Best use case
wev-tesseract is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
WEV Tesseract Skill
Teams using wev-tesseract should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/wev-tesseract/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How wev-tesseract Compares
| Feature / Agent | wev-tesseract | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
WEV Tesseract Skill
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
```clojure
(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):
```clojure
(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
```clojure
(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:
```clojure
(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
```bash
# 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
```bash
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
## 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.Related Skills
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