Extends TeglonLabs/coin-flip-mcp with GF(3) ternary decision logic.
Scanned 9/6/2026
Install to Claude Code
npx -y skills add plurigrid/asi --skill trialectical-coin --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Trialectical Coin?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/plurigrid-trialectical-coin)More formats (shields.io, HTML) on the badges page.
---
name: trialectical-coin
description: Extends TeglonLabs/coin-flip-mcp with GF(3) ternary decision logic.
metadata:
interface_ports:
- References
- Integration with
trit: 0
---
# Trialectical Coin Skill
Extends TeglonLabs/coin-flip-mcp with GF(3) ternary decision logic.
## Source
- **Repository**: [TeglonLabs/coin-flip-mcp](https://github.com/TeglonLabs/coin-flip-mcp)
- **Trit**: 0 (ERGODIC - meta-decision coordinator)
## Overview
The trialectical coin replaces binary true/false with ternary −/○/+ outcomes:
| Outcome | Trit | Meaning | Action |
|---------|------|---------|--------|
| Heads | +1 | PLUS | Generate, create, affirm |
| _ | 0 | ERGODIC | Defer, observe, coordinate |
| Tails | −1 | MINUS | Validate, verify, negate |
## GF(3) Conservation
Every trialectical flip maintains conservation:
- Single flip: outcome ∈ {−1, 0, +1}
- Triple flip: Σ(outcomes) ≡ 0 (mod 3) when balanced
- Meta-decisions use the ERGODIC outcome to defer to oracle
## MCP Tools
### `trialectical_flip`
Flip a 3-sided coin with GF(3) semantics.
```json
{
"name": "trialectical_flip",
"arguments": {
"seed": 1069,
"context": "Should I generate or validate?"
}
}
```
**Returns**:
```json
{
"outcome": "+",
"trit": 1,
"meaning": "PLUS: Generate, create, affirm",
"color": "#E67F86",
"gf3_balanced": true
}
```
### `trialectical_batch`
Flip N coins, ensuring GF(3) conservation.
```json
{
"name": "trialectical_batch",
"arguments": {
"count": 6,
"seed": 1069
}
}
```
**Returns**:
```json
{
"outcomes": ["+", "−", "○", "+", "−", "○"],
"trits": [1, -1, 0, 1, -1, 0],
"sum": 0,
"conserved": true
}
```
### `trialectical_oracle`
Meta-decision: flip until reaching consensus (3 same outcomes).
```json
{
"name": "trialectical_oracle",
"arguments": {
"question": "Which skill to invoke?",
"options": ["narya-proofs", "gay-mcp", "bisimulation-game"]
}
}
```
## Ising State Model
The trialectical coin implements an Ising model where:
- Spins: σᵢ ∈ {−1, 0, +1}
- Energy: E = −J Σ σᵢσⱼ (ferromagnetic coupling)
- Temperature: τ controls randomness vs determinism
At τ=0: Deterministic (same seed → same outcome)
At τ→∞: Maximum entropy (equal probability)
At τ=τ*: Critical point (BKT transition)
## Usage Patterns
### Decision Branching
```
flip = trialectical_flip()
if flip.trit == 1:
# PLUS: Generate new content
elif flip.trit == -1:
# MINUS: Validate existing content
else:
# ERGODIC: Defer to oracle or user
```
### Triadic Task Assignment
```
flips = trialectical_batch(3)
# Assign to subagents based on trit:
# flips[1] → MINUS validator
# flips[2] → ERGODIC coordinator
# flips[3] → PLUS generator
```
### GF(3)-Balanced Exploration
```
# Ensure sum of decisions = 0 (mod 3)
while not conserved:
flips = trialectical_batch(n)
if sum(flips.trits) % 3 == 0:
conserved = true
```
## Random.org Integration
For true randomness (not pseudo-random):
1. Query random.org for integer in [0, 2]
2. Map: 0 → −1 (Tails), 1 → 0 (_), 2 → +1 (Heads)
3. Cache for offline use with Gay.jl fallback
## Skill Correspondences
| Outcome | Skill Pattern | Example |
|---------|---------------|---------|
| PLUS (+1) | Generation | `gay-mcp`, `free-monad-gen` |
| ERGODIC (0) | Coordination | `bisimulation-game`, `duckdb-ies` |
| MINUS (−1) | Validation | `narya-proofs`, `cybernetic-immune` |
## Installation
```bash
# Clone TeglonLabs repo
git clone https://github.com/TeglonLabs/coin-flip-mcp
cd coin-flip-mcp
npm install
npm run build
# Add to Claude config
# ~/.config/claude/claude_desktop_config.json
```
## Configuration
```json
{
"mcpServers": {
"trialectical-coin": {
"command": "node",
"args": ["/path/to/coin-flip-mcp/build/index.js"],
"env": {
"RANDOM_ORG_API_KEY": "your-key-here"
}
}
}
}
```
---
## End-of-Skill Interface
## Integration with Gay.jl
```julia
using Gay
# Seed from gay_seed for reproducibility
gay_seed!(1069)
# Flip using Gay.jl color-to-trit mapping
color = gay_color_at(42)
trit = gay_trit_at(42) # Derived from hue
outcome = trit == 1 ? "Heads" : trit == -1 ? "Tails" : "_"
```
## References
- [AIP-41](https://aptos.dev/build/smart-contracts/randomness) - Aptos on-chain randomness
- [Gay.jl](https://github.com/bmorphism/Gay.jl) - Deterministic color generation
- [Ising Model](https://en.wikipedia.org/wiki/Ising_model) - Statistical mechanics basis
- [GF(3)](https://en.wikipedia.org/wiki/GF(3)) - Field with 3 elements
---
## Autopoietic Marginalia
> **The interaction IS the skill improving itself.**
Every use of this skill is an opportunity for worlding:
- **MEMORY** (-1): Record what was learned
- **REMEMBERING** (0): Connect patterns to other skills
- **WORLDING** (+1): Evolve the skill based on use
*Add Interaction Exemplars here as the skill is used.*
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!