMed（不支持中文query，需翻译为英文）
- 计算机科学/理工/数学/物理：优先使用 ArXiv（不支持中文query，需翻译为英文）
- 社科/人文/综合：优先使用 Google Scholar 或 万方
重要提醒
- PubMed 和 ArXiv 不支持中文检索：如用户使用中文关键词且需检索这两个数据库，必须先将查询词翻译为准确的英文学术术语，再发起检索
- 可同时检索多个数据库以获取更全面的结果
- 向用户说明实际使用了哪些数据库进行检索
使用方法
通过 scripts/search.sh 脚本调用API，指定数据源和检索参数：
bash scripts/search.sh <source> '<json_payload>'
其中 <source> 为：google | wanfang | pubmed | arxiv
各数据库参数说明
Google Scholar
bash scripts/search.sh google '{"query": "deep learning", "max_results": 20, "offset": 0, "date_from": "2020", "date_to": "2025", "author": "Hinton", "journal": "Nature", "language": "english"}'
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
| query | string | 是 | 检索关键词，支持布尔表达式（1-300字符） |
| max_results | int | 否(默认20) | 返回数量，最大20 |
| offset | int | 否(默认0) | 分页偏移量 |
| date_from | string | 否 | 起始年份，如 "2020" |
| date_to | string | 否 | 截止年份，如 "2025" |
| author | string | 否 | 按作者筛选 |
| journal | string | 否 | 按期刊筛选 |
| language | string | 否 | "english" 或 "中文"，留空不限 |
万方(Wanfang)
bash scripts/search.sh wanfang '{"query": "人工智能 教育", "max_results": 50, "date_from": "2020", "date_to": "2025"}'
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
| query | string | 是 | 检索关键词，支持中英文（1-300字符） |
| max_results | int | 否(默认50) | 返回数量，1-100 |
| date_from | string | 否 | 起始年份 |
| date_to | string | 否 | 截止年份 |
PubMed
bash scripts/search.sh pubmed '{"query": "cancer immunotherapy", "max_results": 50, "offset": 0, "date_from": "2020", "date_to": "2025"}'
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
| query | string | 是 | 检索关键词，支持PubMed查询语法（1-300字符，仅英文） |
| max_results | int | 否(默认50) | 返回数量，1-200 |
| offset | int | 否(默认0) | 分页偏移量 |
| date_from | string | 否 | 起始日期，"YYYY" 或 "YYYYMMDD" |
| date_to | string | 否 | 截止日期，"YYYY" 或 "YYYYMMDD" |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 138 lines · 114 tokens per session scan A c4facc0c2956
qinyan-paper-search is a skill published in the GitHub repository LeonChaoX/qinyan-academic-skills (884 stars, last pushed 1mo ago), licensed MIT. It adds 114 tokens to every session and 1,670 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
academic-research
Nested swiss-knife reference for academic literature work — find papers, fetch full-text PDFs, trace citations, write LaTeX manuscripts. First action for any "get me this paper" request: python3 /scripts/fetchpaper.py — walks arXiv → Unpaywall → Europe PMC → CORE → in-house publisher-page extraction…
research-agent
Project-first Research pipeline with live gates, source/PDF evidence, claim boundaries, compute and publication controls; includes an optional PubMed/arXiv standard-library helper.
openalex
Use when the user asks about academic literature, research papers, scholarly works, authors, citations, institutions, journals, or any academic metadata. Trigger when users want to search for papers, find author profiles, track citations, discover related works, or explore academic topics. Also use when users mention…
paper-comic
A visual-explanation workflow for showing what a research paper's method does and how it works. It analyzes the paper, proposes cover, overview, and mechanism diagrams, and waits for the user's choices before generating them.
scopus-researcher
Expert academic researcher using the Scopus MCP. Finds papers, retrieves full abstracts, builds author profiles, analyzes citation impact, and constructs advanced Boolean queries across the Elsevier Scopus database. Activate when asked to search for academic papers, analyze research trends, find citations, profile…
lc_arxiv
A tool for searching arXiv, a public repository of research papers, mainly in science and technology.