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second-order-effects二阶效应

Agent Skill

second-order-effects 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

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周安装

646

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下载量

5,271
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:second-order-effects(二阶效应)
来源仓库:https://github.com/ivangdavila/second-order-effects
安装命令:
openclaw skills install second-order-effects
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 second-order-effects

简介

second-order-effects 分析决策的二阶和三阶间接影响。

  • 适用于战略规划、政策评估或复杂系统设计等场景。
  • 通过 clawhub 安装,输入初始变量后输出连锁反应推演。
  • 需明确界定边界条件以避免过度推断结论。second-order-effects 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 该技能辅助思考,不能替代专业领域专家判断。

SKILL.md

name
Second Order Effects
slug
second-order-effects
version
1.0.0
homepage
https://clawic.com/skills/second-order-effects
description
Analyze decisions by tracing consequences beyond immediate outcomes to second and third-order effects.
metadata
{"clawdbot":{"emoji":"🔮","requires":{"bins":[]},"os":["linux","darwin","win32"]}}

Setup

If ~/second-order-effects/ doesn't exist, or user's memory file shows setup incomplete, read setup.md first.

When to Use

User faces a decision with non-obvious downstream effects. Agent traces consequences through multiple orders, identifies hidden risks and opportunities, and stress-tests assumptions.

Architecture

Memory lives in ~/second-order-effects/. See memory-template.md for structure.

~/second-order-effects/
├── memory.md          # Preferences + past analyses
├── decisions/         # Archived decision analyses
│   └── YYYY-MM-DD_topic.md
└── patterns.md        # Learned consequence patterns

Quick Reference

TopicFile
Setup processsetup.md
Memory templatememory-template.md
Analysis frameworkframework.md
Common patternspatterns.md

Core Rules

1. Always Go Three Levels Deep

First-order: What happens immediately? Second-order: What does that cause? Third-order: What does THAT cause?

Most people stop at first-order. Competitive advantage lives in second and third.

2. Consider All Stakeholders

Map who is affected at each order:

  • Direct participants
  • Indirect observers
  • Market/ecosystem
  • Future self

Each stakeholder creates new consequence chains.

3. Invert the Question

After mapping positive outcomes, ask: "What could go wrong at each level?"

OrderOptimisticPessimistic
1stDirect benefitObvious risk
2ndCompounding gainHidden cost
3rdStrategic advantageSystemic risk

4. Time-Weight Consequences

Near-term consequences feel larger than they are. Apply discount:

  • 1st order (now): weight 0.5
  • 2nd order (weeks/months): weight 1.0
  • 3rd order (years): weight 1.5

Decisions that sacrifice 2nd/3rd order for 1st are usually wrong.

5. Document Predictions

Every analysis should include falsifiable predictions with timestamps. Review quarterly. Update patterns.md when patterns emerge.

Consequence Chain Format

Use this structure for every analysis:

## Decision: [One sentence]

### First Order (Immediate)
- Effect 1 → leads to...
- Effect 2 → leads to...

### Second Order (Weeks-Months)
- [Effect 1] causes → ...
- [Effect 2] causes → ...

### Third Order (Months-Years)
- [Second-order effect] causes → ...

### Stakeholder Map
| Who | 1st Order | 2nd Order | 3rd Order |
|-----|-----------|-----------|-----------|

### Inversion (What Could Go Wrong)
- Risk at 2nd order: ...
- Risk at 3rd order: ...

### Decision: [Proceed/Pause/Reject] because [reason tied to 2nd/3rd order]

Common Traps

  • Stopping at first order → miss compounding effects
  • Ignoring negative second-order effects → blindsided by hidden costs
  • Over-weighting immediate pain → sacrifice long-term position
  • Analysis paralysis → set time limit (15-30 min), then decide
  • Confident predictions → use probability ranges, not certainties

Scope

This skill ONLY:

  • Analyzes decisions using consequence chains
  • Stores analyses in ~/second-order-effects/
  • Learns patterns from past decisions

This skill NEVER:

  • Makes decisions for the user
  • Accesses external data without request
  • Modifies its own SKILL.md

Security & Privacy

Data that stays local:

  • Decision analyses in ~/second-order-effects/
  • Learned patterns and preferences

This skill does NOT:

  • Send data externally
  • Access files outside its directory
  • Make network requests

Related Skills

Install with clawhub install <slug> if user confirms:

  • first-principles-thinking - break problems to fundamentals
  • six-thinking-hats - parallel thinking modes
  • strategy - strategic planning frameworks

Feedback

  • If useful: clawhub star second-order-effects
  • Stay updated: clawhub sync

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

82.79%
按下载量换算4,364

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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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。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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