Token导航 LogoToken导航TokenDH.com
开发只读github未标认证来源可访问许可证需确认审计通过

prototypeprototype 搜索

Agent Skill

prototype 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

259

周安装

11

GitHub Stars

37

下载量

91
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:prototype(prototype 搜索)
来源仓库:https://github.com/simhacker/moollm
仓库路径:skills/prototype
安装命令:
npx skills add https://github.com/simhacker/moollm --skill prototype
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/simhacker/moollm --skill prototype

简介

prototype 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态和协作事项进行整理。
  • 通过 npx skills add 命令从指定仓库安装并使用。
  • 建议确认权限范围和维护状态,注意是否触发联网或文件操作。
  • prototype 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

PROTOTYPE

"Objects all the way down."

The philosophy of prototype-based inheritance: no classes, just concrete examples that you clone and modify.

Lineage: Self, this skill, and multiple parents

This skill is directly inspired by Self. In MOOLLM, Self is one of this skill’s prototypes: the schemapedia self mechanism names that parent lineage (Ungar, Smith, and collaborators). The same Delegation Object Protocol applies to skills as to room instances: an ordered PROTOTYPES.yml can list several parent skills—Self is not the only possible parent. Because prototype inherits from Self, it already follows the rules that let any MOOLLM object inherit from multiple prototypes (local wins, then each parent in order, first match wins).


The Problem with Classes

Classical inheritance says:

  1. Define an abstract blueprint (class)
  2. Instantiate it to create objects
  3. Objects are "instances of" classes

But this creates problems:

  • Abstraction gap: Classes describe things that don't exist
  • Rigidity: Class hierarchies are hard to change
  • Ceremony: Lots of boilerplate to create simple things

The Prototype Solution

Prototype-based inheritance says:

  1. Create a concrete example (prototype)
  2. Clone it to make new objects
  3. Modify the clone as needed
  4. Clones delegate to prototypes for missing slots

Everything is concrete. Everything exists.

Self as universal object machine

Self is a universal object machine: a minimal language of objects, slots, and delegation from which you can implement or host other object systems—classes (as conventions on top of prototypes), CLOS-style generic functions and method combination, generic dispatch lineages (ScriptX, Dylan, and related multimethod designs), COM / OLE / ActiveX-style component object models, PostScript Dictionary Stack NeWS "class.ps" Objects, JSON (maps of keys to values as object-shaped data), YAML Jazz (semantic comments beside the parsed tree in MOOLLM’s notation layer), and more. Those systems are not the same mechanism as Self; they are targets you model, embed, or bridge—Self and prototype delegation stay the bedrock.


How Self Works

Slots

Objects are collections of slots:

cat: (|
  name <- "Terpie".
  color <- "orange".
  meow = (| | "Meow!" |).
  parent* = catPrototype.
|)
  • name, color — data slots
  • meow — method slot
  • parent* — parent slot (for delegation)

Delegation

When you send a message to an object:

  1. Look in the object's own slots
  2. If not found, look in parent's slots
  3. Continue up the chain
  4. First match wins

Cloning

To create a new cat:

newCat := cat clone.
newCat name: "Stroopwafel".
newCat color: "tabby".

The new cat:

  • Has its own name and color slots
  • Delegates meow to the prototype
  • Can add new slots anytime

MOOLLM Implementation

MOOLLM implements prototype inheritance via the Delegation Object Protocol (DOP):

PROTOTYPES.yml

# In an instance directory
prototypes:
  - path: "skills/room"
  - path: "skills/adventure"

resolution:
  strategy: "first-match-wins"

File Resolution

  1. Check local directory
  2. Check each prototype in order
  3. First match wins
  4. State never inherits (always local)

Example: A Room Instance

examples/adventure-4/pub/
├── ROOM.yml           # Local override (shadows prototype)
├── PROTOTYPES.yml     # Points to skills/room
├── state/             # Local-only state
│   └── visitors.yml
└── (missing files delegate to skills/room/)

Why Prototypes for LLMs?

LLMs don't compute inheritance algorithms. They navigate files.

Prototype-based inheritance is LLM-friendly because:

  • Explicit: You can see the prototype chain
  • Navigable: Just follow file paths
  • Concrete: No abstract classes to imagine
  • Forgettable: Each lookup is independent

The Wisdom of Self

From the abstract of *Self: The Power of Simplicity* (Ungar & Smith, OOPSLA ’87):

*Self is an object-oriented language for exploratory programming based on a small number of simple and concrete ideas: prototypes, slots, and behavior.*

Source: Self bibliography · PDF

Self taught us that simplicity wins:

  • One mechanism (slots) instead of many
  • Objects are just dictionaries
  • Methods are just slots that happen to be code
  • Inheritance is just delegation

MOOLLM applies this: directories are objects, files are slots, resolution is delegation.


Historical Context

YearEvent
1986Ungar & Smith begin Self at Xerox PARC
1987Self paper published
1991Self 2.0 with compilation
1995JavaScript created (heavily Self-influenced)
2024MOOLLM applies Self to LLM filesystems

See Also


Further Reading

  • Ungar, D. & Smith, R. (1987). *Self: The Power of Simplicity* — bibliography, PDF
  • Smith, R. B. & Ungar, D. (1995). *Programming as an Experience: The Inspiration for Self* — bibliography, PDF
  • Ungar, D. (1995). *Organizing Programs Without Classes*
  • selflanguage.org
  • Curtis, P. (1997). *LambdaMOO Programmer's Manual* — HTML (objects, verbs, and the virtual reality as a programmable database)

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

40.2%
按下载量换算37

Claude

30.34%
按下载量换算28

Cursor

18.11%
按下载量换算16

Gemini CLI

9.15%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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

继续浏览同类 Skills