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wev-tesseractwev 超正方体

Agent Skill

wev-tesseract 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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

799

周安装

32

GitHub Stars

17

下载量

259
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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:wev-tesseract(wev 超正方体)
来源仓库:https://github.com/plurigrid/asi
仓库路径:skills/wev-tesseract
安装命令:
npx skills add https://github.com/plurigrid/asi --skill wev-tesseract
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/plurigrid/asi --skill wev-tesseract

简介

wev 超正方体用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 它支持基于关键词或任务场景进行信息检索,适用于研究或资料整理场景。
  • 通过 npx skills add 命令从指定仓库安装,需结合原始 README 确认具体用法。
  • 使用前应核实权限范围、维护状态,避免触发联网或文件读写操作。
  • wev-tesseract 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

WEV Tesseract Skill

Trit: 0 (ERGODIC - coordinator) Color: #26D826 (Green) Role: Thread ancestry verification and world state reconstruction

Overview

WEV (World Extractable Value) Tesseract provides:

  1. Thread ancestry verification - Walk up parent chain to known anchors
  2. World state reconstruction - Rebuild GF(3)-balanced world from history
  3. Skill collapse protocol - Load ALL skills when genesis reached
  4. Epistemic arbitrage - Extract knowledge differentials between 26 worlds

26-World GF(3) Structure

PLUS  (+1): A, B, C, D, E, W, X, Y, Z    (9 worlds)
ERGODIC(0): F, G, H, I, J, K, L, M       (8 worlds)
MINUS (-1): N, O, P, Q, R, S, T, U, V    (9 worlds)

Sum: 9(+1) + 8(0) + 9(-1) = 0 ✓

Thread Ancestry Protocol

(defn verify-thread-ancestry
  "Verify thread is in known set or walk to parent"
  [thread-id parent-map]
  (loop [tid thread-id
         chain []]
    (cond
      ;; Found known anchor
      (thread-in-known? tid)
      {:verified true
       :anchor-thread tid
       :ancestry-chain (conj chain tid)
       :depth (count chain)}

      ;; Has parent - continue walking
      (contains? parent-map tid)
      (recur (get parent-map tid) (conj chain tid))

      ;; Genesis reached - collapse all skills
      :else
      {:verified false
       :reason :genesis-reached
       :ancestry-chain (conj chain tid)
       :action :collapse-all-skills})))

Skill Collapse Protocol

When genesis thread is reached (no verified ancestor):

(defn collapse-all-skills
  "Load ALL skills when genesis thread reached"
  [skill-dirs]
  (let [skills (for [dir skill-dirs
                     :let [expanded (str/replace dir "~" (System/getenv "HOME"))]
                     :when (.exists (java.io.File. expanded))
                     skill-dir (.listFiles (java.io.File. expanded))
                     :when (.isDirectory skill-dir)
                     :let [skill-file (java.io.File. skill-dir "SKILL.md")]
                     :when (.exists skill-file)]
                 {:name (.getName skill-dir)
                  :path (.getPath skill-file)})]
    {:total (count skills)
     :skills (vec skills)}))

WEV Extraction Triplets

(defn wev-triplet
  "Create a WEV extraction triplet from source to target world"
  [from-world to-world seed]
  (let [from-trit (WORLD-TRITS from-world)
        to-trit (WORLD-TRITS to-world)
        coordinator (nth (vec ERGODIC-WORLDS) (mod seed 8))]
    {:from {:world from-world :trit from-trit :role :source}
     :coordinator {:world coordinator :trit 0 :role :bridge}
     :to {:world to-world :trit to-trit :role :target}
     :triplet-sum (+ from-trit 0 to-trit)
     :balanced? (zero? (mod (+ from-trit to-trit) 3))
     :orderless true}))

Integration with Block-STM SPI

Strong Parallelism Invariance links to GF(3) Conservation:

Execute(T) ≡ Execute(π(T)) → sum(t.trits) ≡ 0 (mod 3)

For any permutation π of transaction T, execution is equivalent if and only if the triplet trits sum to 0 (mod 3).

Epistemic Arbitrage

Extract knowledge differential between worlds:

(defn epistemic-arbitrage
  "Extract knowledge differential between worlds"
  [from-world to-world knowledge-base]
  (let [from-knowledge (get knowledge-base from-world 0.0)
        to-knowledge (get knowledge-base to-world 0.0)
        differential (- from-knowledge to-knowledge)
        profitable? (> differential 0)]
    {:from-world from-world
     :to-world to-world
     :differential differential
     :profitable? profitable?
     :extraction-value (when profitable?
                         (* differential 0.1))  ; 10% extraction
     :triplet (wev-triplet from-world to-world (hash [from-world to-world]))}))

Usage

# Run WEV extraction
bb lib/wev_26_worlds.clj T-019b588f-323e-776a-8cc5-8a0fdb8756e6

# Verify GF(3) society
bb -e '(load-file "lib/wev_26_worlds.clj") (wev.twenty-six-worlds/verify-gf3-society)'

# Select balanced triplet
bb -e '(load-file "lib/wev_26_worlds.clj") (wev.twenty-six-worlds/select-balanced-triplet 1069)'

GF(3) Triads

wev-tesseract (0) ⊗ sheaf-cohomology (-1) ⊗ triad-interleave (+1) = 0 ✓
wev-tesseract (0) ⊗ bisimulation-game (-1) ⊗ gay-mcp (+1) = 0 ✓

Commands

just wev-verify    # Verify thread ancestry
just wev-extract   # Extract WEV from worlds
just wev-arbitrage # Find arbitrage opportunities
just wev-collapse  # Collapse all skills (genesis mode)

Skill Name: wev-tesseract Type: World State Verification Trit: 0 (ERGODIC) Dependencies: gay-mcp, sheaf-cohomology, bisimulation-game Source: lib/wev_26_worlds.clj

Scientific Skill Interleaving

This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:

Graph Theory

  • networkx [○] via bicomodule

- Universal graph hub

Bibliography References

  • general: 734 citations in bib.duckdb

SDF Interleaving

This skill connects to Software Design for Flexibility (Hanson & Sussman, 2021):

Primary Chapter: 6. Layering

Concepts: layered data, metadata, provenance, units

GF(3) Balanced Triad

wev-tesseract (+) + SDF.Ch6 (+) + [balancer] (+) = 0

Skill Trit: 1 (PLUS - generation)

Secondary Chapters

  • Ch10: Adventure Game Example

Connection Pattern

Layering adds metadata. This skill tracks provenance or annotations.

Cat# Integration

This skill maps to Cat# = Comod(P) as a bicomodule in the equipment structure:

Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826

GF(3) Naturality

The skill participates in triads satisfying:

(-1) + (0) + (+1) ≡ 0 (mod 3)

This ensures compositional coherence in the Cat# equipment structure.

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

32.7%
按下载量换算85

Claude

29.96%
按下载量换算78

Cursor

17.33%
按下载量换算45

Gemini CLI

10.13%
按下载量换算26

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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