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academic-research学术研究

Agent Skill

academic-research 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

238

周安装

10

GitHub Stars

1

下载量

83
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:academic-research(学术研究)
来源仓库:https://github.com/chrislemke/stoffy
仓库路径:skills/academic-research
安装命令:
npx skills add https://github.com/chrislemke/stoffy --skill academic-research
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/chrislemke/stoffy --skill academic-research

简介

academic-research 专为哲学、神经科学、认知科学和理论计算机科学领域设计的学术研究工具。

  • 模仿 Claude.ai Research 功能,支持快速检索、深度分析和学术资料整合。
  • 根据查询范围选择资料来源数量,可配置为简要概览或详尽文献综述模式。
  • 搜索策略聚焦权威学术资源,确保信息准确性和专业性,适合严谨研究场景。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Academic Research Skill

Conduct comprehensive academic research mimicking Claude.ai's Research feature, specialized for philosophy, neuroscience, cognitive science, and theoretical CS.

Research Workflow

1. Scope the Query

Before searching, clarify:

  • Domain: Philosophy / Neuroscience / Cognitive Science / Theoretical CS
  • Depth: Quick (3-5 sources) | Standard (10-15) | Deep (20+)
  • Focus: Empirical findings / Theoretical frameworks / Historical development / Current debates

If unclear, ask one clarifying question before proceeding.

2. Search Strategy

Use web search with academic-focused queries. Search in waves:

Wave 1 - Core sources:

  • "[topic]" site:semanticscholar.org
  • "[topic]" site:arxiv.org
  • "[topic]" site:philpapers.org (for philosophy)
  • "[topic]" site:ncbi.nlm.nih.gov (for neuroscience)

Wave 2 - Expand with:

  • "[topic]" review paper OR survey
  • "[topic]" [key author name]
  • "[topic]" [specific journal from references/domains.md]

Wave 3 - Follow citations:

  • Search for highly-cited papers found in Wave 1-2
  • Look for "cited by" to find recent work building on seminal papers

3. Source Evaluation

For each source, extract and assess:

  • Relevance (0-10): How directly does it address the query?
  • Authority: Peer-reviewed? Citation count? Author credentials?
  • Recency: Prioritize last 5 years unless historical context needed
  • Type: Empirical study / Review / Theoretical / Commentary

Flag preprints (arXiv, bioRxiv) as non-peer-reviewed.

4. Triangulation

Cross-reference findings to identify:

  • Consensus: Claims supported by multiple independent sources
  • Debates: Conflicting findings or interpretations
  • Gaps: Underexplored questions
  • Key figures: Most-cited authors and seminal works

5. Synthesis Output

Structure the report as:

# Research Report: [Topic]

## Summary
[2-3 paragraph executive summary]

## Key Findings
1. [Finding with citation]
2. [Finding with citation]
...

## Theoretical Landscape
[Major positions, schools of thought, competing frameworks]

## Open Questions
[Active debates, unresolved issues, research gaps]

## Recommended Reading
- [Paper 1] - [1-sentence annotation]
- [Paper 2] - [1-sentence annotation]
...

## References
[Full citations, preferably with DOIs/URLs]

Domain-Specific Guidance

See references/domains.md for:

  • Key journals and venues per domain
  • Important authors and research groups
  • Domain-specific terminology
  • Relevant arXiv categories

Citation Format

Default: APA 7th edition. Include:

  • DOI when available (as URL: https://doi.org/...)
  • arXiv ID for preprints: arXiv:XXXX.XXXXX
  • Direct URL to paper when no DOI

Quality Standards

  • Never cite a paper without verifying it exists via search
  • Distinguish peer-reviewed from preprints
  • Note when findings are contested or preliminary
  • Include publication year for temporal context
  • Prefer primary sources over secondary summaries

Subagent Mode

When invoked programmatically, return structured data:

{
  "query": "original research question",
  "domain": "identified domain",
  "sources_found": 15,
  "key_findings": ["finding 1", "finding 2"],
  "consensus_level": "high|moderate|low|contested",
  "top_papers": [
    {"title": "...", "authors": "...", "year": 2023, "url": "..."}
  ],
  "research_gaps": ["gap 1", "gap 2"]
}

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.18%
按下载量换算30

Claude

33.66%
按下载量换算28

Cursor

18.2%
按下载量换算15

Gemini CLI

9.94%
按下载量换算8

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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