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complex-causal-analysis复杂的因果分析

Agent Skill

complex-causal-analysis 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

5,466

周安装

219

GitHub Stars

公开资料未说明

下载量

1,770
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:complex-causal-analysis(复杂的因果分析)
来源仓库:https://github.com/zmqnk/complex-causal-analysis
安装命令:
openclaw skills install complex-causal-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 complex-causal-analysis

简介

生成交互式 D3.js Sankey 风格的因果网络图,显示带有证据和可调整节点的分层因果关系。

SKILL.md

Complex Causal Analysis

An interactive causal network visualization skill for analyzing cause-and-effect relationships in complex systems. Creates beautiful D3.js-based Sankey-style diagrams showing how factors connect and propagate through systems.

Features

  • Hierarchical Layout: Top-to-bottom flow from root causes to final outcomes
  • Interactive Nodes: Click nodes to see details (causes, results, evidence)
  • Draggable Elements: Drag any node to reposition; connections follow automatically
  • Color-coded Strength: Green = strong (8-10), Yellow = medium (5-7) causal relationships
  • Directional Arrows: Small arrows in the middle of each link showing causation direction
  • Evidence Support: Each node can include historical or factual evidence
  • Fixed Sidebar: Stays on screen while zooming/panning the graph
  • Zoom & Pan: Mouse wheel to zoom, drag canvas to pan

Use Cases

  • Historical event analysis (dynasty collapses, wars, revolutions)
  • Business cause-and-effect mapping
  • Scientific phenomenon chains
  • Problem root cause analysis
  • Decision tree visualization

Input Format

Provide JSON with this structure:

{
  "title": "Topic Name",
  "nodes": [
    { "id": "Node Name", "layer": 3, "type": "Category", "desc": "Description", "color": "#hex" }
  ],
  "links": [
    { "source": "Cause", "target": "Effect", "strength": 8 }
  ]
}

Layer Conventions

  • Layer 3: Root causes / Deep factors
  • Layer 2: Intermediate factors
  • Layer 1: Direct causes
  • Layer 0: Final outcomes

Strength Guidelines

  • 8-10: Strong causal relationship
  • 5-7: Medium causal relationship
  • 1-4: Weak (exclude)

Example Prompt

Create a causal network visualization for [TOPIC].

Nodes:
- [list with id, layer, type, description]

Links:
- [list source → target with strength 1-10]

Requirements:
- Top-to-bottom layout
- Only medium (5-7) and strong (8-10) relationships
- Add small arrow in middle of each link
- Node details show causes and results
- Include evidence/support for each node

Output

Generates a standalone HTML file with:

  • Embedded D3.js (via CDN)
  • No external dependencies
  • Works in any modern browser
  • Mobile-responsive

Skill Activation

When you activate this skill, provide:

  1. Your topic/theme
  2. List of causal factors (nodes)
  3. Relationships between factors (links)

The skill will generate the JSON and produce a clickable HTML file you can open in your browser.

Technical Details

  • Built with D3.js v7
  • Bezier curves for smooth link paths
  • Force-directed initial positioning with manual adjustment
  • SVG-based rendering for crisp graphics
  • Dark theme with gradient background

Tags: visualization, d3, causal-network, history, analysis, interactive

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

92.45%
按下载量换算1,636

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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