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Agent Skill · 研究检索

reducing-entropy(减少熵)

reducing-entropy 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。

reducing-entropy 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 5,320。

总安装 26,574周安装 1,075GitHub Stars 公开资料未说明下载 8,342核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.1.0

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:reducing-entropy(减少熵)
来源仓库:https://github.com/wpank/reducing-entropy
安装命令:
openclaw skills install reducing-entropy
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 reducing-entropy

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

通过无情的简化来最小化总代码库大小。通过最终代码量而不是工作量来衡量成功。偏向于删除。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install reducing-entropy;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

reducing-entropy 怎么安装?

在终端执行 openclaw skills install reducing-entropy。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

reducing-entropy 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

reducing-entropy 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

reducing-entropy 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

reducing-entropy 用的人多吗?

公开数据是累计安装 26,574 次,近一周安装 1,075 次,下载 8,342 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

reducing-entropy 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
reducing-entropy

减少熵 · 本页

26,574—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
reducing-entropy
model
reasoning
category
testing
description
Minimize total codebase size through ruthless simplification. Measure success by final code amount, not effort. Bias toward deletion.
version
1.0
keywords
[simplification, deletion, refactoring, complexity, entropy, YAGNI, less code, minimalism]
activation
manual # Only activate when explicitly requested

Reducing Entropy

More code begets more code. Entropy accumulates. This skill biases toward the smallest possible codebase.

WHAT This Skill Does

Provides a mindset and checklist for:

  • Evaluating whether changes reduce or increase total code
  • Finding opportunities to delete code
  • Resisting premature abstraction
  • Choosing the simplest solution that solves the problem

Core question: "What does the codebase look like *after*?"

WHEN To Use

Activate this skill when:

  • Refactoring code and considering options
  • Adding a new feature and choosing implementation approach
  • Reviewing PRs to challenge unnecessary complexity
  • Paying down tech debt and prioritizing what to simplify
  • User explicitly asks for code reduction or simplification

The Goal

The goal is less total code in the final codebase — not less code to write right now.

ScenarioVerdict
Writing 50 lines that delete 200 linesNet win ✓
Keeping 14 functions to avoid writing 2Net loss ✗
"Better organized" but more codeMore entropy ✗
"More flexible" but more codeMore entropy ✗
"Cleaner separation" but more codeMore entropy ✗

Measure the end state, not the effort.


Before You Begin

Load a mindset from references/:

  1. List files in references/
  2. Read frontmatter descriptions
  3. Pick at least one that applies
  4. State which you loaded and its core principle

Available mindsets:

  • simplicity-vs-easy.md — Simple is objective; easy is subjective. Choose simple.
  • design-is-taking-apart.md — Good design separates concerns, removes dependencies.
  • data-over-abstractions.md — 100 functions on one structure beats 10 on 10.
  • expensive-to-add-later.md — When YAGNI doesn't apply (PAGNI exceptions).

Three Questions

1. What's the smallest codebase that solves this?

Not "what's the smallest change" — what's the smallest *result*.

  • Could this be 2 functions instead of 14?
  • Could this be 0 functions (delete the feature)?
  • What would we delete if we did this?

2. Does the proposed change result in less total code?

Count lines before and after. If after > before, challenge it.

Before: 847 lines across 12 files
After:  623 lines across 8 files
Verdict: ✓ Net reduction of 224 lines

3. What can we delete?

Every change is an opportunity to delete. Ask:

  • What does this make obsolete?
  • What was only needed because of what we're replacing?
  • What's the maximum we could remove?

Red Flags

PhraseWhat It HidesChallenge
"Keep what exists"Status quo bias"Total code is the metric, not churn"
"This adds flexibility"Speculative generality"Flexibility for what? Is it needed now?"
"Better separation of concerns"More files = more code"Separation isn't free. Worth how many lines?"
"Type safety"Sometimes bloats code"Worth how many lines? Could runtime checks work?"
"Easier to understand"More things ≠ easier"14 things are not easier than 2 things"
"This is the pattern"Pattern worship"Does the pattern fit, or are we forcing it?"
"We might need this later"YAGNI violation"Delete it. Git remembers."

Deletion Checklist

Before completing any refactor, ask:

  • [ ] Did I count lines before and after?
  • [ ] Did I delete everything this change makes obsolete?
  • [ ] Did I remove any now-unnecessary abstractions?
  • [ ] Did I consolidate files that are too small to stand alone?
  • [ ] Did I delete tests for deleted code?
  • [ ] Did I update imports to remove dead dependencies?

When This Doesn't Apply

  • The codebase is already minimal for what it does
  • You're in a framework with strong conventions (don't fight it)
  • Regulatory/compliance requirements mandate certain structures
  • The "simpler" version would be genuinely unmaintainable (rare)

NEVER Do

  1. NEVER keep code "in case we need it" — delete it; git has history
  2. NEVER add abstractions for fewer than 3 use cases — wait for the pattern to emerge
  3. NEVER create new files for single functions — colocate with usage
  4. NEVER preserve code just because someone wrote it — evaluate on merit
  5. NEVER accept "more organized" as justification for more code — organization should reduce, not increase
  6. NEVER skip the line count — measure before and after; feelings lie
  7. NEVER add "flexibility" without immediate need — YAGNI applies
  8. NEVER refactor without deleting something — if nothing becomes obsolete, question the value

Quick Wins

PatternAction
Wrapper that just forwards callsInline the wrapped code
Config file with 2 settingsMove to environment variables
Utils file with 1 functionMove function to where it's used
Interface with 1 implementationDelete the interface
Abstract class with 1 subclassMerge into concrete class
Module that re-exports everythingDelete; import from source
Comments explaining obvious codeDelete comments; code is clear

The Grug Perspective

"complexity very very bad. say again: complexity very bad. you think you not, but you are."

Grug brain developer knows:

  • Complexity demon hides in abstraction
  • More code = more bugs = more complexity
  • Best code is no code
  • Second best code is simple code
  • If you can't understand it in your head, it's too complex

References

Philosophical foundations for simplicity thinking:

ReferenceCore Principle
simplicity-vs-easy.mdSimple (objective) vs easy (subjective) — choose simple
design-is-taking-apart.mdGood design separates; composition beats construction
data-over-abstractions.mdGeneric data + many functions beats many custom types
expensive-to-add-later.mdPAGNI exceptions — what you probably are gonna need

External resources:

平台分布

OpenClaw

91.95%
按下载量换算7,670

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。目前只有一个公开来源,建议同时核对源仓库。

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