双引擎论文搜索

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XiaoMaColtAI

双引擎论文搜索

使用 OpenAlex 与 AnySearch 两个真实数据源并行搜索、交叉匹配和输出可追溯论文元数据。

Overview

Publisher	XiaoMaColtAI
Repository	`math-modeling-skill`
Skill name	`双引擎论文搜索`
Stars	1.6K
Forks	84
Bundled files	Instructions only
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by XiaoMaColtAI on GitHub. Read the source before you install it.

Installation

Install the 双引擎论文搜索 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/XiaoMaColtAI/math-modeling-skill/tree/main/dsh-plugin/math-modeling-agent/skills/math-modeling/tools/paper_search

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/XiaoMaColtAI/math-modeling-skill.git /tmp/math-modeling-skill
mkdir -p .claude/skills
cp -r /tmp/math-modeling-skill/dsh-plugin/math-modeling-agent/skills/math-modeling/tools/paper_search .claude/skills/xiaomacoltai-5

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 双引擎论文搜索 in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads 双引擎论文搜索 on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so 双引擎论文搜索 is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

双引擎论文搜索

数据源

OpenAlex：结构化学术元数据。
AnySearch Academic：学术垂直搜索，支持当前 MCP Markdown 响应解析。

默认并行调用两个引擎。DOI 相同的记录直接交叉验证；无 DOI 时仅在标题高度相似且年份相容时合并。同一引擎中标题规范化后相同的预印本与正式出版记录也会折叠，并优先保留引用信息和元数据更完整的记录。交叉匹配结果、OpenAlex 独有结果和 AnySearch 独有结果分开输出。

融合时按查询词覆盖率过滤和重排，相关性优先于引用量，避免高被引但主题无关的论文挤占结果。包含多个专业术语时，候选文献至少命中两个有效查询词；这一阈值兼顾缺少摘要的元数据，不能代替人工核验。物理、材料和光学主题应组合使用材料名、机理名与模型名，例如 Sellmeier 4H-SiC Fabry-Perot；结果过少时逐步放宽查询，不直接接受无关结果。

使用

powershell
python scripts/hybrid_scholar.py --query "robust optimization vehicle routing" --limit 10 --json

如 AnySearch 需要鉴权：

powershell
$env:ANYSEARCH_API_KEY = "<密钥>"
python scripts/hybrid_scholar.py --query "analytic hierarchy process" --limit 8

诊断单个引擎时可用 --openalex-only 或 --anysearch-only；正式文献检索默认不得只运行一个引擎。

核验规则

搜索结果只用于发现候选文献。
引用前打开 DOI 或出版机构页面核对作者、题名、年份、期刊/会议、卷期页。
不把引用量当作正确性的证明。
不根据标题或摘要编造不存在的结论。
输出中保留 sources 和 cross_validated 状态。

Frequently asked questions

What does the 双引擎论文搜索 AI skill do?

使用 OpenAlex 与 AnySearch 两个真实数据源并行搜索、交叉匹配和输出可追溯论文元数据。

Why use 双引擎论文搜索 on TypingMind?

Because you install it once and use it with any model. 双引擎论文搜索 is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install 双引擎论文搜索 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/XiaoMaColtAI/math-modeling-skill/tree/main/dsh-plugin/math-modeling-agent/skills/math-modeling/tools/paper_search. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 双引擎论文搜索?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with 双引擎论文搜索?

As many as you like. As long as a model supports skills, you can use 双引擎论文搜索 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 双引擎论文搜索 AI skill free?

It is published on GitHub by XiaoMaColtAI. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

双引擎论文搜索

数据源

使用

核验规则

Frequently asked questions

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