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deep-article-analysis深度文章分析

Agent Skill

deep-article-analysis 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

1,058

周安装

45

GitHub Stars

公开资料未说明

下载量

371
OpenClaw

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

MIT-0

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:deep-article-analysis(深度文章分析)
来源仓库:https://github.com/openlark/deep-article-analysis
安装命令:
openclaw skills install deep-article-analysis
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install deep-article-analysis

简介

用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词快速定位候选结果时使用。

  • 适用于文章深入分析解读场景。
  • 可提取核心观点、关键数据和深刻见解。
  • 安装前建议确认权限范围和维护状态。
  • deep-article-analysis 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
deep-article-analysis
description
Conduct in-depth analysis and interpretation of articles, extracting core viewpoints, key data, and deep insights.

Deep Article Analysis

Overview

Provides systematic article analysis methods and thinking tools to help extract core viewpoints, key data, and deep insights from complex articles. Comprehensively applies 10+ thinking models: SCQA Framework, 5W2H Analysis, First Principles, Six Thinking Hats, Critical Thinking, Systems Thinking, Reverse Thinking, Mental Models, Comparison Matrix, Inversion Thinking, and more. Suitable for deeply understanding complex articles, analyzing argumentative logic, and extracting actionable insights from reading materials.

Use Cases

Article analysis, report interpretation, argument evaluation, deep reading, insight extraction.

Thinking Model Overview

The skill is accompanied by reference documents for 10+ thinking models:

ModelPurposeWhen to Use
SCQA FrameworkGrasp the logical thread of the articleWhen needing to clarify article structure
5W2H AnalysisComprehensive information scanningWhen systematically gathering information
First PrinciplesTrace back to the sourceWhen needing to understand the essence
Six Thinking HatsAll-around evaluationWhen examining from multiple perspectives
Critical ThinkingArgument assessmentWhen evaluating reliability
Systems ThinkingComplex system analysisWhen analyzing interrelated factors
Reverse ThinkingIdentify weaknessesWhen questioning or refining arguments
Mental ModelsFramework examinationWhen cognitive framework analysis is needed
Comparison MatrixOption comparisonWhen comparative analysis is needed
Inversion ThinkingRisk preventionWhen preventing failure

Full index: references/index.md

Core Workflow

1. Quick Scan (5W2H)

First, comprehensively scan the basic information of the article using 5W2H:

  • What: Core topic / event of the article
  • Why: Causes and background
  • Who: Individuals and audience involved
  • When: Timeline
  • Where: Location / platform / scenario
  • How: Methods / mechanisms / processes
  • How much: Data / degree / scale

2. Structure Extraction (SCQA)

Grasp the logic of the article using the SCQA framework:

  • Situation: Background context
  • Complication: Core conflict / problem
  • Question: Key question
  • Answer: Author's viewpoint / solution

3. In-Depth Analysis (Select appropriate models)

Argument Evaluation → Critical Thinking

  • Is the evidence sufficient?
  • Is the logic valid?
  • Are there any logical fallacies?

Essential Inquiry → First Principles

  • What is the root cause?
  • Are the underlying assumptions reliable?
  • Is there a simpler explanation?

Comprehensive Examination → Six Thinking Hats

  • What are the facts? (White Hat)
  • What are the intuitive feelings? (Red Hat)
  • Where are the risks? (Black Hat)
  • What are the value opportunities? (Yellow Hat)
  • What are the innovative possibilities? (Green Hat)

Systemic Interconnection → Systems Thinking

  • Elements and relationships?
  • Feedback loops?
  • Time delays?

Risk Prevention → Inversion Thinking

  • How can we ensure failure?
  • What is the greatest risk?
  • How can we avoid it?

4. Insight Extraction

Extract from the analysis:

  • Core Viewpoint: Summarize the author's claim in one sentence
  • Key Data: Important figures and facts
  • Deep Insights: Valuable insights and inspirations
  • Actionable Takeaways: Advice that can guide action
  • Key Questions: Issues worth further consideration

Output Format

The analysis report is recommended to include:

## Core Viewpoint
[One-sentence summary]

## Key Data
- [Data point 1]
- [Data point 2]

## Deep Insights
### Insight 1
[Specific analysis]

### Insight 2
[Specific analysis]

## Thinking Models Applied
- [List of models used]
- [Key findings from each model]

## Questions for Further Exploration
[Issues worth further discussion]

Resources

references/

Directory of thinking model reference documents, containing detailed guides for 10 thinking models:

  • scqa.md - SCQA Framework
  • 5w2h.md - 5W2H Analysis
  • first-principles.md - First Principles
  • six-thinking-hats.md - Six Thinking Hats
  • critical-thinking.md - Critical Thinking
  • systems-thinking.md - Systems Thinking
  • reverse-thinking.md - Reverse Thinking
  • mental-models.md - Mental Models
  • comparison-matrix.md - Comparison Matrix
  • inversion-thinking.md - Inversion Thinking
  • index.md - Navigation Index

Selectively load the corresponding reference documents based on analysis needs.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

96.45%
按下载量换算358

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。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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