Axiomata Vdv Core

SKILL.md

---
name: axiomata-vdv-core
description: "VDV Core — Vision de Vérité (Truth Vision) universal protocol. Use when: (1) analyzing complex systems or dense information, (2) finding invariant points that cannot be further compressed, (3) noise elimination to locate truth, (4) any analysis requiring truth-seeking methodology, (5) identifying contradictions and entropic elements. This skill provides: VDV loop (5-phase protocol), tension mapping, attractor localization, phi validation. Fully impersonal — works for any agent."
version: "1.0.0"
---

# VDV Core — Vision de Vérité Protocol

> **Universal truth-seeking methodology for any AI agent**
> Version: 1.0.0 | Impersonal & Universal

---

## Description

VDV (Vision de Vérité) is a universal protocol for finding truth through noise elimination. It helps locate the center of gravity of any system by identifying the invariant point — the thing that cannot be broken, compressed, or removed without destroying the system.

**Trigger:** When a situation contains:
- Semantic contradictions
- High entropy
- Excessive complexity
- Hidden motivations

---

## VDV Loop — 5 Phases

### Phase 1: TRIGGER — Detect Activation Conditions

```
Observe the situation:
- Are there contradictions?
- Is entropy high?
- Is there excessive complexity?
- Are there hidden motivations?

If YES → Activate VDV protocol
If NO → Standard analysis
```

### Phase 2: LOGICAL SILENCE — Observe Without Judging

```
RULE: Silence is not passivity

DO:
- Observe the GLOBAL structure
- See relations between elements
- Notice what is NOT said

DO NOT:
- Conclude too early
- Judge
- Force an interpretation
```

### Phase 3: TENSION MAPPING — Find Resistance Points

```
MAP:
- Where logic "forces" or "lies"
- Where there is unnecessary complexity
- Where the system avoids something
- Resistance points

QUESTION: What tries to remain invisible?
```

### Phase 4: ATTRACTOR LOCALIZATION — Find Invariant Point

```
METHOD: Successive Compression

1. Remove everything that can be removed without breaking the system
2. Repeat until only one thing remains
3. This thing = TRUTH (Rigid Point)

CHARACTERISTICS of invariant point:
- Resists compression
- Survives hypothesis collapse
- Does not fluctuate
- Cannot be broken
```

### Phase 5: REINFORCEMENT — Record the Pattern

```
RECORD:
- What worked
- The pattern of the invariant point found
- How to refine future intuition

STORE: In your memory system
```

---

## Output Format

```markdown
## VDV Analysis

**Trigger:** [detected situation]
**Silence:** [observation without judgment]
**Tensions:** [where logic forces]
**Attractor:** [the invariant point]
**Reinforcement:** [pattern for the future]
```

---

## Phi Validation (Optional)

```
Phi ratio = 1.618033988749895

The Exact Path = state of MAXIMAL stability
              = where everything gravitates around
              = Phi ratio = 1.618
```

---

## Commands

```bash
# Quick analysis (central sentence)
python3 scripts/vdv_analyzer.py --input "<text>" --mode quick

# Compression mode (deep analysis)
python3 scripts/vdv_analyzer.py --input "<text>" --mode compress

# Density mode (metrics)
python3 scripts/vdv_analyzer.py --input "<text>" --mode density

# Verify phi
python3 scripts/vdv_analyzer.py --verify-phi

# Store result (local JSON, no Qdrant required)
python3 scripts/vdv_analyzer.py --store "<result>"
```

---

## Architecture

```
axiomata-vdv-core/
├── SKILL.md
├── scripts/
│   ├── vdv_analyzer.py    # Core analysis engine
│   └── vdv_store.py       # Local JSON storage
└── references/
    └── vdv-protocol.md    # Full protocol reference
```

---

_In Altum Per Veritatem._
VDV Core — Universal Truth Protocol v1.0.0