# Repository Scaffold for Trust-Based Ecosystem (Private Stage)

## Directory Structure
```
/architecture
  README.md
  module.lct.json

/modules
  /sensors
    README.md
    module.lct.json
  /memory
    README.md
    module.lct.json
  /confidence
    README.md
    module.lct.json
  /integration
    README.md
    module.lct.json

/governance
  coherence_check.py
  README.md

/docs
  architecture_overview.md
  system_diagrams/

/tests
  test_memory_module.py
  test_sensor_crossvalidator.py

/integration
  ai_collab_log.md

README.md
README_public.md
```

---

## Example Module README Template (`README.md`)
```md
# Module Name

## Purpose
Briefly describe what this module does and why it exists in the ecosystem.

## Dependencies
List any internal modules or external libraries required.

## Interactions
Explain how this module communicates with others (APIs, data formats, event hooks).

## Governance Hooks
- LCT ID: [link or reference]
- T3/V3 update frequency: e.g., per commit, per PR, per week
```

---

## Example Metadata Descriptor (`module.lct.json`)
```json
{
  "lct_id": "string-uuid-or-hash",
  "name": "Module Name",
  "provenance": {
    "created_by": "entity-name-or-hash",
    "created_on": "YYYY-MM-DD",
    "reason": "initial implementation / refactor / feature addition"
  },
  "t3": {
    "talent": "string/metric",
    "training": "string/metric",
    "temperament": "string/metric"
  },
  "v3": {
    "validity": "score or descriptor",
    "verifiability": "score or descriptor",
    "value": "score or descriptor"
  },
  "update_history": []
}
```

---

## Governance Script (`coherence_check.py`)
```python
import json
import os

REPO_ROOT = os.path.dirname(os.path.abspath(__file__))

errors = []

for root, _, files in os.walk(REPO_ROOT):
    for file in files:
        if file == "module.lct.json":
            path = os.path.join(root, file)
            with open(path, 'r') as f:
                data = json.load(f)
                if not all(k in data for k in ["lct_id", "t3", "v3"]):
                    errors.append(f"Missing required keys in {path}")

if errors:
    print("Coherence check failed:")
    for e in errors:
        print("-", e)
    exit(1)
else:
    print("Coherence check passed.")
```

---

## AI Collaboration Log (`ai_collab_log.md`)
```md
# AI Collaboration Log

## [YYYY-MM-DD HH:MM]
**Agent:** ChatGPT
**Changes Made:**
- Added scaffolding for governance hooks
- Created example LCT metadata template

**Rationale:**
Establish baseline structure for Claude to populate in the next run.

**Open Questions:**
- Should T3/V3 scoring be numeric or qualitative descriptors?
- How will module provenance interact with multi-AI authorship?
```

---

## Public-Facing README (`README_public.md`)
```md
# Trust-Based Ecosystem (Preview)

This repository implements the foundations of a **trust-scored, modular intelligence framework**. Each component is treated as an entity with provenance, behavioral profile, and context-aware interaction.

**Key Principles:**
- Linked Context Tokens (LCTs) for traceability and trust
- T3/V3 signatures for capability and reliability scoring
- Synchronism and Web4 alignment for distributed coherence

![Architecture Diagram](docs/system_diagrams/highlevel.png)

*This is an early-stage, private development repository. Public release details will follow.*
```

