IECsat Storage Skill
Scanned 9/6/2026
Install to Claude Code
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---
name: iecsat-storage
description: IECsat Storage Skill
trit: 0
color: "#26D826"
catsharp:
home: Prof
poly_op: ⊗ (parallel)
kan_role: Adj
bicomodule: true
---
# iecsat-storage Skill
> *"69 bytes of mutual awareness per tile. 3 × 23. Triadic by design."*
## Overview
**IECsat Storage** calculates on-chain storage costs for Plus Code tiles with GF(3)-conserved mutual awareness. Each tile maintains exactly 69 bytes of state.
## The 69-Byte Structure
```
69 = 3 × 23 (triadic decomposition)
┌─────────────────────────────────────────────────────────┐
│ 69-BYTE TILE STATE │
├─────────────────────────────────────────────────────────┤
│ PLUS (+1) │ ERGODIC (0) │ MINUS (-1) │
│ 23 bytes │ 23 bytes │ 23 bytes │
│ GENERATOR │ COORDINATOR │ VALIDATOR │
├────────────────┼────────────────┼──────────────────────┤
│ state_hash │ neighbor_refs │ proof_data │
│ (20 bytes) │ (20 bytes) │ (20 bytes) │
│ trit (1 byte) │ trit (1 byte) │ trit (1 byte) │
│ flags (2 B) │ flags (2 B) │ flags (2 B) │
└────────────────┴────────────────┴──────────────────────┘
Σ(trit) = +1 + 0 + (-1) = 0 ✓ CONSERVED
```
## Plus Code Precision Levels
| Length | Tiles | Resolution | Example |
|--------|-------|------------|---------|
| 2 | 162 | 2,226 km | Global quadrant |
| 4 | 64,800 | 111 km | Country region |
| 6 | 25.9M | 5.6 km | City district |
| 8 | 10.4B | 278 m | City block |
| 10 | 4.1T | 14 m | Building |
| 11 | 83T | 70 cm | Room |
| 13 | 33Q | 14 cm | Object |
| 15 | 13 quint | 5.6 mm | Component |
| 17 | 5.3 sext | 223 μm | Microstructure |
## Storage Cost Analysis (Aptos Mainnet)
```
Pricing assumptions:
- Storage cost: 0.00001 APT per byte
- APT price: $12 USD
- Bytes per tile: 69
Cost formula:
APT = tiles × 69 × 0.00001
USD = APT × 12
```
### Cost Table
| Precision | Tiles | Storage | APT | USD |
|-----------|-------|---------|-----|-----|
| 10-char | 4.15T | 286 TB | 2.86M | $34.3B |
| 11-char | 82.9T | 5.7 PB | 57.2M | $687B |
| 12-char | 1.66Q | 114 PB | 1.14B | $13.7T |
| 13-char | 33.2Q | 2.29 EB | 22.9B | $275T |
| 17-char | 5.31S | 366 ZB | 3.66Q | $44 quint |
## Hierarchical Strategy
```
┌─────────────────────────────────────────────────────────┐
│ ON-CHAIN (APTOS) │
│ 10-char root tiles: 4.1T × 69B = 286 TB │
│ Cost: 2.86M APT ($34B) │
│ Contains: Merkle roots for child tiles │
├─────────────────────────────────────────────────────────┤
│ OFF-CHAIN (ARWEAVE) │
│ 11-17 char tiles: Content-addressed │
│ Proof: Merkle path from root → leaf │
│ Cost: ~$0.005/MB permanent storage │
└─────────────────────────────────────────────────────────┘
```
## Denotation
```
IECsat : PlusCode → (TileState × MerkleProof)
where:
TileState = { plus: 23B, ergodic: 23B, minus: 23B }
MerkleProof = Path from 10-char root to target tile
Invariant: ∀ tile: Σ(trit) ≡ 0 (mod 3)
```
## Practical Applications
### Battery Cell Tracking (238.8B cells)
```
Cells: 238,800,000,000
Storage: 238.8B × 69B = 16.5 TB
APT: 165M APT
USD: $1.98B
Fraction of APT supply: 16.5%
```
### Global Building Coverage (10-char)
```
All buildings worldwide: ~1 billion
Storage: 1B × 69B = 69 GB
APT: 690K APT
USD: $8.3M
```
## Move Implementation
```move
struct TileState has store, copy, drop {
// PLUS (+1) - 23 bytes
generator_hash: vector<u8>, // 20 bytes
generator_trit: u8, // 1 byte
generator_flags: u16, // 2 bytes
// ERGODIC (0) - 23 bytes
coordinator_refs: vector<u8>, // 20 bytes
coordinator_trit: u8, // 1 byte
coordinator_flags: u16, // 2 bytes
// MINUS (-1) - 23 bytes
validator_proof: vector<u8>, // 20 bytes
validator_trit: u8, // 1 byte
validator_flags: u16, // 2 bytes
}
public fun is_gf3_conserved(state: &TileState): bool {
let sum = (state.generator_trit as i8 - 1) + // 2 → +1
(state.coordinator_trit as i8) + // 0 → 0
(state.validator_trit as i8 - 1); // 1 → -1 (adjusted)
sum == 0
}
```
## Commands
```bash
# Calculate storage for N tiles
python3 -c "
tiles = 4_147_200_000_000 # 10-char
bytes_per_tile = 69
apt_per_byte = 0.00001
apt_price = 12
total_bytes = tiles * bytes_per_tile
total_apt = total_bytes * apt_per_byte
total_usd = total_apt * apt_price
print(f'Tiles: {tiles:,}')
print(f'Storage: {total_bytes/1e12:.2f} TB')
print(f'APT: {total_apt/1e6:.2f}M')
print(f'USD: \${total_usd/1e9:.2f}B')
"
```
## GF(3) Triads
```
iecsat-storage (0) ⊗ aptos-gf3-society (+1) ⊗ merkle-validation (-1) = 0 ✓
iecsat-storage (0) ⊗ plus-codes (+1) ⊗ content-addressing (-1) = 0 ✓
```
---
**Skill Name**: iecsat-storage
**Type**: Storage Cost Estimation / On-Chain Economics
**Trit**: 0 (ERGODIC - COORDINATOR)
**GF(3)**: Mediates between tile generation and validation
## Cat# Integration
This skill maps to Cat# = Comod(P) as a bicomodule in the Prof home:
```
Trit: 0 (ERGODIC)
Home: Prof (profunctors/bimodules)
Poly Op: ⊗ (parallel composition)
Kan Role: Adj (adjunction bridge)
```
### GF(3) Naturality
The skill participates in triads where:
```
(-1) + (0) + (+1) ≡ 0 (mod 3)
```
This ensures compositional coherence in the Cat# equipment structure.
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