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-topic-analysisgit 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-topic-analysis)<a href="https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/qinyan-topic-analysis"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/qinyan-topic-analysis/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-topic-analysis"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/qinyan-topic-analysis.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 | $0.00097 | $0.01241 |
| Opus 5 | $0.00048 | $0.00620 |
| Sonnet 5 | $0.00019 | $0.00248 |
| Haiku 4.5 | $0.00010 | $0.00124 |
Grade A, and why
qinyan-topic-analysis 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
沁言学术 - AI选题分析
概述
本技能通过沁言学术OpenAPI大量检索相关文献，结合AI分析能力，为科研人员提供系统化的选题建议。分析涵盖选题方向、研究价值、研究内容概述、研究难点分析以及相关文献推荐。
学术诚信声明： 所有选题建议基于真实检索到的文献进行分析，不捏造文献或研究趋势。建议仅供参考，最终选题决策应结合导师意见和个人研究兴趣。
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"
工作流程
第一步：大量检索相关文献
根据用户提供的研究领域/方向，使用 scripts/search.sh 从多个数据库大量检索文献。
检索策略：
- 中文领域：优先万方 + Google Scholar
- 英文领域：优先 Google Scholar + ArXiv/PubMed
- 医学类：必须检索 PubMed（中文query需翻译为英文）
- 理工计算机类：必须检索 ArXiv（中文query需翻译为英文）
- 每个相关数据库至少检索50-100条文献，确保充分覆盖
# 检索示例
bash scripts/search.sh google '{"query": "large language models education", "max_results": 20, "date_from": "2022"}'
bash scripts/search.sh arxiv '{"query": "large language models education", "max_results": 50, "date_from": "2022"}'
bash scripts/search.sh wanfang '{"query": "大语言模型 教育应用", "max_results": 50, "date_from": "2022"}'
搜索脚本参数格式同文献检索skill：
| 数据源 | 命令 | 特殊说明 |
|---|---|---|
| Google Scholar | bash scripts/search.sh google '<json>' |
单次最多20条 |
| 万方 | bash scripts/search.sh wanfang '<json>' |
支持中文，1-100条 |
| PubMed | bash scripts/search.sh pubmed '<json>' |
仅英文，1-200条 |
| ArXiv | bash scripts/search.sh arxiv '<json>' |
仅英文，1-100条 |
第二步：文献分析与选题生成
基于检索到的大量文献，分析研究现状、热点趋势、研究空白，生成选题建议。
第三步：输出结构化选题建议
输出格式
对每个推荐的选题，按以下结构输出：
选题建议模板
## 选题方向 [序号]：[选题名称]
### 选题方向
[具体的研究方向和切入点描述]
### 研究价值
[该选题的理论价值和实践意义，为什么值得研究]
### 研究内容概述
[该选题需要研究的主要内容、技术路线或方法框架]
### 研究难点分析
[该选题可能面临的主要技术难点、数据获取困难、方法挑战等]
### 相关文献
[列出5-10篇与该选题最相关的文献，标注来源]
- [1] 作者. 标题. 期刊/会议, 年份. DOI/URL
- [2] ...
分析要求
- 选题数量：根据文献覆盖面，推荐 3-5 个有差异化的选题方向
- 选题质量：
- 避免过于宽泛的选题（如"深度学习研究"）
- 避免过于狭窄的选题（如"某个特定数据集上的某个指标提升"）
- 选题应具有创新性，填补已有研究的空白
- 选题应具有可行性，在合理的时间和资源下可完成
- 文献支撑：每个选题的相关文献必须来自实际检索结果，不得捏造
- 趋势分析：结合文献的发表时间分布，分析研究趋势
- 差异化：不同选题之间应有明显差异，覆盖不同的研究视角
示例工作流
用户: 我是计算机专业硕士研究生，想研究大语言模型在教育领域的应用，帮我分析选题
步骤1: 检索文献
- ArXiv: "large language models education" (50条)
- Google Scholar: "LLM education application" (20条)
- 万方: "大语言模型 教育" (50条)
步骤2: 分析文献趋势和研究空白
步骤3: 输出3-5个差异化选题建议，每个包含完整的五要素分析
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 · 112 lines · 97 tokens per session scan A 7e5c8666ce48
qinyan-topic-analysis is a skill published in the GitHub repository LeonChaoX/qinyan-academic-skills (884 stars, last pushed 1mo ago), licensed MIT. It adds 97 tokens to every session and 1,241 once invoked, about $0.0005 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
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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.