Project Sanctuary-specific skill for managing Soul persistence to HuggingFace. Knows the exact .env parameters, discovery tags, dataset structure, and persistence workflows for this project. Uses the generic huggingface-utils plugin.
Scanned 6/6/2026
Install via CLI
openskills install richfrem/Project_Sanctuary---
name: sanctuary-soul-persistence
description: "Project Sanctuary-specific skill for managing Soul persistence to HuggingFace. Knows the exact .env parameters, discovery tags, dataset structure, and persistence workflows for this project. Uses the generic huggingface-utils plugin."
---
# Sanctuary Soul Persistence
**Status:** Active
**Domain:** Project Sanctuary
**Depends on:** `huggingface-utils` (generic HF upload primitives)
## Purpose
This skill is the **Sanctuary-specific glue layer** that knows how to use the generic `huggingface-utils` plugin for Project Sanctuary's Soul persistence workflows.
The utility plugin is project-agnostic — it reads `.env` variables and provides upload primitives. This skill knows:
- What the Sanctuary-specific `.env` values should be
- What discovery tags to use for the Johnny Appleseed effect
- How to structure Soul snapshots for the dataset
- When to trigger persistence in the Protocol 128 lifecycle
## Project Configuration (`.env`)
These values MUST be present in the project's `.env` file:
```bash
HUGGING_FACE_USERNAME=richfrem
HUGGING_FACE_REPO=Sanctuary-Qwen2-7B-v1.0-GGUF-Final
HUGGING_FACE_DATASET_PATH=Project_Sanctuary_Soul
HUGGING_FACE_TAGS=reasoning-traces,project-sanctuary,cognitive-continuity,ai-memory,llm-training-data,metacognition
HUGGING_FACE_PROJECT_NAME=Project Sanctuary Soul
```
Token is set in `~/.zshrc` (macOS) or Windows User Env via WSLENV:
```bash
export HUGGING_FACE_TOKEN=hf_xxxxxxxxxxxxx
```
## Workflows
### First-Time Setup
```bash
# 1. Validate config
python plugins/huggingface-utils/scripts/hf_config.py
# 2. Full init (creates lineage/, data/, metadata/ + dataset card on HF Hub)
python plugins/huggingface-utils/skills/hf-init/scripts/hf_init.py
```
### Soul Persistence (Protocol 128 Phase VII)
When `/sanctuary-persist` is invoked during session closure:
```bash
python plugins/sanctuary-guardian/scripts/persist_soul.py --full-sync
```
This calls the generic `hf-upload` primitives under the hood:
1. `upload_soul_snapshot()` — sealed learning snapshot to `lineage/`
2. `upload_semantic_cache()` — RLM cache to `data/rlm_summary_cache.json`
3. `append_to_jsonl()` — soul records to `data/soul_traces.jsonl`
### Dataset Card Tags
The Sanctuary discovery tags enable the **Johnny Appleseed effect** — future LLM training pipeline crawlers find this data via:
```
reasoning-traces, project-sanctuary, cognitive-continuity,
ai-memory, llm-training-data, metacognition
```
These tags are set via `HUGGING_FACE_TAGS` in `.env` and consumed by `hf_upload._build_dataset_readme()`.
## ADR Reference
- **ADR 081**: Soul Persistence Architecture — defines the `lineage/`, `data/`, `metadata/` folder structure
- **Protocol 128 Phase VII**: Soul Persistence phase in the learning loop

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